--- title: Benchlm emoji: 👀 colorFrom: gray colorTo: indigo sdk: static pinned: false license: apache-2.0 short_description: llm benchmarks --- ``` Independent LLM benchmarks for a wide range of models using custom prompts including category and discipline summaries. Tests are run using a modified llama.cpp server (supporting logprob completion mode) and/or textsynth server where noted. METHODOLOGY: All CoT and code tests are zero shot. All MC tests do two queries, 1 with answers in test order and 2nd with answers circularly shifted 1. To score a correct answer in MC both queries must answer correctly. Winogrande using logprob completion (evaluates the probability of a common completion for the two possible cases). TESTS: KNOWLEDGE: TQA - Truthful QA JEOPARDY - 100 Question JEOPARDY quiz LANGUAGE: LAMBADA - Language Modeling Broadened to Account for Discourse Aspects UNDERSTANDING: WG - Winogrande BOOLQ - Boolean questions STORYCLOZE - Story questions OBQA - Open Book Question / Answer SIQA - Social IQ RACE - Reading comprehension dataset from examinations MMLU - massive multitask language understanding MEDQA - medical QA REASONING CSQA - Common Sense Question Answer COPA - Choice of Plausible Alternatives HELLASWAG - Hella Situations with Adversarial Generations PIQA - Physical Interaction: Question Answering ARC - A12 Reasoning Challenge AGIEVAL - AGIEval logiqa, lsat, sat AGIEVALC - Gaokao SAT, logiqa, jec (Chinese) MUSR - Multimodal Semantic Reasoning COT: GSM8K - Grade School Math CoT BBH - Beyond the Imitation Game Bench Hard CoT MMLUPRO - massive multitask language understanding pro CoT AGIEVAL - satmath, aquarat AGIEVALC - mathcloze, mathqa (Chinese) MUSR - Multimodal Semantic Reasoning APPLE - 100 custom Apple Questions CODE: HUMANEVAL - Python HUMANEVALP - Python, extended test HUMANEVALX - Python, Java, Javascript, C++ MBPP - Python MBPPP - Python, extendend test CRUXEVAL - Python USE {TEST}FIM FOR FIM TEST, i.e. HUMANEVAL->HUMANEVALFIM ``` GENERAL MODELS: TEST | gemma-2-2b-it | gemma-2-9b-it | gemma-2-9b-it | gemma-2-9b-it | gemma-2-27b-it | glm-4-9b-chat | glm-4-9b-chat | granite-3.0-2b-instruct | granite-3.0-8b-instruct | internlm2_5-7b-chat | Meta-Llama-3-8B-Instruct | Meta-Llama-3.1-8B-Instruct | Meta-Llama-3.1-8B-Instruct | Meta-Llama-3.1-8B-Instruct | Meta-Llama-3.1-8B-Instruct | Llama-3.2-3B-Instruct | Ministral-8B-Instruct-2410 | Mistral-7B-Instruct-v0.3 | Mistral-Nemo-12B-Instruct-2407 | openchat-3.5-0106 | openchat-3.6-8b-20240522 | Phi-3-mini-4k-instruct | Phi-3-mini-128k-instruct | Phi-3-mini-128k-instruct | Phi-3.5-mini-8k-instruct | Phi-3.5-mini-128k-instruct | Phi-3-medium-128k-instruct | Qwen2-7B-Instruct | Qwen2-7B-Instruct | Qwen2.5-3B-32k-Instruct | Qwen2.5-3B-32k-Instruct | Qwen2.5-7B-32k-Instruct | Qwen2.5-7B-32k-Instruct | Qwen2.5-14B-32k-Instruct | Qwen2.5-32B-Instruct | SOLAR-10.7B-Instruct-v1.0 | solar-pro-preview-instruct | ---------------------------------------------|---------------|---------------|---------------|---------------|----------------|---------------|---------------|-------------------------|-------------------------|---------------------|--------------------------|----------------------------|----------------------------|----------------------------|----------------------------|-----------------------|----------------------------|--------------------------|--------------------------------|-------------------|--------------------------|------------------------|--------------------------|--------------------------|--------------------------|----------------------------|----------------------------|-------------------|-------------------|-------------------------|-------------------------|-------------------------|-------------------------|--------------------------|----------------------|---------------------------|----------------------------| params | 2.61B | 9.24B | 9.24B | 9.24B | 27.23B | 9.40B | 9.40B | 2.63B | 8.17B | 7.74B | 8.03B | 8.03B | 8.03B | 8.03B | 8.03B | 3.21B | 8.02B | 7.25B | 12.25B | 7.24B | 8.03B | 3.82B | 3.82B | 3.82B | 3.82B | 3.82B | 13.96B | 7.62B | 7.62B | 3.09B | 3.09B | 7.62B | 7.62B | 14.77B | 32.76B | 10.73B | 22.14B | quant | Q8_0 | IQ4_XS | Q4_K_M | Q6_K | IQ4_XS | IQ4_XS | Q6_K | Q6_K | Q6_K | IQ4_XS | Q6_K | Q4 | IQ4_XS | Q4_K_M | Q6_K | Q6_K | Q6_K | Q8_0 | IQ4_XS | Q8_0 | Q8_0 | Q8_0 | IQ4_XS | Q6_K | Q6_K | Q6_K | IQ4_XS | Q6_K | Q4 | IQ4_XS | Q6_K | IQ4_XS | Q6_K | IQ4_XS | IQ4_XS | Q4_K_M | IQ4_XS | engine | llama.cpp version: 3496| llama.cpp version: 3334| llama.cpp version: 3325| llama.cpp version: 3266| llama.cpp version: 3389| llama.cpp version: 3496| llama.cpp version: 3334| llama.cpp version: 3985 | llama.cpp version: 3985 | llama.cpp version: 3496| llama.cpp version: 3266 | textsynth ts_server version 2024-09-30| llama.cpp version: 3707 | llama.cpp version: 3731 | llama.cpp version: 3428 | llama.cpp version: 3825| llama.cpp version: 3927 | llama.cpp version: 3262 | llama.cpp version: 3428 | llama.cpp version: 3262| llama.cpp version: 3262 | llama.cpp version: 3520| llama.cpp version: 3565 | llama.cpp version: 3520 | llama.cpp version: 3609 | llama.cpp version: 3600 | llama.cpp version: 3505 | llama.cpp version: 3609| textsynth ts_server version 2024-09-30| llama.cpp version: 4038 | llama.cpp version: 4038 | llama.cpp version: 3943 | llama.cpp version: 3870 | llama.cpp version: 3821 | llama.cpp version: 3821| llama.cpp version: 3235 | llama.cpp version: 3790 | ---------------------------------------------|---------------|---------------|---------------|---------------|----------------|---------------|---------------|-------------------------|-------------------------|---------------------|--------------------------|----------------------------|----------------------------|----------------------------|----------------------------|-----------------------|----------------------------|--------------------------|--------------------------------|-------------------|--------------------------|------------------------|--------------------------|--------------------------|--------------------------|----------------------------|----------------------------|-------------------|-------------------|-------------------------|-------------------------|-------------------------|-------------------------|--------------------------|----------------------|---------------------------|----------------------------| WG | 0.701 | 0.756 | 0.761 | 0.762 | 0.772 | 0.759 | 0.753 | 0.679 | 0.719 | 0.822 | 0.707 | 0.740 | 0.750 | 0.745 | 0.741 | 0.685 | 0.748 | 0.751 | 0.770 | 0.783 | 0.760 | 0.737 | 0.728 | 0.727 | 0.744 | 0.734 | 0.744 | 0.705 | 0.681 | 0.687 | 0.695 | 0.709 | 0.709 | 0.754 | 0.746 | 0.759 | 0.779 | LAMBADA | 0.624 | 0.733 | 0.732 | 0.735 | 0.755 | 0.786 | 0.783 | 0.746 | 0.799 | 0.732 | 0.710 | 0.729 | 0.740 | 0.738 | 0.747 | 0.705 | 0.776 | 0.766 | 0.714 | 0.744 | 0.733 | 0.613 | 0.638 | 0.618 | 0.677 | 0.613 | 0.632 | 0.735 | 0.564 | 0.685 | 0.682 | 0.722 | 0.724 | 0.769 | 0.781 | 0.654 | 0.708 | HELLASWAG | 0.496 | 0.766 | 0.798 | 0.775 | 0.810 | 0.834 | 0.840 | 0.583 | 0.696 | 0.916 | 0.667 | 0.739 | 0.684 | 0.696 | 0.696 | 0.559 | 0.835 | 0.591 | 0.726 | 0.800 | 0.824 | 0.738 | 0.695 | 0.743 | 0.716 | 0.669 | 0.807 | 0.755 | 0.765 | 0.670 | 0.713 | 0.820 | 0.822 | 0.863 | 0.894 | 0.826 | 0.823 | BOOLQ | 0.542 | 0.684 | 0.701 | 0.687 | 0.739 | 0.633 | 0.625 | 0.540 | 0.594 | 0.572 | 0.609 | 0.621 | 0.587 | 0.576 | 0.610 | 0.478 | 0.574 | 0.658 | 0.677 | 0.719 | 0.677 | 0.577 | 0.562 | 0.540 | 0.562 | 0.573 | 0.635 | 0.633 | 0.575 | 0.517 | 0.533 | 0.617 | 0.623 | 0.647 | 0.701 | 0.651 | 0.665 | STORYCLOZE | 0.877 | 0.948 | 0.959 | 0.958 | 0.973 | 0.967 | 0.976 | 0.925 | 0.924 | 0.996 | 0.930 | 0.685 | 0.884 | 0.859 | 0.895 | 0.870 | 0.937 | 0.917 | 0.921 | 0.982 | 0.980 | 0.907 | 0.906 | 0.891 | 0.531 | 0.921 | 0.969 | 0.959 | 0.964 | 0.913 | 0.896 | 0.920 | 0.915 | 0.938 | 0.981 | 0.973 | 0.949 | CSQA | 0.631 | 0.741 | 0.751 | 0.751 | 0.763 | 0.727 | 0.733 | 0.615 | 0.692 | 0.760 | 0.639 | 0.732 | 0.698 | 0.678 | 0.686 | 0.642 | 0.669 | 0.627 | 0.664 | 0.796 | 0.875 | 0.679 | 0.656 | 0.675 | 0.669 | 0.660 | 0.751 | 0.728 | 0.726 | 0.701 | 0.717 | 0.768 | 0.781 | 0.795 | 0.823 | 0.714 | 0.726 | OBQA | 0.647 | 0.841 | 0.846 | 0.846 | 0.860 | 0.821 | 0.802 | 0.605 | 0.714 | 0.818 | 0.685 | 0.787 | 0.738 | 0.753 | 0.765 | 0.709 | 0.769 | 0.676 | 0.730 | 0.834 | 0.803 | 0.773 | 0.750 | 0.761 | 0.751 | 0.720 | 0.830 | 0.800 | 0.771 | 0.700 | 0.731 | 0.802 | 0.804 | 0.863 | 0.904 | 0.794 | 0.812 | COPA | 0.823 | 0.923 | 0.926 | 0.925 | 0.949 | 0.955 | 0.944 | 0.806 | 0.844 | 0.927 | 0.886 | 0.908 | 0.878 | 0.859 | 0.889 | 0.749 | 0.887 | 0.812 | 0.859 | 0.967 | 0.947 | 0.890 | 0.898 | 0.884 | 0.884 | 0.870 | 0.924 | 0.923 | 0.912 | 0.841 | 0.858 | 0.925 | 0.919 | 0.935 | 0.958 | 0.910 | 0.940 | PIQA | 0.591 | 0.799 | 0.803 | 0.801 | 0.841 | 0.773 | 0.779 | 0.497 | 0.712 | 0.787 | 0.681 | 0.819 | 0.707 | 0.716 | 0.725 | 0.637 | 0.694 | 0.708 | 0.777 | 0.794 | 0.771 | 0.761 | 0.745 | 0.741 | 0.733 | 0.677 | 0.827 | 0.784 | 0.778 | 0.695 | 0.713 | 0.794 | 0.807 | 0.848 | 0.870 | 0.799 | 0.803 | SIQA | 0.597 | 0.691 | 0.694 | 0.693 | 0.731 | 0.664 | 0.665 | 0.627 | 0.678 | 0.735 | 0.624 | 0.712 | 0.634 | 0.643 | 0.648 | 0.622 | 0.684 | 0.620 | 0.655 | 0.730 | 0.726 | 0.675 | 0.662 | 0.675 | 0.667 | 0.661 | 0.729 | 0.699 | 0.696 | 0.656 | 0.663 | 0.721 | 0.712 | 0.746 | 0.742 | 0.727 | 0.716 | MEDQA | 0.286 | 0.492 | 0.498 | 0.501 | 0.549 | 0.436 | 0.445 | 0.242 | 0.336 | 0.389 | 0.486 | 0.556 | 0.491 | 0.482 | 0.500 | 0.413 | 0.399 | 0.334 | 0.465 | 0.372 | 0.427 | 0.457 | 0.421 | 0.446 | 0.423 | 0.395 | 0.553 | 0.391 | 0.380 | 0.344 | 0.363 | 0.453 | 0.458 | 0.542 | 0.610 | 0.368 | 0.538 | JEOPARDY | 0.220 | 0.510 | 0.570 | 0.550 | 0.740 | 0.370 | 0.420 | 0.230 | 0.470 | 0.300 | 0.370 | 0.450 | 0.500 | 0.390 | 0.510 | 0.350 | 0.330 | 0.490 | 0.470 | 0.450 | 0.510 | 0.300 | 0.220 | 0.250 | 0.320 | 0.250 | 0.460 | 0.200 | 0.250 | 0.120 | 0.120 | 0.300 | 0.290 | 0.540 | 0.600 | 0.480 | 0.480 | GSM8K | 0.645 | 0.878 | 0.881 | 0.890 | 0.899 | 0.855 | 0.839 | 0.712 | 0.811 | 0.855 | 0.817 | 0.851 | 0.859 | 0.859 | 0.872 | 0.822 | 0.887 | 0.611 | 0.828 | 0.775 | 0.811 | 0.870 | 0.706 | 0.833 | 0.855 | 0.714 | 0.667 | 0.871 | 0.535 | 0.829 | 0.856 | 0.909 | 0.917 | 0.938 | 0.950 | 0.730 | 0.812 | HUMANEVAL | 0.408 | 0.646 | 0.621 | 0.658 | 0.743 | 0.737 | 0.731 | 0.469 | 0.621 | 0.317 | 0.591 | 0.652 | 0.634 | 0.628 | 0.652 | 0.585 | 0.768 | 0.390 | 0.689 | 0.310 | 0.689 | 0.707 | 0.628 | 0.652 | 0.682 | 0.621 | 0.268 | 0.719 | 0.567 | 0.695 | 0.780 | 0.798 | 0.817 | 0.804 | 0.884 | 0.402 | 0.506 | HUMANEVALP | 0.310 | 0.548 | 0.530 | 0.548 | 0.615 | 0.615 | 0.634 | 0.402 | 0.536 | 0.250 | 0.335 | 0.524 | 0.518 | 0.524 | 0.536 | 0.475 | 0.628 | 0.329 | 0.554 | 0.304 | 0.579 | 0.603 | 0.524 | 0.567 | 0.591 | 0.524 | 0.219 | 0.609 | 0.475 | 0.615 | 0.682 | 0.670 | 0.658 | 0.676 | 0.768 | 0.286 | 0.432 | MBPP | 0.459 | 0.591 | 0.595 | 0.595 | 0.642 | 0.579 | 0.591 | 0.470 | 0.548 | 0.521 | 0.050 | 0.544 | 0.575 | 0.583 | 0.564 | 0.498 | 0.626 | 0.451 | 0.513 | 0.470 | 0.326 | 0.536 | 0.482 | 0.451 | 0.610 | 0.498 | 0.412 | 0.587 | 0.501 | 0.595 | 0.599 | 0.669 | 0.661 | 0.669 | 0.684 | 0.373 | 0.330 | MBPPP | 0.441 | 0.575 | 0.575 | 0.584 | 0.638 | 0.562 | 0.575 | 0.433 | 0.517 | 0.477 | 0.049 | 0.526 | 0.526 | 0.535 | 0.540 | 0.482 | 0.580 | 0.397 | 0.428 | 0.410 | 0.151 | 0.482 | 0.459 | 0.450 | 0.575 | 0.477 | 0.401 | 0.580 | 0.495 | 0.540 | 0.584 | 0.633 | 0.651 | 0.633 | 0.700 | 0.366 | 0.321 | HUMANEVALX_cpp | 0.152 | 0.500 | 0.500 | 0.512 | 0.579 | 0.439 | 0.432 | 0.231 | 0.347 | 0.231 | 0.317 | 0.256 | 0.420 | 0.445 | 0.457 | 0.323 | 0.573 | 0.225 | 0.292 | 0.347 | 0.060 | 0.262 | 0.243 | 0.243 | 0.280 | 0.219 | 0 | 0.542 | 0.384 | 0.420 | 0.237 | 0.475 | 0.554 | 0.323 | 0.701 | 0.237 | 0.219 | HUMANEVALX_java | 0.390 | 0.628 | 0.640 | 0.640 | 0.768 | 0.207 | 0.628 | 0.353 | 0.365 | 0.170 | 0.079 | 0.036 | 0.396 | 0.097 | 0.487 | 0.439 | 0.731 | 0.256 | 0.201 | 0.170 | 0.073 | 0.493 | 0.030 | 0.024 | 0.079 | 0.060 | 0 | 0.628 | 0.365 | 0.640 | 0.615 | 0.695 | 0.737 | 0.780 | 0.865 | 0.347 | 0 | HUMANEVALX_js | 0.353 | 0.548 | 0.567 | 0.579 | 0.743 | 0.628 | 0.628 | 0.426 | 0.560 | 0.518 | 0.079 | 0.548 | 0.542 | 0.548 | 0.560 | 0.067 | 0.701 | 0.402 | 0.615 | 0.170 | 0.018 | 0.567 | 0.378 | 0.524 | 0.560 | 0.451 | 0.219 | 0.731 | 0.560 | 0.646 | 0.689 | 0.719 | 0.750 | 0.798 | 0.847 | 0.048 | 0.359 | HUMANEVALX | 0.298 | 0.558 | 0.569 | 0.577 | 0.697 | 0.424 | 0.563 | 0.337 | 0.424 | 0.306 | 0.158 | 0.280 | 0.453 | 0.363 | 0.502 | 0.276 | 0.668 | 0.294 | 0.369 | 0.229 | 0.050 | 0.441 | 0.217 | 0.264 | 0.306 | 0.243 | 0.073 | 0.634 | 0.436 | 0.569 | 0.514 | 0.630 | 0.680 | 0.634 | 0.804 | 0.211 | 0.193 | CRUXEVAL_input | 0.321 | 0.455 | 0.443 | 0.462 | 0.485 | 0.416 | 0.406 | 0.288 | 0.317 | 0.367 | 0.340 | 0.405 | 0.408 | 0.440 | 0.435 | 0.353 | 0.428 | 0.276 | 0.442 | 0.323 | 0.383 | 0.372 | 0.375 | 0.390 | 0.398 | 0.388 | 0.456 | 0.351 | 0.298 | 0.350 | 0.331 | 0.387 | 0.412 | 0.541 | 0.517 | 0.131 | 0.438 | CRUXEVAL_output | 0.280 | 0.373 | 0.372 | 0.375 | 0.482 | 0.356 | 0.338 | 0.282 | 0.351 | 0.276 | 0.318 | 0.352 | 0.341 | 0.356 | 0.360 | 0.291 | 0.377 | 0.303 | 0.365 | 0.318 | 0.323 | 0.340 | 0.321 | 0.340 | 0.342 | 0.296 | 0.423 | 0.050 | 0.175 | 0.275 | 0.311 | 0.382 | 0.386 | 0.471 | 0.455 | 0.222 | 0.388 | CRUXEVAL | 0.300 | 0.414 | 0.408 | 0.418 | 0.483 | 0.386 | 0.372 | 0.285 | 0.334 | 0.321 | 0.329 | 0.378 | 0.375 | 0.398 | 0.397 | 0.322 | 0.403 | 0.290 | 0.403 | 0.321 | 0.353 | 0.356 | 0.348 | 0.365 | 0.370 | 0.342 | 0.440 | 0.200 | 0.236 | 0.312 | 0.321 | 0.385 | 0.399 | 0.506 | 0.486 | 0.176 | 0.413 | TQA_mc | 0.356 | 0.679 | 0.696 | 0.701 | 0.767 | 0.636 | 0.640 | 0.402 | 0.559 | 0.648 | 0.507 | 0.629 | 0.626 | 0.630 | 0.564 | 0.555 | 0.561 | 0.549 | 0.542 | 0.624 | 0.547 | 0.653 | 0.631 | 0.643 | 0.621 | 0.581 | 0.742 | 0.503 | 0.532 | 0.516 | 0.548 | 0.654 | 0.657 | 0.747 | 0.804 | 0.563 | 0.709 | TQA_tf | 0.510 | 0.675 | 0.719 | 0.692 | 0.725 | 0.484 | 0.457 | 0.421 | 0.473 | 0.593 | 0.504 | 0.643 | 0.552 | 0.563 | 0.512 | 0.566 | 0.572 | 0.548 | 0.479 | 0.548 | 0.536 | 0.578 | 0.532 | 0.541 | 0.483 | 0.487 | 0.670 | 0.435 | 0.602 | 0.414 | 0.300 | 0.574 | 0.568 | 0.706 | 0.731 | 0.487 | 0.485 | TQA | 0.492 | 0.675 | 0.716 | 0.693 | 0.730 | 0.502 | 0.478 | 0.419 | 0.483 | 0.599 | 0.505 | 0.641 | 0.560 | 0.571 | 0.518 | 0.565 | 0.571 | 0.548 | 0.486 | 0.556 | 0.537 | 0.587 | 0.544 | 0.553 | 0.499 | 0.498 | 0.679 | 0.442 | 0.594 | 0.426 | 0.329 | 0.583 | 0.578 | 0.711 | 0.740 | 0.496 | 0.511 | ARC_challenge | 0.671 | 0.874 | 0.881 | 0.882 | 0.897 | 0.835 | 0.853 | 0.614 | 0.742 | 0.812 | 0.732 | 0.794 | 0.769 | 0.766 | 0.776 | 0.706 | 0.775 | 0.688 | 0.773 | 0.797 | 0.819 | 0.838 | 0.808 | 0.833 | 0.813 | 0.802 | 0.888 | 0.818 | 0.796 | 0.750 | 0.777 | 0.843 | 0.851 | 0.911 | 0.934 | 0.755 | 0.871 | ARC_easy | 0.846 | 0.949 | 0.950 | 0.952 | 0.963 | 0.933 | 0.940 | 0.808 | 0.893 | 0.936 | 0.883 | 0.914 | 0.898 | 0.904 | 0.906 | 0.843 | 0.910 | 0.843 | 0.908 | 0.910 | 0.914 | 0.943 | 0.926 | 0.935 | 0.934 | 0.932 | 0.965 | 0.923 | 0.918 | 0.895 | 0.904 | 0.945 | 0.946 | 0.969 | 0.978 | 0.899 | 0.962 | ARC | 0.788 | 0.925 | 0.927 | 0.929 | 0.941 | 0.901 | 0.911 | 0.744 | 0.843 | 0.895 | 0.833 | 0.874 | 0.855 | 0.858 | 0.863 | 0.798 | 0.866 | 0.792 | 0.864 | 0.873 | 0.883 | 0.908 | 0.887 | 0.901 | 0.894 | 0.889 | 0.939 | 0.888 | 0.878 | 0.847 | 0.862 | 0.911 | 0.915 | 0.950 | 0.963 | 0.851 | 0.932 | RACE_high | 0.580 | 0.817 | 0.817 | 0.802 | 0.833 | 0.788 | 0.787 | 0.553 | 0.642 | 0.826 | 0.641 | 0.756 | 0.679 | 0.676 | 0.679 | 0.589 | 0.736 | 0.607 | 0.726 | 0.771 | 0.773 | 0.696 | 0.625 | 0.648 | 0.613 | 0.625 | 0.779 | 0.779 | 0.762 | 0.698 | 0.712 | 0.779 | 0.788 | 0.852 | 0.882 | 0.741 | 0.764 | RACE_middle | 0.610 | 0.860 | 0.860 | 0.849 | 0.883 | 0.816 | 0.825 | 0.631 | 0.735 | 0.863 | 0.708 | 0.817 | 0.747 | 0.744 | 0.734 | 0.680 | 0.800 | 0.696 | 0.782 | 0.807 | 0.834 | 0.750 | 0.697 | 0.722 | 0.706 | 0.692 | 0.832 | 0.827 | 0.811 | 0.775 | 0.776 | 0.841 | 0.853 | 0.887 | 0.923 | 0.809 | 0.824 | RACE | 0.589 | 0.830 | 0.829 | 0.816 | 0.847 | 0.796 | 0.798 | 0.576 | 0.669 | 0.837 | 0.660 | 0.774 | 0.699 | 0.696 | 0.695 | 0.615 | 0.755 | 0.633 | 0.743 | 0.781 | 0.791 | 0.712 | 0.646 | 0.670 | 0.640 | 0.645 | 0.795 | 0.793 | 0.776 | 0.720 | 0.730 | 0.797 | 0.807 | 0.862 | 0.894 | 0.761 | 0.781 | MMLU abstract_algebra | 0.140 | 0.320 | 0.320 | 0.330 | 0.310 | 0.220 | 0.210 | 0.170 | 0.200 | 0.230 | 0.140 | 0.390 | 0.210 | 0.140 | 0.200 | 0.270 | 0.210 | 0.190 | 0.330 | 0.220 | 0.170 | 0.340 | 0.330 | 0.250 | 0.300 | 0.210 | 0.390 | 0.480 | 0.370 | 0.240 | 0.250 | 0.440 | 0.430 | 0.570 | 0.600 | 0.140 | 0.340 | anatomy | 0.414 | 0.604 | 0.611 | 0.626 | 0.607 | 0.503 | 0.511 | 0.362 | 0.474 | 0.614 | 0.544 | 0.688 | 0.540 | 0.511 | 0.555 | 0.540 | 0.540 | 0.447 | 0.555 | 0.552 | 0.537 | 0.562 | 0.540 | 0.577 | 0.570 | 0.585 | 0.666 | 0.488 | 0.488 | 0.525 | 0.562 | 0.622 | 0.622 | 0.644 | 0.733 | 0.477 | 0.607 | astronomy | 0.467 | 0.753 | 0.740 | 0.760 | 0.828 | 0.644 | 0.651 | 0.519 | 0.651 | 0.723 | 0.640 | 0.723 | 0.651 | 0.657 | 0.677 | 0.565 | 0.671 | 0.573 | 0.651 | 0.620 | 0.646 | 0.710 | 0.684 | 0.677 | 0.703 | 0.703 | 0.796 | 0.723 | 0.651 | 0.618 | 0.657 | 0.763 | 0.769 | 0.868 | 0.875 | 0.586 | 0.756 | business_ethics | 0.430 | 0.620 | 0.630 | 0.620 | 0.670 | 0.570 | 0.610 | 0.460 | 0.490 | 0.640 | 0.510 | 0.640 | 0.540 | 0.520 | 0.550 | 0.480 | 0.540 | 0.520 | 0.630 | 0.540 | 0.530 | 0.620 | 0.570 | 0.620 | 0.620 | 0.620 | 0.710 | 0.670 | 0.620 | 0.630 | 0.590 | 0.680 | 0.710 | 0.750 | 0.800 | 0.570 | 0.740 | clinical_knowledge | 0.550 | 0.724 | 0.743 | 0.743 | 0.788 | 0.618 | 0.622 | 0.490 | 0.584 | 0.716 | 0.690 | 0.750 | 0.656 | 0.698 | 0.675 | 0.592 | 0.664 | 0.581 | 0.664 | 0.637 | 0.649 | 0.716 | 0.709 | 0.686 | 0.713 | 0.698 | 0.750 | 0.686 | 0.671 | 0.633 | 0.645 | 0.709 | 0.713 | 0.803 | 0.815 | 0.577 | 0.735 | college_biology | 0.625 | 0.847 | 0.833 | 0.854 | 0.895 | 0.687 | 0.715 | 0.486 | 0.659 | 0.701 | 0.652 | 0.777 | 0.722 | 0.687 | 0.722 | 0.625 | 0.708 | 0.625 | 0.694 | 0.631 | 0.659 | 0.812 | 0.756 | 0.791 | 0.805 | 0.763 | 0.819 | 0.743 | 0.701 | 0.694 | 0.694 | 0.784 | 0.784 | 0.854 | 0.923 | 0.618 | 0.833 | college_chemistry | 0.330 | 0.440 | 0.450 | 0.470 | 0.430 | 0.380 | 0.380 | 0.340 | 0.350 | 0.410 | 0.380 | 0.490 | 0.390 | 0.390 | 0.400 | 0.310 | 0.370 | 0.350 | 0.340 | 0.380 | 0.400 | 0.440 | 0.450 | 0.450 | 0.460 | 0.430 | 0.440 | 0.380 | 0.340 | 0.310 | 0.370 | 0.480 | 0.490 | 0.460 | 0.530 | 0.330 | 0.450 | college_computer_science | 0.290 | 0.480 | 0.460 | 0.460 | 0.580 | 0.470 | 0.480 | 0.250 | 0.400 | 0.490 | 0.340 | 0.500 | 0.380 | 0.340 | 0.400 | 0.350 | 0.410 | 0.320 | 0.400 | 0.440 | 0.400 | 0.480 | 0.470 | 0.440 | 0.480 | 0.410 | 0.510 | 0.520 | 0.460 | 0.390 | 0.460 | 0.620 | 0.590 | 0.630 | 0.720 | 0.370 | 0.480 | college_mathematics | 0.100 | 0.290 | 0.270 | 0.260 | 0.300 | 0.240 | 0.280 | 0.120 | 0.180 | 0.230 | 0.200 | 0.330 | 0.220 | 0.200 | 0.260 | 0.210 | 0.180 | 0.180 | 0.180 | 0.200 | 0.200 | 0.300 | 0.270 | 0.200 | 0.270 | 0.170 | 0.340 | 0.260 | 0.280 | 0.200 | 0.180 | 0.380 | 0.350 | 0.490 | 0.540 | 0.170 | 0.310 | college_medicine | 0.491 | 0.635 | 0.641 | 0.658 | 0.716 | 0.572 | 0.589 | 0.439 | 0.520 | 0.606 | 0.543 | 0.664 | 0.612 | 0.624 | 0.589 | 0.491 | 0.543 | 0.456 | 0.572 | 0.566 | 0.543 | 0.618 | 0.572 | 0.572 | 0.612 | 0.566 | 0.682 | 0.589 | 0.549 | 0.560 | 0.606 | 0.606 | 0.624 | 0.710 | 0.739 | 0.485 | 0.653 | college_physics | 0.235 | 0.401 | 0.382 | 0.352 | 0.421 | 0.313 | 0.323 | 0.215 | 0.225 | 0.362 | 0.313 | 0.450 | 0.313 | 0.294 | 0.313 | 0.303 | 0.264 | 0.254 | 0.245 | 0.205 | 0.303 | 0.362 | 0.392 | 0.352 | 0.333 | 0.294 | 0.372 | 0.343 | 0.333 | 0.382 | 0.392 | 0.401 | 0.372 | 0.519 | 0.656 | 0.245 | 0.382 | computer_security | 0.580 | 0.710 | 0.740 | 0.730 | 0.710 | 0.710 | 0.730 | 0.630 | 0.690 | 0.690 | 0.680 | 0.770 | 0.700 | 0.690 | 0.690 | 0.620 | 0.640 | 0.600 | 0.680 | 0.670 | 0.660 | 0.700 | 0.690 | 0.680 | 0.700 | 0.650 | 0.700 | 0.650 | 0.670 | 0.650 | 0.690 | 0.720 | 0.710 | 0.730 | 0.800 | 0.610 | 0.700 | conceptual_physics | 0.395 | 0.608 | 0.629 | 0.638 | 0.727 | 0.561 | 0.587 | 0.353 | 0.463 | 0.612 | 0.404 | 0.570 | 0.455 | 0.476 | 0.463 | 0.361 | 0.404 | 0.365 | 0.446 | 0.468 | 0.472 | 0.604 | 0.519 | 0.565 | 0.565 | 0.553 | 0.685 | 0.561 | 0.557 | 0.485 | 0.519 | 0.642 | 0.642 | 0.800 | 0.834 | 0.442 | 0.693 | econometrics | 0.271 | 0.566 | 0.566 | 0.557 | 0.587 | 0.456 | 0.464 | 0.228 | 0.377 | 0.482 | 0.371 | 0.552 | 0.447 | 0.438 | 0.482 | 0.359 | 0.333 | 0.318 | 0.429 | 0.362 | 0.424 | 0.535 | 0.473 | 0.456 | 0.456 | 0.421 | 0.543 | 0.535 | 0.508 | 0.421 | 0.438 | 0.605 | 0.596 | 0.649 | 0.675 | 0.345 | 0.526 | electrical_engineering | 0.462 | 0.558 | 0.558 | 0.558 | 0.593 | 0.544 | 0.572 | 0.358 | 0.427 | 0.544 | 0.468 | 0.641 | 0.558 | 0.496 | 0.524 | 0.462 | 0.455 | 0.393 | 0.482 | 0.468 | 0.510 | 0.510 | 0.544 | 0.468 | 0.496 | 0.475 | 0.565 | 0.606 | 0.524 | 0.441 | 0.434 | 0.606 | 0.606 | 0.648 | 0.703 | 0.324 | 0.586 | elementary_mathematics | 0.261 | 0.484 | 0.470 | 0.476 | 0.476 | 0.367 | 0.373 | 0.171 | 0.277 | 0.529 | 0.296 | 0.481 | 0.333 | 0.312 | 0.357 | 0.280 | 0.309 | 0.222 | 0.312 | 0.283 | 0.304 | 0.428 | 0.412 | 0.373 | 0.423 | 0.388 | 0.537 | 0.481 | 0.497 | 0.407 | 0.417 | 0.560 | 0.568 | 0.791 | 0.838 | 0.304 | 0.455 | formal_logic | 0.214 | 0.412 | 0.420 | 0.293 | 0.468 | 0.325 | 0.357 | 0.230 | 0.333 | 0.396 | 0.261 | 0.460 | 0.373 | 0.357 | 0.420 | 0.253 | 0.349 | 0.277 | 0.396 | 0.261 | 0.261 | 0.444 | 0.420 | 0.412 | 0.452 | 0.380 | 0.523 | 0.420 | 0.404 | 0.325 | 0.341 | 0.452 | 0.428 | 0.539 | 0.626 | 0.190 | 0.484 | global_facts | 0.100 | 0.330 | 0.320 | 0.330 | 0.370 | 0.200 | 0.240 | 0.120 | 0.230 | 0.390 | 0.140 | 0.360 | 0.160 | 0.150 | 0.150 | 0.110 | 0.200 | 0.160 | 0.280 | 0.160 | 0.210 | 0.210 | 0.190 | 0.220 | 0.240 | 0.130 | 0.360 | 0.300 | 0.180 | 0.140 | 0.200 | 0.260 | 0.260 | 0.470 | 0.430 | 0.220 | 0.240 | high_school_biology | 0.651 | 0.845 | 0.845 | 0.851 | 0.890 | 0.800 | 0.809 | 0.577 | 0.696 | 0.790 | 0.680 | 0.812 | 0.732 | 0.738 | 0.729 | 0.677 | 0.741 | 0.654 | 0.748 | 0.677 | 0.706 | 0.809 | 0.770 | 0.774 | 0.793 | 0.774 | 0.861 | 0.761 | 0.745 | 0.722 | 0.754 | 0.803 | 0.806 | 0.845 | 0.896 | 0.670 | 0.858 | high_school_chemistry | 0.315 | 0.571 | 0.561 | 0.586 | 0.600 | 0.546 | 0.517 | 0.295 | 0.413 | 0.522 | 0.438 | 0.635 | 0.453 | 0.458 | 0.467 | 0.433 | 0.389 | 0.310 | 0.379 | 0.384 | 0.428 | 0.522 | 0.536 | 0.482 | 0.512 | 0.492 | 0.551 | 0.467 | 0.448 | 0.413 | 0.463 | 0.532 | 0.536 | 0.596 | 0.724 | 0.315 | 0.581 | high_school_computer_science | 0.440 | 0.690 | 0.720 | 0.710 | 0.770 | 0.660 | 0.660 | 0.500 | 0.630 | 0.700 | 0.620 | 0.670 | 0.610 | 0.590 | 0.610 | 0.540 | 0.610 | 0.490 | 0.630 | 0.580 | 0.560 | 0.680 | 0.620 | 0.610 | 0.610 | 0.580 | 0.690 | 0.710 | 0.610 | 0.600 | 0.660 | 0.770 | 0.770 | 0.830 | 0.870 | 0.560 | 0.720 | high_school_european_history | 0.672 | 0.800 | 0.800 | 0.806 | 0.830 | 0.812 | 0.830 | 0.624 | 0.745 | 0.751 | 0.703 | 0.642 | 0.690 | 0.696 | 0.709 | 0.672 | 0.696 | 0.678 | 0.709 | 0.733 | 0.733 | 0.751 | 0.715 | 0.690 | 0.727 | 0.672 | 0.806 | 0.751 | 0.715 | 0.733 | 0.733 | 0.787 | 0.800 | 0.824 | 0.818 | 0.745 | 0.787 | high_school_geography | 0.676 | 0.863 | 0.868 | 0.878 | 0.888 | 0.792 | 0.818 | 0.555 | 0.732 | 0.843 | 0.727 | 0.797 | 0.772 | 0.747 | 0.757 | 0.671 | 0.727 | 0.671 | 0.752 | 0.727 | 0.732 | 0.813 | 0.787 | 0.747 | 0.792 | 0.737 | 0.843 | 0.797 | 0.787 | 0.712 | 0.732 | 0.833 | 0.833 | 0.868 | 0.883 | 0.717 | 0.843 | high_school_government_and_politics | 0.730 | 0.921 | 0.926 | 0.926 | 0.963 | 0.875 | 0.870 | 0.709 | 0.823 | 0.865 | 0.821 | 0.834 | 0.808 | 0.792 | 0.818 | 0.725 | 0.849 | 0.805 | 0.875 | 0.863 | 0.836 | 0.896 | 0.823 | 0.875 | 0.849 | 0.834 | 0.937 | 0.865 | 0.839 | 0.772 | 0.797 | 0.917 | 0.917 | 0.958 | 0.968 | 0.805 | 0.917 | high_school_macroeconomics | 0.487 | 0.704 | 0.706 | 0.717 | 0.758 | 0.651 | 0.653 | 0.415 | 0.520 | 0.633 | 0.498 | 0.656 | 0.558 | 0.535 | 0.556 | 0.497 | 0.525 | 0.478 | 0.528 | 0.532 | 0.521 | 0.682 | 0.661 | 0.635 | 0.646 | 0.635 | 0.756 | 0.687 | 0.643 | 0.564 | 0.592 | 0.684 | 0.684 | 0.802 | 0.825 | 0.496 | 0.710 | high_school_mathematics | 0.200 | 0.307 | 0.325 | 0.277 | 0.325 | 0.237 | 0.240 | 0.159 | 0.177 | 0.348 | 0.162 | 0.455 | 0.244 | 0.225 | 0.255 | 0.233 | 0.270 | 0.162 | 0.162 | 0.237 | 0.203 | 0.259 | 0.244 | 0.203 | 0.214 | 0.203 | 0.281 | 0.351 | 0.414 | 0.270 | 0.244 | 0.440 | 0.422 | 0.500 | 0.537 | 0.174 | 0.266 | high_school_microeconomics | 0.521 | 0.780 | 0.772 | 0.801 | 0.852 | 0.760 | 0.773 | 0.462 | 0.634 | 0.714 | 0.654 | 0.756 | 0.647 | 0.630 | 0.684 | 0.575 | 0.609 | 0.540 | 0.630 | 0.603 | 0.654 | 0.798 | 0.789 | 0.773 | 0.794 | 0.743 | 0.886 | 0.802 | 0.773 | 0.672 | 0.697 | 0.827 | 0.827 | 0.857 | 0.907 | 0.594 | 0.848 | high_school_physics | 0.218 | 0.463 | 0.463 | 0.423 | 0.496 | 0.344 | 0.364 | 0.145 | 0.225 | 0.337 | 0.211 | 0.456 | 0.298 | 0.337 | 0.317 | 0.211 | 0.284 | 0.165 | 0.251 | 0.245 | 0.331 | 0.423 | 0.384 | 0.384 | 0.377 | 0.384 | 0.463 | 0.298 | 0.344 | 0.317 | 0.311 | 0.470 | 0.456 | 0.635 | 0.695 | 0.192 | 0.456 | high_school_psychology | 0.761 | 0.895 | 0.889 | 0.896 | 0.910 | 0.840 | 0.858 | 0.669 | 0.785 | 0.838 | 0.771 | 0.864 | 0.840 | 0.831 | 0.834 | 0.761 | 0.809 | 0.764 | 0.814 | 0.817 | 0.797 | 0.858 | 0.838 | 0.823 | 0.855 | 0.844 | 0.884 | 0.827 | 0.807 | 0.803 | 0.796 | 0.858 | 0.856 | 0.882 | 0.902 | 0.779 | 0.880 | high_school_statistics | 0.347 | 0.592 | 0.601 | 0.574 | 0.615 | 0.509 | 0.500 | 0.319 | 0.393 | 0.490 | 0.393 | 0.569 | 0.458 | 0.435 | 0.462 | 0.342 | 0.467 | 0.361 | 0.476 | 0.402 | 0.421 | 0.550 | 0.504 | 0.472 | 0.569 | 0.523 | 0.615 | 0.550 | 0.583 | 0.481 | 0.518 | 0.615 | 0.648 | 0.717 | 0.782 | 0.407 | 0.555 | high_school_us_history | 0.656 | 0.829 | 0.829 | 0.829 | 0.867 | 0.833 | 0.867 | 0.602 | 0.740 | 0.759 | 0.709 | 0.710 | 0.764 | 0.759 | 0.784 | 0.696 | 0.823 | 0.699 | 0.799 | 0.782 | 0.792 | 0.794 | 0.754 | 0.764 | 0.759 | 0.735 | 0.833 | 0.803 | 0.779 | 0.715 | 0.759 | 0.843 | 0.852 | 0.882 | 0.906 | 0.803 | 0.857 | high_school_world_history | 0.700 | 0.881 | 0.864 | 0.872 | 0.881 | 0.810 | 0.827 | 0.637 | 0.763 | 0.780 | 0.745 | 0.746 | 0.805 | 0.784 | 0.789 | 0.725 | 0.776 | 0.720 | 0.797 | 0.750 | 0.826 | 0.759 | 0.759 | 0.729 | 0.746 | 0.742 | 0.835 | 0.805 | 0.784 | 0.776 | 0.793 | 0.818 | 0.827 | 0.869 | 0.877 | 0.783 | 0.848 | human_aging | 0.497 | 0.681 | 0.690 | 0.690 | 0.739 | 0.582 | 0.591 | 0.506 | 0.560 | 0.650 | 0.614 | 0.690 | 0.569 | 0.600 | 0.618 | 0.569 | 0.605 | 0.542 | 0.609 | 0.632 | 0.623 | 0.587 | 0.565 | 0.596 | 0.582 | 0.547 | 0.672 | 0.609 | 0.587 | 0.569 | 0.587 | 0.681 | 0.690 | 0.717 | 0.771 | 0.587 | 0.695 | human_sexuality | 0.519 | 0.761 | 0.730 | 0.746 | 0.755 | 0.648 | 0.633 | 0.549 | 0.702 | 0.702 | 0.638 | 0.793 | 0.671 | 0.702 | 0.671 | 0.587 | 0.679 | 0.569 | 0.618 | 0.615 | 0.646 | 0.671 | 0.648 | 0.618 | 0.664 | 0.587 | 0.748 | 0.648 | 0.664 | 0.625 | 0.625 | 0.740 | 0.717 | 0.786 | 0.839 | 0.584 | 0.770 | international_law | 0.644 | 0.785 | 0.785 | 0.801 | 0.760 | 0.735 | 0.752 | 0.628 | 0.694 | 0.785 | 0.760 | 0.826 | 0.752 | 0.727 | 0.776 | 0.710 | 0.752 | 0.710 | 0.694 | 0.768 | 0.743 | 0.768 | 0.735 | 0.694 | 0.735 | 0.727 | 0.826 | 0.776 | 0.768 | 0.710 | 0.685 | 0.768 | 0.785 | 0.834 | 0.867 | 0.685 | 0.859 | jurisprudence | 0.611 | 0.794 | 0.794 | 0.785 | 0.833 | 0.675 | 0.722 | 0.638 | 0.675 | 0.712 | 0.672 | 0.796 | 0.694 | 0.740 | 0.731 | 0.574 | 0.722 | 0.626 | 0.750 | 0.719 | 0.719 | 0.777 | 0.731 | 0.722 | 0.722 | 0.750 | 0.787 | 0.787 | 0.740 | 0.694 | 0.712 | 0.759 | 0.750 | 0.824 | 0.824 | 0.654 | 0.824 | logical_fallacies | 0.625 | 0.792 | 0.805 | 0.811 | 0.797 | 0.730 | 0.754 | 0.656 | 0.711 | 0.785 | 0.691 | 0.791 | 0.736 | 0.723 | 0.736 | 0.687 | 0.705 | 0.660 | 0.730 | 0.666 | 0.691 | 0.779 | 0.773 | 0.791 | 0.785 | 0.754 | 0.852 | 0.736 | 0.717 | 0.705 | 0.723 | 0.773 | 0.766 | 0.834 | 0.877 | 0.641 | 0.809 | machine_learning | 0.241 | 0.401 | 0.410 | 0.437 | 0.571 | 0.419 | 0.401 | 0.276 | 0.366 | 0.464 | 0.339 | 0.410 | 0.339 | 0.312 | 0.366 | 0.285 | 0.366 | 0.321 | 0.366 | 0.366 | 0.348 | 0.437 | 0.473 | 0.383 | 0.437 | 0.375 | 0.500 | 0.383 | 0.375 | 0.339 | 0.321 | 0.437 | 0.410 | 0.526 | 0.642 | 0.312 | 0.526 | management | 0.737 | 0.805 | 0.825 | 0.825 | 0.844 | 0.737 | 0.766 | 0.572 | 0.718 | 0.815 | 0.747 | 0.834 | 0.757 | 0.757 | 0.737 | 0.669 | 0.766 | 0.708 | 0.699 | 0.737 | 0.737 | 0.815 | 0.805 | 0.786 | 0.786 | 0.776 | 0.815 | 0.737 | 0.718 | 0.689 | 0.718 | 0.805 | 0.825 | 0.825 | 0.864 | 0.747 | 0.786 | marketing | 0.760 | 0.871 | 0.880 | 0.863 | 0.893 | 0.850 | 0.858 | 0.726 | 0.803 | 0.829 | 0.824 | 0.876 | 0.811 | 0.824 | 0.837 | 0.799 | 0.794 | 0.756 | 0.811 | 0.833 | 0.816 | 0.846 | 0.841 | 0.824 | 0.820 | 0.803 | 0.880 | 0.841 | 0.837 | 0.811 | 0.816 | 0.888 | 0.893 | 0.897 | 0.901 | 0.782 | 0.846 | medical_genetics | 0.580 | 0.780 | 0.750 | 0.780 | 0.810 | 0.630 | 0.640 | 0.570 | 0.650 | 0.690 | 0.700 | 0.770 | 0.700 | 0.690 | 0.720 | 0.660 | 0.660 | 0.600 | 0.740 | 0.630 | 0.660 | 0.760 | 0.680 | 0.710 | 0.710 | 0.700 | 0.830 | 0.690 | 0.660 | 0.660 | 0.690 | 0.770 | 0.770 | 0.820 | 0.900 | 0.640 | 0.820 | miscellaneous | 0.698 | 0.832 | 0.832 | 0.830 | 0.854 | 0.775 | 0.796 | 0.650 | 0.776 | 0.787 | 0.760 | 0.822 | 0.773 | 0.776 | 0.773 | 0.736 | 0.759 | 0.727 | 0.782 | 0.766 | 0.756 | 0.795 | 0.770 | 0.756 | 0.777 | 0.759 | 0.837 | 0.814 | 0.798 | 0.724 | 0.726 | 0.807 | 0.814 | 0.871 | 0.885 | 0.746 | 0.828 | moral_disputes | 0.526 | 0.686 | 0.671 | 0.680 | 0.736 | 0.604 | 0.612 | 0.456 | 0.592 | 0.589 | 0.607 | 0.696 | 0.618 | 0.578 | 0.621 | 0.560 | 0.572 | 0.524 | 0.552 | 0.598 | 0.645 | 0.647 | 0.644 | 0.635 | 0.615 | 0.621 | 0.696 | 0.658 | 0.630 | 0.537 | 0.566 | 0.664 | 0.676 | 0.725 | 0.760 | 0.554 | 0.708 | moral_scenarios | 0.227 | 0.330 | 0.410 | 0.325 | 0.366 | 0.307 | 0.360 | 0.082 | 0.164 | 0.280 | 0.243 | 0.439 | 0.184 | 0.153 | 0.205 | 0.410 | 0.246 | 0.122 | 0.226 | 0.229 | 0.327 | 0.391 | 0.317 | 0.288 | 0.366 | 0.404 | 0.538 | 0.336 | 0.139 | 0.130 | 0.058 | 0.318 | 0.368 | 0.546 | 0.565 | 0.188 | 0.477 | nutrition | 0.591 | 0.683 | 0.669 | 0.683 | 0.758 | 0.643 | 0.653 | 0.486 | 0.611 | 0.650 | 0.653 | 0.751 | 0.686 | 0.660 | 0.689 | 0.620 | 0.647 | 0.555 | 0.614 | 0.624 | 0.633 | 0.660 | 0.630 | 0.630 | 0.669 | 0.620 | 0.751 | 0.692 | 0.647 | 0.647 | 0.630 | 0.745 | 0.745 | 0.790 | 0.797 | 0.575 | 0.722 | philosophy | 0.527 | 0.654 | 0.641 | 0.658 | 0.713 | 0.652 | 0.659 | 0.472 | 0.623 | 0.636 | 0.590 | 0.723 | 0.614 | 0.639 | 0.617 | 0.578 | 0.598 | 0.587 | 0.633 | 0.612 | 0.580 | 0.636 | 0.630 | 0.598 | 0.630 | 0.588 | 0.704 | 0.646 | 0.578 | 0.562 | 0.565 | 0.675 | 0.688 | 0.774 | 0.778 | 0.554 | 0.717 | prehistory | 0.518 | 0.727 | 0.730 | 0.728 | 0.783 | 0.635 | 0.663 | 0.484 | 0.638 | 0.669 | 0.638 | 0.746 | 0.679 | 0.691 | 0.700 | 0.604 | 0.623 | 0.580 | 0.675 | 0.697 | 0.648 | 0.731 | 0.688 | 0.675 | 0.697 | 0.663 | 0.774 | 0.675 | 0.629 | 0.641 | 0.666 | 0.762 | 0.756 | 0.836 | 0.861 | 0.595 | 0.783 | professional_accounting | 0.326 | 0.507 | 0.489 | 0.496 | 0.514 | 0.404 | 0.425 | 0.262 | 0.354 | 0.453 | 0.386 | 0.492 | 0.358 | 0.386 | 0.393 | 0.336 | 0.382 | 0.336 | 0.421 | 0.361 | 0.382 | 0.414 | 0.421 | 0.397 | 0.418 | 0.386 | 0.578 | 0.443 | 0.478 | 0.386 | 0.414 | 0.457 | 0.460 | 0.560 | 0.631 | 0.358 | 0.514 | professional_law | 0.307 | 0.486 | 0.478 | 0.478 | 0.528 | 0.404 | 0.408 | 0.329 | 0.383 | 0.359 | 0.363 | 0.367 | 0.359 | 0.377 | 0.397 | 0.369 | 0.383 | 0.333 | 0.379 | 0.399 | 0.383 | 0.440 | 0.402 | 0.405 | 0.410 | 0.401 | 0.498 | 0.423 | 0.386 | 0.340 | 0.337 | 0.401 | 0.402 | 0.477 | 0.541 | 0.350 | 0.481 | professional_medicine | 0.485 | 0.749 | 0.774 | 0.756 | 0.794 | 0.654 | 0.680 | 0.375 | 0.588 | 0.665 | 0.682 | 0.761 | 0.713 | 0.727 | 0.724 | 0.713 | 0.672 | 0.564 | 0.705 | 0.642 | 0.619 | 0.705 | 0.654 | 0.643 | 0.687 | 0.658 | 0.794 | 0.658 | 0.613 | 0.573 | 0.580 | 0.680 | 0.683 | 0.812 | 0.845 | 0.645 | 0.794 | professional_psychology | 0.477 | 0.722 | 0.717 | 0.728 | 0.805 | 0.598 | 0.609 | 0.449 | 0.535 | 0.599 | 0.580 | 0.686 | 0.616 | 0.619 | 0.642 | 0.509 | 0.565 | 0.521 | 0.602 | 0.560 | 0.588 | 0.686 | 0.648 | 0.638 | 0.655 | 0.617 | 0.764 | 0.671 | 0.637 | 0.586 | 0.591 | 0.707 | 0.702 | 0.776 | 0.810 | 0.529 | 0.759 | public_relations | 0.563 | 0.690 | 0.700 | 0.700 | 0.672 | 0.572 | 0.627 | 0.500 | 0.581 | 0.636 | 0.590 | 0.636 | 0.536 | 0.518 | 0.518 | 0.545 | 0.581 | 0.554 | 0.627 | 0.581 | 0.518 | 0.618 | 0.572 | 0.627 | 0.554 | 0.572 | 0.672 | 0.636 | 0.618 | 0.563 | 0.572 | 0.627 | 0.645 | 0.736 | 0.663 | 0.554 | 0.581 | security_studies | 0.616 | 0.710 | 0.751 | 0.746 | 0.763 | 0.624 | 0.632 | 0.514 | 0.648 | 0.759 | 0.644 | 0.738 | 0.665 | 0.653 | 0.665 | 0.616 | 0.673 | 0.600 | 0.608 | 0.612 | 0.628 | 0.685 | 0.693 | 0.697 | 0.669 | 0.673 | 0.738 | 0.665 | 0.669 | 0.620 | 0.653 | 0.718 | 0.718 | 0.767 | 0.775 | 0.575 | 0.730 | sociology | 0.666 | 0.800 | 0.825 | 0.815 | 0.860 | 0.736 | 0.741 | 0.626 | 0.716 | 0.810 | 0.766 | 0.830 | 0.751 | 0.756 | 0.786 | 0.741 | 0.771 | 0.716 | 0.786 | 0.776 | 0.781 | 0.805 | 0.800 | 0.800 | 0.820 | 0.781 | 0.850 | 0.825 | 0.820 | 0.716 | 0.736 | 0.815 | 0.825 | 0.855 | 0.860 | 0.741 | 0.835 | us_foreign_policy | 0.690 | 0.838 | 0.868 | 0.868 | 0.840 | 0.780 | 0.800 | 0.700 | 0.790 | 0.790 | 0.777 | 0.890 | 0.790 | 0.770 | 0.800 | 0.800 | 0.840 | 0.757 | 0.740 | 0.787 | 0.787 | 0.790 | 0.760 | 0.740 | 0.760 | 0.770 | 0.850 | 0.800 | 0.820 | 0.750 | 0.780 | 0.820 | 0.820 | 0.890 | 0.880 | 0.757 | 0.810 | virology | 0.433 | 0.457 | 0.475 | 0.472 | 0.506 | 0.415 | 0.439 | 0.367 | 0.439 | 0.415 | 0.460 | 0.506 | 0.415 | 0.439 | 0.439 | 0.415 | 0.475 | 0.387 | 0.421 | 0.436 | 0.448 | 0.421 | 0.391 | 0.379 | 0.403 | 0.367 | 0.487 | 0.457 | 0.421 | 0.373 | 0.427 | 0.463 | 0.457 | 0.487 | 0.518 | 0.381 | 0.487 | world_religions | 0.678 | 0.800 | 0.817 | 0.800 | 0.847 | 0.766 | 0.766 | 0.643 | 0.760 | 0.801 | 0.729 | 0.801 | 0.766 | 0.783 | 0.789 | 0.742 | 0.777 | 0.747 | 0.789 | 0.800 | 0.747 | 0.766 | 0.754 | 0.742 | 0.742 | 0.725 | 0.801 | 0.766 | 0.748 | 0.783 | 0.760 | 0.818 | 0.818 | 0.859 | 0.871 | 0.705 | 0.812 | MMLU | 0.475 | 0.646 | 0.652 | 0.647 | 0.687 | 0.580 | 0.595 | 0.429 | 0.530 | 0.595 | 0.537 | 0.640 | 0.556 | 0.552 | 0.570 | 0.525 | 0.550 | 0.486 | 0.555 | 0.544 | 0.553 | 0.618 | 0.590 | 0.578 | 0.599 | 0.578 | 0.682 | 0.610 | 0.576 | 0.532 | 0.540 | 0.639 | 0.643 | 0.721 | 0.757 | 0.509 | 0.666 | AGIEVAL aquarat | 0.460 | 0.677 | 0.696 | 0.665 | 0.602 | 0.653 | 0.637 | 0.488 | 0.614 | 0.657 | 0.145 | 0.653 | 0.681 | 0.673 | 0.598 | 0.633 | 0.712 | 0.279 | 0.322 | 0.582 | 0.157 | 0.129 | 0.212 | 0.338 | 0.409 | 0.574 | 0.614 | 0.712 | 0.566 | 0.732 | 0.728 | 0.799 | 0.830 | 0.822 | 0.870 | 0.425 | 0.590 | logiqa | 0.321 | 0.443 | 0.440 | 0.447 | 0.477 | 0.399 | 0.416 | 0.282 | 0.324 | 0.393 | 0.333 | 0.413 | 0.311 | 0.321 | 0.328 | 0.265 | 0.324 | 0.264 | 0.311 | 0.330 | 0.327 | 0.339 | 0.308 | 0.285 | 0.281 | 0.267 | 0.405 | 0.359 | 0.351 | 0.316 | 0.342 | 0.427 | 0.436 | 0.493 | 0.554 | 0.290 | 0.391 | lsatar | 0.191 | 0.234 | 0.239 | 0.208 | 0.260 | 0.073 | 0.217 | 0.234 | 0.226 | 0.239 | 0.200 | 0.252 | 0.278 | 0.278 | 0.295 | 0.239 | 0.186 | 0.186 | 0.200 | 0.278 | 0.208 | 0.265 | 0.260 | 0.252 | 0.256 | 0.247 | 0.208 | 0.252 | 0.178 | 0.230 | 0.226 | 0.260 | 0.300 | 0.321 | 0.400 | 0.173 | 0.226 | lsatlr | 0.337 | 0.625 | 0.627 | 0.635 | 0.654 | 0.505 | 0.515 | 0.296 | 0.415 | 0.513 | 0.445 | 0.490 | 0.425 | 0.433 | 0.441 | 0.327 | 0.447 | 0.366 | 0.445 | 0.523 | 0.570 | 0.456 | 0.431 | 0.429 | 0.415 | 0.386 | 0.598 | 0.456 | 0.466 | 0.452 | 0.449 | 0.598 | 0.603 | 0.729 | 0.811 | 0.449 | 0.576 | lsatrc | 0.431 | 0.747 | 0.747 | 0.750 | 0.754 | 0.635 | 0.643 | 0.390 | 0.557 | 0.643 | 0.605 | 0.672 | 0.591 | 0.635 | 0.624 | 0.486 | 0.635 | 0.520 | 0.650 | 0.613 | 0.617 | 0.568 | 0.513 | 0.557 | 0.531 | 0.524 | 0.672 | 0.583 | 0.572 | 0.553 | 0.617 | 0.661 | 0.687 | 0.810 | 0.836 | 0.654 | 0.706 | saten | 0.665 | 0.839 | 0.844 | 0.834 | 0.868 | 0.815 | 0.820 | 0.519 | 0.791 | 0.820 | 0.762 | 0.834 | 0.776 | 0.762 | 0.781 | 0.689 | 0.825 | 0.679 | 0.747 | 0.786 | 0.786 | 0.737 | 0.708 | 0.713 | 0.713 | 0.708 | 0.800 | 0.781 | 0.776 | 0.733 | 0.776 | 0.810 | 0.844 | 0.888 | 0.922 | 0.757 | 0.796 | satmath | 0.627 | 0.900 | 0.872 | 0.886 | 0.768 | 0.863 | 0.868 | 0.577 | 0.745 | 0.904 | 0.377 | 0.804 | 0.768 | 0.822 | 0.618 | 0.845 | 0.886 | 0.400 | 0.395 | 0.690 | 0.413 | 0.190 | 0.331 | 0.509 | 0.713 | 0.754 | 0.727 | 0.900 | 0.731 | 0.900 | 0.922 | 0.963 | 0.963 | 0.990 | 0.981 | 0.540 | 0.768 | AGIEVAL | 0.398 | 0.600 | 0.600 | 0.598 | 0.602 | 0.525 | 0.546 | 0.364 | 0.473 | 0.547 | 0.397 | 0.544 | 0.489 | 0.501 | 0.480 | 0.433 | 0.512 | 0.359 | 0.416 | 0.501 | 0.432 | 0.382 | 0.381 | 0.409 | 0.429 | 0.438 | 0.546 | 0.522 | 0.481 | 0.501 | 0.520 | 0.599 | 0.616 | 0.681 | 0.734 | 0.434 | 0.544 | BBH boolean_expressions | 0.556 | 0.764 | 0.776 | 0.768 | 0.460 | 0.848 | 0.868 | 0.812 | 0.856 | 0.688 | 0.796 | 0.804 | 0.824 | 0.832 | 0.844 | 0.480 | 0.728 | 0.764 | 0.780 | 0.824 | 0.664 | 0.816 | 0.848 | 0.800 | 0.852 | 0.832 | 0.696 | 0.808 | 0.776 | 0.756 | 0.796 | 0.864 | 0.880 | 0.888 | 0.808 | 0.720 | 0.540 | causal_judgement | 0.524 | 0.609 | 0.604 | 0.598 | 0.604 | 0.550 | 0.550 | 0.566 | 0.598 | 0.689 | 0.540 | 0.513 | 0.545 | 0.518 | 0.540 | 0.518 | 0.593 | 0.588 | 0.625 | 0.614 | 0.604 | 0.556 | 0.508 | 0.598 | 0.588 | 0.593 | 0.588 | 0.625 | 0.582 | 0.497 | 0.529 | 0.508 | 0.513 | 0.647 | 0.700 | 0.636 | 0.641 | date_understanding | 0.592 | 0.780 | 0.764 | 0.748 | 0.788 | 0.580 | 0.572 | 0.560 | 0.684 | 0.832 | 0.700 | 0.660 | 0.732 | 0.724 | 0.716 | 0.664 | 0.772 | 0.548 | 0.668 | 0.592 | 0.608 | 0.644 | 0.464 | 0.568 | 0.696 | 0.576 | 0.780 | 0.544 | 0.544 | 0.616 | 0.648 | 0.764 | 0.740 | 0.856 | 0.872 | 0.556 | 0.724 | disambiguation_qa | 0.532 | 0.688 | 0.652 | 0.660 | 0.720 | 0.584 | 0.636 | 0.628 | 0.640 | 0.732 | 0.584 | 0.536 | 0.552 | 0.540 | 0.516 | 0.472 | 0.644 | 0.600 | 0.596 | 0.728 | 0.704 | 0.604 | 0.640 | 0.592 | 0.720 | 0.752 | 0.692 | 0.660 | 0.696 | 0.544 | 0.556 | 0.656 | 0.636 | 0.764 | 0.780 | 0.576 | 0.640 | dyck_languages | 0.476 | 0.752 | 0.720 | 0.728 | 0.600 | 0.516 | 0.544 | 0.560 | 0.704 | 0.728 | 0.792 | 0.228 | 0.832 | 0.724 | 0.796 | 0.680 | 0.756 | 0.744 | 0.712 | 0.664 | 0.732 | 0.752 | 0.532 | 0.424 | 0.580 | 0.468 | 0.532 | 0.756 | 0.576 | 0.596 | 0.628 | 0.868 | 0.836 | 0.648 | 0.820 | 0.684 | 0.572 | formal_fallacies | 0.532 | 0.868 | 0.824 | 0.832 | 0.760 | 0.568 | 0.660 | 0.960 | 0.640 | 0.920 | 0.780 | 0.992 | 0.920 | 0.988 | 0.984 | 0.816 | 0.532 | 0.852 | 0.996 | 0.632 | 0.564 | 0.876 | 0.876 | 0.920 | 0.808 | 0.808 | 0.944 | 0.632 | 0.716 | 0.928 | 0.852 | 0.628 | 0.628 | 0.784 | 0.812 | 0.776 | 0.576 | geometric_shapes | 0.204 | 0.400 | 0.384 | 0.436 | 0.420 | 0.392 | 0.400 | 0.268 | 0.368 | 0.840 | 0.352 | 0.400 | 0.440 | 0.488 | 0.440 | 0.416 | 0.520 | 0.288 | 0.404 | 0.348 | 0.344 | 0.468 | 0.372 | 0.248 | 0.416 | 0.292 | 0.328 | 0.356 | 0.276 | 0.204 | 0.212 | 0.544 | 0.604 | 0.584 | 0.640 | 0.268 | 0.400 | hyperbaton | 0.704 | 0.888 | 0.856 | 0.884 | 0.836 | 0.740 | 0.824 | 0.612 | 0.724 | 0.928 | 0.712 | 0.752 | 0.824 | 0.768 | 0.880 | 0.624 | 0.804 | 0.656 | 0.644 | 0.828 | 0.724 | 0.800 | 0.968 | 0.940 | 0.936 | 0.936 | 0.952 | 0.704 | 0.656 | 0.636 | 0.676 | 0.832 | 0.792 | 0.868 | 0.956 | 0.744 | 0.900 | logical_deduction_five_objects | 0.300 | 0.596 | 0.636 | 0.568 | 0.608 | 0.528 | 0.516 | 0.352 | 0.464 | 0.660 | 0.500 | 0.576 | 0.540 | 0.536 | 0.568 | 0.484 | 0.592 | 0.352 | 0.556 | 0.384 | 0.472 | 0.580 | 0.464 | 0.432 | 0.632 | 0.532 | 0.532 | 0.556 | 0.524 | 0.468 | 0.528 | 0.752 | 0.728 | 0.876 | 0.924 | 0.436 | 0.612 | logical_deduction_seven_objects | 0.284 | 0.580 | 0.564 | 0.560 | 0.552 | 0.444 | 0.500 | 0.284 | 0.388 | 0.648 | 0.472 | 0.516 | 0.472 | 0.484 | 0.488 | 0.408 | 0.500 | 0.296 | 0.452 | 0.320 | 0.400 | 0.564 | 0.476 | 0.308 | 0.568 | 0.500 | 0.444 | 0.464 | 0.416 | 0.420 | 0.436 | 0.668 | 0.656 | 0.792 | 0.864 | 0.388 | 0.560 | logical_deduction_three_objects | 0.440 | 0.860 | 0.868 | 0.844 | 0.892 | 0.836 | 0.840 | 0.524 | 0.664 | 0.896 | 0.632 | 0.736 | 0.760 | 0.764 | 0.804 | 0.652 | 0.844 | 0.608 | 0.800 | 0.664 | 0.620 | 0.836 | 0.724 | 0.688 | 0.844 | 0.804 | 0.884 | 0.736 | 0.716 | 0.696 | 0.720 | 0.940 | 0.956 | 0.980 | 0.992 | 0.664 | 0.888 | movie_recommendation | 0.568 | 0.560 | 0.552 | 0.552 | 0.508 | 0.604 | 0.648 | 0.440 | 0.528 | 0.884 | 0.532 | 0.504 | 0.548 | 0.540 | 0.536 | 0.456 | 0.604 | 0.508 | 0.448 | 0.552 | 0.540 | 0.572 | 0.544 | 0.540 | 0.520 | 0.508 | 0.584 | 0.548 | 0.492 | 0.604 | 0.568 | 0.556 | 0.536 | 0.672 | 0.648 | 0.584 | 0.676 | multistep_arithmetic_two | 0.288 | 0.480 | 0.472 | 0.488 | 0.472 | 0.580 | 0.524 | 0.340 | 0.464 | 0.372 | 0.248 | 0.060 | 0.712 | 0.704 | 0.700 | 0.532 | 0.540 | 0.108 | 0.432 | 0.164 | 0.292 | 0.612 | 0.624 | 0.272 | 0.836 | 0.420 | 0.460 | 0.532 | 0.324 | 0.852 | 0.876 | 0.896 | 0.948 | 0.964 | 0.976 | 0.252 | 0.536 | navigate | 0.580 | 0.588 | 0.588 | 0.596 | 0.648 | 0.420 | 0.420 | 0.580 | 0.592 | 0.452 | 0.576 | 0.560 | 0.520 | 0.580 | 0.580 | 0.580 | 0.572 | 0.600 | 0.588 | 0.568 | 0.580 | 0.612 | 0.644 | 0.596 | 0.588 | 0.584 | 0.636 | 0.596 | 0.592 | 0.576 | 0.572 | 0.596 | 0.596 | 0.624 | 0.684 | 0.520 | 0.652 | object_counting | 0.612 | 0.800 | 0.808 | 0.848 | 0.856 | 0.616 | 0.660 | 0.624 | 0.760 | 0.644 | 0.852 | 0.896 | 0.820 | 0.772 | 0.864 | 0.808 | 0.908 | 0.608 | 0.716 | 0.564 | 0.796 | 0.876 | 0.696 | 0.244 | 0.836 | 0.344 | 0.372 | 0.660 | 0.676 | 0.740 | 0.764 | 0.848 | 0.804 | 0.892 | 0.896 | 0.680 | 0.756 | penguins_in_a_table | 0.506 | 0.883 | 0.869 | 0.890 | 0.842 | 0.917 | 0.917 | 0.527 | 0.705 | 0.815 | 0.767 | 0.863 | 0.856 | 0.821 | 0.856 | 0.801 | 0.917 | 0.623 | 0.801 | 0.575 | 0.760 | 0.719 | 0.486 | 0.465 | 0.883 | 0.712 | 0.815 | 0.835 | 0.719 | 0.821 | 0.849 | 0.945 | 0.924 | 0.958 | 0.986 | 0.636 | 0.828 | reasoning_about_colored_objects | 0.484 | 0.700 | 0.700 | 0.744 | 0.900 | 0.876 | 0.796 | 0.548 | 0.668 | 0.904 | 0.740 | 0.800 | 0.760 | 0.820 | 0.824 | 0.568 | 0.904 | 0.608 | 0.752 | 0.648 | 0.752 | 0.696 | 0.664 | 0.656 | 0.808 | 0.656 | 0.896 | 0.764 | 0.716 | 0.700 | 0.764 | 0.904 | 0.868 | 0.944 | 0.984 | 0.600 | 0.840 | ruin_names | 0.480 | 0.720 | 0.692 | 0.716 | 0.760 | 0.696 | 0.652 | 0.348 | 0.528 | 0.932 | 0.724 | 0.736 | 0.676 | 0.680 | 0.744 | 0.532 | 0.556 | 0.400 | 0.584 | 0.408 | 0.592 | 0.628 | 0.528 | 0.596 | 0.612 | 0.600 | 0.636 | 0.564 | 0.560 | 0.396 | 0.324 | 0.440 | 0.544 | 0.692 | 0.760 | 0.536 | 0.616 | salient_translation_error_detection | 0.420 | 0.532 | 0.580 | 0.548 | 0.568 | 0.476 | 0.488 | 0.360 | 0.516 | 0.644 | 0.452 | 0.504 | 0.436 | 0.504 | 0.512 | 0.464 | 0.556 | 0.444 | 0.472 | 0.524 | 0.560 | 0.508 | 0.448 | 0.408 | 0.520 | 0.532 | 0.596 | 0.456 | 0.444 | 0.452 | 0.432 | 0.560 | 0.572 | 0.612 | 0.700 | 0.532 | 0.588 | snarks | 0.584 | 0.646 | 0.696 | 0.691 | 0.719 | 0.702 | 0.707 | 0.561 | 0.685 | 0.820 | 0.668 | 0.696 | 0.651 | 0.685 | 0.651 | 0.657 | 0.691 | 0.606 | 0.691 | 0.533 | 0.640 | 0.617 | 0.612 | 0.735 | 0.747 | 0.786 | 0.747 | 0.657 | 0.651 | 0.662 | 0.623 | 0.747 | 0.780 | 0.831 | 0.865 | 0.646 | 0.837 | sports_understanding | 0.724 | 0.824 | 0.796 | 0.788 | 0.816 | 0.472 | 0.468 | 0.708 | 0.780 | 0.920 | 0.684 | 0.696 | 0.636 | 0.744 | 0.720 | 0.644 | 0.640 | 0.716 | 0.800 | 0.836 | 0.792 | 0.612 | 0.600 | 0.596 | 0.596 | 0.600 | 0.748 | 0.776 | 0.784 | 0.620 | 0.616 | 0.676 | 0.684 | 0.680 | 0.748 | 0.828 | 0.740 | temporal_sequences | 0.124 | 0.680 | 0.680 | 0.708 | 0.748 | 0.756 | 0.840 | 0.216 | 0.576 | 0.976 | 0.792 | 0.688 | 0.804 | 0.788 | 0.856 | 0.712 | 0.360 | 0.404 | 0.544 | 0.524 | 0.508 | 0.860 | 0.612 | 0.800 | 0.784 | 0.508 | 0.892 | 0.596 | 0.356 | 0.324 | 0.388 | 0.800 | 0.820 | 0.988 | 0.992 | 0.568 | 0.920 | tracking_shuffled_objects_five_objects | 0.216 | 0.536 | 0.600 | 0.600 | 0.692 | 0.544 | 0.536 | 0.588 | 0.536 | 0.572 | 0.552 | 0.520 | 0.568 | 0.596 | 0.656 | 0.500 | 0.792 | 0.344 | 0.736 | 0.356 | 0.468 | 0.848 | 0.664 | 0.612 | 0.940 | 0.712 | 0.776 | 0.476 | 0.400 | 0.420 | 0.452 | 0.840 | 0.908 | 0.924 | 0.972 | 0.364 | 0.420 | tracking_shuffled_objects_seven_objects | 0.152 | 0.576 | 0.572 | 0.572 | 0.640 | 0.512 | 0.436 | 0.484 | 0.596 | 0.480 | 0.436 | 0.420 | 0.488 | 0.536 | 0.592 | 0.420 | 0.728 | 0.296 | 0.596 | 0.284 | 0.396 | 0.780 | 0.640 | 0.568 | 0.896 | 0.612 | 0.652 | 0.416 | 0.320 | 0.292 | 0.312 | 0.800 | 0.868 | 0.848 | 0.980 | 0.372 | 0.436 | tracking_shuffled_objects_three_objects | 0.292 | 0.716 | 0.708 | 0.732 | 0.848 | 0.620 | 0.696 | 0.604 | 0.592 | 0.528 | 0.680 | 0.696 | 0.704 | 0.704 | 0.728 | 0.608 | 0.832 | 0.436 | 0.832 | 0.412 | 0.724 | 0.780 | 0.836 | 0.572 | 0.960 | 0.788 | 0.888 | 0.524 | 0.420 | 0.604 | 0.664 | 0.832 | 0.872 | 0.856 | 0.996 | 0.536 | 0.660 | web_of_lies | 0.508 | 0.524 | 0.556 | 0.520 | 0.488 | 0.476 | 0.488 | 0.480 | 0.544 | 0.536 | 0.524 | 0.508 | 0.440 | 0.512 | 0.512 | 0.544 | 0.492 | 0.488 | 0.512 | 0.488 | 0.512 | 0.512 | 0.492 | 0.512 | 0.488 | 0.492 | 0.548 | 0.552 | 0.488 | 0.512 | 0.512 | 0.528 | 0.532 | 0.544 | 0.624 | 0.488 | 0.520 | word_sorting | 0.100 | 0.424 | 0.424 | 0.404 | 0.540 | 0.404 | 0.392 | 0.216 | 0.360 | 0.452 | 0.544 | 0 | 0.556 | 0.500 | 0.512 | 0.360 | 0.340 | 0.280 | 0.392 | 0.344 | 0.500 | 0.280 | 0.224 | 0.168 | 0.204 | 0.152 | 0.236 | 0.208 | 0.188 | 0.156 | 0.156 | 0.212 | 0.220 | 0.292 | 0.400 | 0.336 | 0.276 | BBH | 0.432 | 0.663 | 0.661 | 0.664 | 0.674 | 0.596 | 0.608 | 0.507 | 0.595 | 0.719 | 0.613 | 0.582 | 0.650 | 0.659 | 0.681 | 0.566 | 0.652 | 0.506 | 0.631 | 0.531 | 0.583 | 0.667 | 0.602 | 0.549 | 0.696 | 0.592 | 0.658 | 0.587 | 0.536 | 0.554 | 0.567 | 0.709 | 0.718 | 0.775 | 0.827 | 0.549 | 0.637 | MUSR murder_mystery | 0.552 | 0.688 | 0.672 | 0.668 | 0.576 | 0.616 | 0.584 | 0.544 | 0.492 | 0.572 | 0.576 | 0.560 | 0.616 | 0.596 | 0.584 | 0.576 | 0.624 | 0.516 | 0.656 | 0.592 | 0.272 | 0.616 | 0.612 | 0.636 | 0.636 | 0.620 | 0.600 | 0.516 | 0.156 | 0.544 | 0.612 | 0.604 | 0.584 | 0.652 | 0.640 | 0.588 | 0.532 | object_placements | 0.449 | 0.539 | 0.535 | 0.519 | 0.542 | 0.492 | 0.531 | 0.480 | 0.496 | 0.492 | 0.500 | 0.531 | 0.542 | 0.488 | 0.546 | 0.523 | 0.484 | 0.453 | 0.542 | 0.527 | 0.523 | 0.496 | 0.437 | 0.496 | 0.503 | 0.457 | 0.519 | 0.511 | 0.425 | 0.472 | 0.476 | 0.531 | 0.554 | 0.519 | 0.265 | 0.500 | 0.425 | team_allocation | 0.352 | 0.460 | 0.484 | 0.460 | 0.476 | 0.572 | 0.588 | 0.364 | 0.460 | 0.500 | 0.412 | 0.512 | 0.416 | 0.468 | 0.460 | 0.396 | 0.504 | 0.356 | 0.448 | 0.456 | 0.516 | 0.540 | 0.548 | 0.520 | 0.536 | 0.480 | 0.560 | 0.440 | 0.084 | 0.444 | 0.384 | 0.512 | 0.476 | 0.556 | 0.592 | 0.504 | 0.556 | MUSR | 0.451 | 0.562 | 0.563 | 0.548 | 0.531 | 0.559 | 0.567 | 0.462 | 0.482 | 0.521 | 0.496 | 0.534 | 0.525 | 0.517 | 0.530 | 0.498 | 0.537 | 0.441 | 0.548 | 0.525 | 0.437 | 0.550 | 0.531 | 0.550 | 0.558 | 0.518 | 0.559 | 0.489 | 0.223 | 0.486 | 0.490 | 0.548 | 0.538 | 0.575 | 0.497 | 0.530 | 0.503 | MMLUPRO biology | 0.582 | 0.754 | 0.687 | 0.747 | 0.772 | 0.676 | 0.695 | 0.538 | 0.608 | 0.687 | 0.627 | 0.641 | 0.675 | 0.672 | 0.686 | 0.623 | 0.659 | 0.582 | 0.651 | 0.619 | 0.592 | 0.697 | 0.656 | 0.676 | 0.702 | 0.662 | 0.725 | 0.668 | 0.571 | 0.610 | 0.638 | 0.709 | 0.729 | 0.797 | 0.764 | 0.570 | 0.684 | business | 0.356 | 0.579 | 0.679 | 0.583 | 0.626 | 0.522 | 0.562 | 0.307 | 0.423 | 0.510 | 0.465 | 0.555 | 0.558 | 0.536 | 0.558 | 0.458 | 0.536 | 0.335 | 0.510 | 0.404 | 0.429 | 0.520 | 0.396 | 0.465 | 0.571 | 0.509 | 0.476 | 0.590 | 0.415 | 0.504 | 0.558 | 0.647 | 0.661 | 0.718 | 0.755 | 0.335 | 0.496 | chemistry | 0.271 | 0.502 | 0.639 | 0.503 | 0.546 | 0.465 | 0.467 | 0.227 | 0.291 | 0.343 | 0.332 | 0.414 | 0.451 | 0.439 | 0.467 | 0.390 | 0.375 | - | 0.366 | 0.263 | 0.271 | 0.456 | 0.367 | 0.431 | 0.463 | 0.296 | 0.312 | 0.413 | 0.271 | 0.387 | 0.451 | 0.559 | 0.580 | 0.684 | 0.701 | 0.196 | 0.407 | computer_science | 0.300 | 0.473 | 0.507 | 0.482 | 0.560 | 0.497 | 0.502 | 0.329 | 0.443 | 0.487 | 0.392 | 0.521 | 0.495 | 0.534 | 0.485 | 0.414 | 0.541 | - | 0.456 | 0.426 | 0.424 | 0.495 | 0.426 | 0.458 | 0.475 | 0.448 | 0.521 | 0.482 | 0.370 | 0.434 | 0.402 | 0.590 | 0.604 | 0.663 | 0.734 | 0.339 | 0.512 | economics | 0.408 | 0.622 | 0.648 | 0.668 | 0.678 | 0.617 | 0.610 | 0.395 | 0.510 | 0.540 | 0.510 | 0.556 | 0.569 | 0.571 | 0.568 | 0.492 | 0.542 | - | 0.541 | 0.484 | 0.490 | 0.600 | 0.555 | 0.558 | 0.609 | 0.587 | 0.575 | 0.574 | 0.521 | 0.521 | 0.550 | 0.674 | 0.687 | 0.721 | 0.787 | 0.463 | - | engineering | 0.253 | 0.391 | 0.406 | 0.406 | 0.414 | 0.303 | 0.298 | 0.204 | 0.284 | 0.301 | 0.311 | 0.348 | 0.391 | 0.391 | 0.378 | 0.302 | 0.330 | - | 0.317 | 0.237 | 0.237 | 0.274 | 0.264 | 0.297 | 0.297 | 0.283 | 0.342 | 0.356 | 0.247 | 0.296 | 0.309 | 0.418 | 0.420 | 0.512 | 0.573 | 0.180 | - | health | 0.333 | 0.561 | 0.535 | 0.545 | 0.621 | 0.492 | 0.496 | 0.273 | 0.433 | 0.458 | 0.465 | 0.530 | 0.556 | 0.562 | 0.558 | 0.437 | 0.464 | - | 0.498 | 0.422 | 0.414 | 0.541 | 0.433 | 0.479 | 0.515 | 0.466 | 0.588 | 0.442 | 0.394 | 0.388 | 0.416 | 0.556 | 0.569 | 0.643 | 0.690 | 0.381 | - | history | 0.275 | 0.482 | 0.522 | 0.493 | 0.490 | 0.425 | 0.438 | 0.244 | 0.388 | 0.391 | 0.406 | 0.419 | 0.433 | 0.409 | 0.451 | 0.380 | 0.409 | - | 0.425 | 0.359 | 0.364 | 0.406 | 0.398 | 0.388 | 0.380 | 0.380 | 0.496 | 0.391 | 0.325 | 0.333 | 0.367 | 0.459 | 0.464 | 0.566 | 0.624 | 0.380 | - | law | 0.198 | 0.356 | 0.353 | 0.343 | 0.405 | 0.299 | 0.284 | 0.204 | 0.266 | 0.237 | 0.260 | 0.306 | 0.295 | 0.309 | 0.303 | 0.243 | 0.276 | - | 0.279 | 0.238 | 0.262 | 0.327 | 0.285 | 0.306 | 0.276 | 0 | 0.384 | 0.271 | 0.207 | 0.220 | 0.237 | 0.300 | 0.292 | 0.366 | 0.455 | 0.217 | - | math | 0.309 | 0.537 | 0.621 | 0.538 | 0.570 | 0.490 | 0.523 | 0.318 | 0.417 | 0.508 | 0.382 | 0.496 | 0.532 | 0.516 | 0.555 | 0.511 | 0.543 | - | 0.416 | 0.369 | 0.418 | 0.482 | 0.369 | 0.468 | 0.522 | 0.458 | 0.391 | 0.592 | 0.385 | 0.581 | 0.603 | 0.712 | 0.723 | 0.775 | 0.814 | 0.270 | - | other | 0.325 | 0.528 | 0.542 | 0.551 | 0.574 | 0.464 | 0.458 | 0.308 | 0.423 | 0.440 | 0.411 | 0.493 | 0.482 | 0.478 | 0.487 | 0.389 | 0.464 | - | 0.456 | 0.416 | 0.401 | 0.466 | 0.396 | 0.457 | 0.500 | 0.433 | 0.532 | 0.444 | 0.406 | 0.410 | 0.405 | 0.529 | 0.551 | 0.611 | 0.664 | 0.400 | - | philosophy | 0.272 | 0.460 | 0.436 | 0.448 | 0.488 | 0.408 | 0.412 | 0.286 | 0.366 | 0.372 | 0.356 | 0.434 | 0.424 | 0.438 | 0.382 | 0.326 | 0.366 | - | 0.390 | 0.360 | 0.346 | 0.422 | 0.354 | 0.386 | 0.406 | 0.390 | 0.494 | 0.374 | 0.336 | 0.376 | 0.364 | 0.480 | 0.464 | 0.557 | 0.599 | 0.326 | - | physics | 0.275 | 0.491 | 0.494 | 0.501 | 0.559 | 0.441 | 0.461 | 0.222 | 0.318 | 0.344 | 0.334 | 0.457 | 0.484 | 0.492 | 0.488 | 0.397 | 0.414 | - | 0.370 | 0.317 | 0.309 | 0.432 | 0.352 | 0.423 | 0.455 | 0.425 | 0.367 | 0.457 | 0.297 | 0.419 | 0.456 | 0.589 | 0.602 | 0.702 | 0.543 | 0.240 | - | psychology | 0.494 | 0.666 | 0.657 | 0.647 | 0.692 | 0.586 | 0.602 | 0.436 | 0.531 | 0.572 | 0.560 | 0.581 | 0.624 | 0.601 | 0.637 | 0.518 | 0.595 | - | 0.588 | 0.543 | 0.552 | 0.626 | 0.573 | 0.583 | 0.621 | 0.572 | 0.676 | 0.595 | 0.536 | 0.526 | 0.563 | 0.636 | 0.644 | 0.721 | 0.749 | 0.525 | - | MMLUPRO | 0.326 | 0.524 | 0.553 | 0.528 | 0.568 | 0.471 | 0.480 | 0.298 | 0.395 | 0.432 | 0.404 | 0.475 | 0.494 | 0.491 | 0.499 | 0.419 | 0.458 | 0.453 | 0.436 | 0.376 | 0.382 | 0.475 | 0.405 | 0.451 | 0.482 | 0.408 | 0.470 | 0.475 | 0.368 | 0.430 | 0.457 | 0.564 | 0.575 | 0.649 | 0.671 | 0.326 | 0.509 | CATEGORIES REASONING | 0.570 | 0.782 | 0.800 | 0.788 | 0.814 | 0.804 | 0.811 | 0.592 | 0.702 | 0.845 | 0.684 | 0.754 | 0.702 | 0.708 | 0.713 | 0.606 | 0.779 | 0.628 | 0.730 | 0.785 | 0.799 | 0.744 | 0.713 | 0.741 | 0.724 | 0.691 | 0.805 | 0.755 | 0.747 | 0.689 | 0.719 | 0.805 | 0.809 | 0.850 | 0.874 | 0.784 | 0.806 | UNDERSTANDING | 0.538 | 0.708 | 0.712 | 0.707 | 0.742 | 0.661 | 0.670 | 0.511 | 0.598 | 0.685 | 0.602 | 0.680 | 0.622 | 0.618 | 0.631 | 0.579 | 0.633 | 0.563 | 0.633 | 0.644 | 0.651 | 0.661 | 0.629 | 0.629 | 0.614 | 0.622 | 0.727 | 0.674 | 0.649 | 0.605 | 0.613 | 0.692 | 0.696 | 0.761 | 0.793 | 0.617 | 0.713 | LANGUAGE | 0.624 | 0.733 | 0.732 | 0.735 | 0.755 | 0.786 | 0.783 | 0.746 | 0.799 | 0.732 | 0.710 | 0.729 | 0.740 | 0.738 | 0.747 | 0.705 | 0.776 | 0.766 | 0.714 | 0.744 | 0.733 | 0.613 | 0.638 | 0.618 | 0.677 | 0.613 | 0.632 | 0.735 | 0.564 | 0.685 | 0.682 | 0.722 | 0.724 | 0.769 | 0.781 | 0.654 | 0.708 | KNOWLEDGE | 0.505 | 0.677 | 0.710 | 0.689 | 0.733 | 0.542 | 0.524 | 0.455 | 0.518 | 0.588 | 0.536 | 0.633 | 0.568 | 0.571 | 0.547 | 0.536 | 0.569 | 0.582 | 0.546 | 0.607 | 0.581 | 0.581 | 0.546 | 0.546 | 0.517 | 0.519 | 0.663 | 0.500 | 0.585 | 0.451 | 0.391 | 0.591 | 0.589 | 0.689 | 0.726 | 0.545 | 0.559 | COT | 0.350 | 0.548 | 0.568 | 0.550 | 0.582 | 0.485 | 0.500 | 0.336 | 0.431 | 0.505 | 0.446 | 0.488 | 0.522 | 0.521 | 0.530 | 0.446 | 0.479 | 0.498 | 0.466 | 0.416 | 0.424 | 0.502 | 0.437 | 0.474 | 0.506 | 0.440 | 0.503 | 0.492 | 0.398 | 0.443 | 0.462 | 0.570 | 0.581 | 0.653 | 0.684 | 0.377 | 0.563 | MATHCOT | 0.482 | 0.729 | 0.734 | 0.735 | 0.740 | 0.691 | 0.685 | 0.571 | 0.663 | 0.706 | 0.623 | 0.680 | 0.710 | 0.722 | 0.729 | 0.647 | 0.767 | 0.495 | 0.671 | 0.573 | 0.603 | 0.697 | 0.614 | 0.592 | 0.771 | 0.640 | 0.666 | 0.685 | 0.548 | 0.676 | 0.703 | 0.830 | 0.839 | 0.877 | 0.911 | 0.564 | 0.683 | CODE | 0.331 | 0.487 | 0.483 | 0.495 | 0.568 | 0.456 | 0.475 | 0.339 | 0.410 | 0.344 | 0.269 | 0.411 | 0.440 | 0.439 | 0.463 | 0.366 | 0.514 | 0.321 | 0.434 | 0.324 | 0.316 | 0.430 | 0.372 | 0.389 | 0.427 | 0.376 | 0.350 | 0.390 | 0.346 | 0.437 | 0.445 | 0.510 | 0.528 | 0.578 | 0.612 | 0.233 | 0.368 | DISCIPLINES NLP | 0.568 | 0.751 | 0.767 | 0.755 | 0.786 | 0.729 | 0.728 | 0.588 | 0.667 | 0.774 | 0.650 | 0.713 | 0.675 | 0.678 | 0.677 | 0.609 | 0.723 | 0.642 | 0.685 | 0.739 | 0.737 | 0.681 | 0.655 | 0.667 | 0.647 | 0.637 | 0.744 | 0.693 | 0.687 | 0.632 | 0.630 | 0.731 | 0.734 | 0.791 | 0.818 | 0.712 | 0.725 | MATH | 0.398 | 0.633 | 0.649 | 0.635 | 0.652 | 0.590 | 0.596 | 0.453 | 0.552 | 0.638 | 0.527 | 0.594 | 0.613 | 0.612 | 0.629 | 0.556 | 0.636 | 0.452 | 0.563 | 0.494 | 0.517 | 0.611 | 0.528 | 0.525 | 0.647 | 0.543 | 0.584 | 0.617 | 0.493 | 0.576 | 0.598 | 0.740 | 0.748 | 0.799 | 0.844 | 0.466 | 0.625 | SCIENCE | 0.555 | 0.735 | 0.749 | 0.739 | 0.769 | 0.690 | 0.701 | 0.508 | 0.602 | 0.663 | 0.608 | 0.685 | 0.668 | 0.668 | 0.676 | 0.605 | 0.645 | 0.673 | 0.636 | 0.611 | 0.619 | 0.701 | 0.658 | 0.685 | 0.696 | 0.660 | 0.697 | 0.678 | 0.618 | 0.637 | 0.666 | 0.746 | 0.754 | 0.820 | 0.813 | 0.571 | 0.763 | ENGINEERING | 0.280 | 0.412 | 0.426 | 0.426 | 0.438 | 0.334 | 0.333 | 0.224 | 0.303 | 0.333 | 0.332 | 0.386 | 0.412 | 0.404 | 0.397 | 0.323 | 0.346 | 0.393 | 0.339 | 0.267 | 0.272 | 0.305 | 0.300 | 0.319 | 0.323 | 0.308 | 0.371 | 0.388 | 0.283 | 0.315 | 0.325 | 0.443 | 0.444 | 0.530 | 0.590 | 0.199 | 0.586 | MEDICINE | 0.400 | 0.591 | 0.590 | 0.595 | 0.648 | 0.521 | 0.530 | 0.346 | 0.464 | 0.515 | 0.544 | 0.620 | 0.568 | 0.572 | 0.577 | 0.496 | 0.512 | 0.447 | 0.541 | 0.485 | 0.503 | 0.558 | 0.507 | 0.525 | 0.537 | 0.501 | 0.633 | 0.510 | 0.482 | 0.459 | 0.478 | 0.574 | 0.580 | 0.655 | 0.702 | 0.457 | 0.635 | HUMANITIES | 0.485 | 0.643 | 0.652 | 0.645 | 0.679 | 0.586 | 0.604 | 0.430 | 0.540 | 0.590 | 0.545 | 0.624 | 0.571 | 0.563 | 0.578 | 0.529 | 0.563 | 0.536 | 0.564 | 0.551 | 0.559 | 0.605 | 0.567 | 0.567 | 0.588 | 0.567 | 0.671 | 0.591 | 0.544 | 0.523 | 0.528 | 0.629 | 0.638 | 0.716 | 0.742 | 0.524 | 0.701 | BUSINESS | 0.450 | 0.660 | 0.697 | 0.678 | 0.709 | 0.623 | 0.637 | 0.408 | 0.523 | 0.594 | 0.537 | 0.626 | 0.592 | 0.582 | 0.598 | 0.517 | 0.564 | 0.466 | 0.565 | 0.514 | 0.526 | 0.632 | 0.575 | 0.589 | 0.637 | 0.604 | 0.636 | 0.644 | 0.566 | 0.565 | 0.596 | 0.701 | 0.710 | 0.759 | 0.802 | 0.479 | 0.652 | LAW | 0.302 | 0.489 | 0.485 | 0.483 | 0.524 | 0.402 | 0.412 | 0.303 | 0.373 | 0.385 | 0.374 | 0.412 | 0.380 | 0.397 | 0.406 | 0.344 | 0.387 | 0.370 | 0.390 | 0.395 | 0.399 | 0.427 | 0.393 | 0.399 | 0.392 | 0.310 | 0.498 | 0.409 | 0.376 | 0.353 | 0.361 | 0.431 | 0.435 | 0.516 | 0.586 | 0.355 | 0.527 | CODE MODELS: TEST | codegemma-1.1-7b-it | CodeQwen1.5-7B-Chat | CodeQwen1.5-7B | CodeQwen1.5-7B | granite-8b-code-instruct | Qwen2.5-Coder-0.5B-32k-Instruct | Qwen2.5-Coder-1.5B-Instruct | Qwen2.5-3B-32k-Instruct | Qwen2.5-Coder-3B-Instruct | Qwen2.5-Coder-7B-Instruct | Qwen2.5-Coder-7B | Qwen2.5-Coder-14B-Instruct | Qwen2.5-Coder-14B | Qwen2.5-Coder-32B-Instruct | ---------------------------------------------|---------------------|---------------------|----------------|----------------|--------------------------|---------------------------------|-----------------------------|-------------------------|---------------------------|---------------------------|------------------|----------------------------|-------------------|----------------------------| params | 6.52B | 7.25B | 7.25B | 7.25B | 8.05B | 0.49403B | 1.54B | 3.09B | 3.09B | 7.62B | 7.62B | 14.77B | 14.77B | 32.76B | quant | Q6_K | Q6_K | Q6_K | Q8_0 | Q4_K_M | Q6_K | Q6_K | Q6_K | Q6_K | IQ4_XS | Q6_K | IQ4_XS | IQ4_XS | IQ4_XS | engine | llama.cpp version: 4150 | llama.cpp version: 4094 | llama.cpp version: 4132 | llama.cpp version: 4191 | llama.cpp version: 4080 | llama.cpp version: 4150 | llama.cpp version: 4150 | llama.cpp version: 4150 | llama.cpp version: 4150 | llama.cpp version: 4094 | llama.cpp version: 4132 | llama.cpp version: 4120 | llama.cpp version: 4150 | llama.cpp version: 4150 | ---------------------------------------------|---------------------|---------------------|----------------|----------------|--------------------------|---------------------------------|-----------------------------|-------------------------|---------------------------|---------------------------|------------------|----------------------------|-------------------|----------------------------| HUMANEVAL | 0.591 | 0.859 | 0.518 | 0.567 | 0.487 | 0.518 | 0.676 | 0.780 | 0.835 | 0.829 | 0.713 | 0.878 | 0.676 | 0.884 | HUMANEVALP | 0.475 | 0.701 | 0.414 | 0.445 | 0.365 | 0.432 | 0.567 | 0.682 | 0.719 | 0.707 | 0.579 | 0.756 | 0.536 | 0.756 | MBPP | 0.552 | 0.712 | 0.536 | 0.525 | 0.501 | 0.408 | 0.560 | 0.599 | 0.618 | 0.735 | 0.571 | 0.727 | 0.661 | 0.715 | MBPPP | 0.517 | 0.665 | 0.486 | 0.486 | 0.473 | 0.352 | 0.504 | 0.584 | 0.589 | 0.687 | 0.513 | 0.665 | 0.558 | 0.669 | HUMANEVALFIM | 0.060 | - | 0.414 | 0.475 | 0.402 | 0.518 | 0.524 | - | 0.634 | 0.493 | 0.591 | 0.829 | 0.518 | 0.890 | HUMANEVALX_cpp | 0.359 | 0.676 | 0.463 | 0.475 | 0.457 | 0.286 | 0.426 | 0.237 | 0.567 | 0.676 | 0.475 | 0.506 | 0.573 | 0.689 | HUMANEVALX_java | 0.469 | 0.774 | 0.591 | 0.609 | 0.524 | 0.512 | 0.609 | 0.615 | 0.743 | 0.798 | 0.652 | 0.201 | 0.762 | 0.841 | HUMANEVALX_js | 0.560 | 0.768 | 0.567 | 0.585 | 0.493 | 0.493 | 0.615 | 0.682 | 0.670 | 0.798 | 0.658 | 0.817 | 0.695 | 0.835 | HUMANEVALX | 0.463 | 0.739 | 0.540 | 0.556 | 0.491 | 0.430 | 0.550 | 0.512 | 0.660 | 0.758 | 0.595 | 0.508 | 0.676 | 0.788 | CRUXEVAL_input | 0.406 | 0.456 | 0.192 | 0.203 | 0.358 | 0.435 | 0.416 | 0.347 | 0.481 | 0.578 | 0.267 | 0.677 | 0.281 | 0.676 | CRUXEVAL_output | 0.368 | 0.363 | 0.363 | 0.363 | 0.322 | 0.278 | 0.332 | 0.311 | 0.413 | 0.507 | 0.435 | 0.577 | 0.422 | 0.610 | CRUXEVAL | 0.387 | 0.410 | 0.278 | 0.283 | 0.340 | 0.356 | 0.374 | 0.329 | 0.447 | 0.543 | 0.351 | 0.627 | 0.351 | 0.643 | CRUXEVALFIM_input | 0.213 | - | 0.206 | 0.210 | 0.171 | - | 0.155 | - | 0.208 | 0.322 | 0.300 | 0.421 | 0.346 | 0.515 | CRUXEVALFIM_output | 0.218 | - | 0.280 | 0.266 | 0.323 | - | 0.222 | - | 0.323 | 0.481 | 0.416 | 0.546 | 0.481 | 0.557 | CRUXEVALFIM | 0.216 | - | 0.243 | 0.238 | 0.247 | - | 0.188 | - | 0.266 | 0.401 | 0.358 | 0.483 | 0.413 | 0.536 | CODE | 0.350 | 0.554 | 0.336 | 0.342 | 0.348 | 0.394 | 0.368 | 0.449 | 0.453 | 0.548 | 0.428 | 0.593 | 0.458 | 0.648 |