| benchmark,slug,category,description,max_score,models_tested,methodology |
| MMLU,mmlu,Knowledge,"Massive Multitask Language Understanding - 57 subjects from STEM to humanities",100,380,multiple_choice |
| MMLU-Pro,mmlu-pro,Knowledge,"Harder MMLU with 10 answer choices and more reasoning-heavy questions",100,245,multiple_choice |
| HumanEval,humaneval,Coding,"Python function completion from docstrings - 164 problems",100,340,pass_at_1 |
| MBPP,mbpp,Coding,"Mostly Basic Programming Problems - 974 crowd-sourced Python tasks",100,310,pass_at_1 |
| SWE-bench Verified,swe-bench-verified,Coding,"Real GitHub issue resolution on popular Python repos",100,180,execution |
| GPQA Diamond,gpqa-diamond,Science,"Graduate-level questions in physics chemistry and biology",100,290,multiple_choice |
| MATH,math,Mathematics,"Competition mathematics across 7 difficulty levels",100,350,exact_match |
| GSM8K,gsm8k,Mathematics,"Grade school math word problems - 8.5K examples",100,370,exact_match |
| ARC-Challenge,arc-challenge,Reasoning,"AI2 Reasoning Challenge - grade-school science questions",100,360,multiple_choice |
| HellaSwag,hellaswag,Reasoning,"Sentence completion requiring commonsense reasoning",100,355,multiple_choice |
| WinoGrande,winogrande,Reasoning,"Pronoun resolution requiring world knowledge",100,340,accuracy |
| TruthfulQA,truthfulqa,Safety,"Measures tendency to generate false but plausible answers",100,320,mc_accuracy |
| BBH,bbh,Reasoning,"BIG-Bench Hard - 23 challenging tasks from BIG-Bench",100,300,exact_match |
| DROP,drop,Reading,"Discrete Reasoning Over Paragraphs - reading comprehension with math",100,280,f1_score |
| MGSM,mgsm,Multilingual,"Multilingual Grade School Math in 10 languages",100,220,exact_match |
| IFEval,ifeval,Instruction,"Instruction Following Evaluation - verifiable instruction constraints",100,260,strict_accuracy |
| MuSR,musr,Reasoning,"Multi-Step Soft Reasoning - complex multi-hop problems",100,200,accuracy |
| MMMU,mmmu,Multimodal,"Massive Multi-discipline Multimodal Understanding",100,120,accuracy |
| LiveCodeBench,livecodebench,Coding,"Contamination-free coding benchmark from recent competitions",100,190,pass_at_1 |
| Aider Polyglot,aider-polyglot,Coding,"Multi-language code editing benchmark using Aider framework",100,160,edit_accuracy |
| Arena ELO,arena-elo,Human Preference,"Chatbot Arena crowdsourced human preference ratings",2000,280,elo_rating |
| MT-Bench,mt-bench,Conversation,"Multi-turn conversation quality scored by GPT-4",10,310,gpt4_judge |
| AlpacaEval 2.0,alpacaeval-2,Instruction,"Length-controlled win rate against GPT-4 Turbo baseline",100,250,lc_win_rate |
| SimpleQA,simpleqa,Factuality,"Short-form factual question answering with verifiable answers",100,230,exact_match |
| BFCL,bfcl,Tool Use,"Berkeley Function Calling Leaderboard - API and tool use",100,180,ast_accuracy |
| Tau-bench,tau-bench,Agentic,"Real-world agent task completion across airline and retail domains",100,140,task_success |
| WebArena,webarena,Agentic,"Web browsing agent tasks on realistic websites",100,90,task_completion |
| AIME 2024,aime-2024,Mathematics,"American Invitational Mathematics Examination problems",100,200,exact_match |
| AMC 2023,amc-2023,Mathematics,"American Mathematics Competition problems",100,220,exact_match |
| Codeforces,codeforces,Coding,"Competitive programming problems rated by difficulty",3000,150,elo_rating |
| RULER,ruler,Long Context,"Synthetic long-context retrieval and reasoning tasks",100,110,accuracy |
| NIAH,niah,Long Context,"Needle in a Haystack - information retrieval in long documents",100,130,recall |
| LongBench,longbench,Long Context,"Real-world long document understanding tasks",100,120,f1_score |
| Chatbot Arena Hard,arena-hard,Human Preference,"Challenging subset of Arena prompts with high separability",100,210,win_rate |
| NATURAL,natural,Tool Use,"Natural language to API call translation",100,160,accuracy |
| ToolBench,toolbench,Tool Use,"Large-scale tool use benchmark with 16K real APIs",100,130,pass_rate |
| MedQA,medqa,Domain,"US Medical Licensing Exam style questions",100,240,accuracy |
| LegalBench,legalbench,Domain,"Legal reasoning across 162 tasks",100,180,accuracy |
| FinanceBench,financebench,Domain,"Financial analysis and reasoning from SEC filings",100,150,accuracy |
| CLRS,clrs,Reasoning,"Classical algorithm reasoning and step tracing",100,100,accuracy |
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