Massive Multitask Language Understanding covers 57 subjects across STEM, the humanities, social sciences, and more.
Beta version: *Information might not be fully accurate. Please report any discrepancies.
Beta version: *Information might not be fully accurate. Please report any discrepancies.
Latest Data
2026-02-20
Context Window
200k
tokens
Input Cost
$5.00
per 1M tokens
Output Cost
$25.00
per 1M tokens
Cache Cost
$0.50 / $6.25
read / write per 1M
Parameters
Unknown
model footprint
1 Variants Available
Performance Analysis // Verified Benchmarks
Massive Multitask Language Understanding covers 57 subjects across STEM, the humanities, social sciences, and more.
Resolving real-world GitHub issues. Verified subset ensures solvable issues.
Contamination-free, continuously updated reasoning benchmark.
Artificial Analysis aggregate intelligence index.
A more robust and harder version of MMLU, focusing on complex reasoning and STEM subjects.
Humanity's Last Exam - Hard reasoning benchmark without tools.
Artificial Analysis aggregate math capability index.
Contamination-free coding benchmark using recent problems.
Artificial Analysis aggregate coding capability index.
Graduate-Level Google-Proof Q&A Benchmark.
Artificial Analysis Long Context Reasoning benchmark. Evaluates reasoning over long contexts.
Artificial Analysis IFBench. Evaluates precise instruction following with constraints.
Evaluates model omniscience and factual reliability across diverse domains.
American Invitational Mathematics Examination 2025 problems.
Precision of fine-grained facts in long-form biographies.
Hard split of Terminal-Bench focused on tougher terminal workflows.
Telecom-domain tool-use and workflow benchmark.
Scientific programming benchmark for code synthesis and correctness.