Mixtral 8x22B

Crowdsourced pairwise human preference rankings of LLM responses. Higher Elo means more frequently preferred by users.

Harder version of MMLU testing knowledge across 57 academic subjects; reduces guessing-friendly answers.

Graduate-level Google-proof Q&A in physics, chemistry, and biology. Diamond subset is the hardest tier with PhD-validated answers.

500 high-school competition math problems requiring multi-step solutions. Scored on final-answer correctness.

American Invitational Mathematics Examination 2024 problems. Three-digit integer answers; very hard for non-reasoning models.

164 hand-written Python programming problems scored by passing unit tests. Saturated for frontier models.

Verifiable instruction-following benchmark; 25 categories of strict formatting / structural directives.

Long-context retrieval and reasoning suite. We report the 128k token effective-context score.

Saturation-resistant composite capability score stitched together from ~40 underlying benchmarks using Item Response Theory. Each benchmark is weighted by its fitted difficulty and discriminative slope, so doing well on hard, contamination-resistant evals (FrontierMath, ARC-AGI 2, Humanity's Last Exam) moves the score and saturated benchmarks contribute almost nothing. Imported per-model from Epoch AI's published index; we anchor it to the same min-max scale we use for every other benchmark so it's directly weightable in scenarios.