AI EVALUATION, IN CONTEXT.BY EQUALITY MACHINE

Model reports

MMLU-Pro

Static closed-set multiple choice; contamination risk rises over time.

Evaluation context and evidence

Source
Model reports
Publisher
Not recorded
Benchmark release
2024-06-03
Collected
Not recorded
Modality
Not recorded

These are source-reported observations, not independent reruns by this site. Check the task version, evaluation protocol, unit and reporting date before comparing models. Results from different setups are not a universal ranking.

Original sources

Reported results 8

Shown in source observation order, not ranked. Dates retain the precision provided by the source.

ModelValueUnitProtocolReported date and basisSource
DeepSeek-R184.0percentEM2025-01-22 · document_publicationDeepSeek-R1
DeepSeek-V375.9percentEM, 8K output limit2024-12-27 · document_publicationDeepSeek-V3
DeepSeek-V4-Pro82.9percentnon-think2026-04-22 · document_publicationDeepSeek-V4-Pro
DeepSeek-V4-Pro87.1percentthink high2026-04-22 · document_publicationDeepSeek-V4-Pro
DeepSeek-V4-Pro87.5percentthink max2026-04-22 · document_publicationDeepSeek-V4-Pro
DeepSeek-V4-Flash87.5percentthink max2026-06-25 · document_publicationDeepSeek-V4
Gemma 4 (31B)85.2percentas reported2026-03-11 · document_publicationGemma 4 (31B)
Qwen3.5-397B-A17B87.8percentthinking (temp 0.6, top_p 0.95, top_k 20)2026-02-16 · document_publicationQwen3.5-397B-A17B