BlogLLM Benchmark Scores as Published, Side by Side

MMLU: Results as Published

Every result the catalog holds for MMLU: 23 models from 8 developers, read from 5 pages. Each number is as printed by the company named beside it; nothing is ranked or rescored. Models are listed by developer, newest first.

Area General Knowledge and ReasoningMaintainer Dan Hendrycks and co-authors (UC Berkeley)Introduced 2020Data version 2026103001, as of 2026-10-30

MMLU tests knowledge across 57 subjects, from elementary mathematics to law, with multiple-choice questions. The score is accuracy, usually with a stated number of few-shot examples.

MMLU

ModelValuePrinted bySetup as printed
GPT-4.1OpenAI, released 2025-04-1490.4%Moonshot AI, Kimi K2 release pagechecked 2026-10-15-
o1OpenAI, released 2024-12-1791.8%DeepSeek, DeepSeek-R1 model cardchecked 2026-10-15-
o1-miniOpenAI, released 2024-09-1285.2%DeepSeek, DeepSeek-R1 model cardchecked 2026-10-15-
GPT-4oOpenAI, released 2024-05-1387.2%DeepSeek, DeepSeek-R1 model cardchecked 2026-10-15-
Claude Opus 4Anthropic, released 2025-05-2292.9%Moonshot AI, Kimi K2 release pagechecked 2026-10-15Effort: no extended thinking
Claude Sonnet 4Anthropic, released 2025-05-2291.5%Moonshot AI, Kimi K2 release pagechecked 2026-10-15Effort: no extended thinking
Claude 3.5 SonnetAnthropic, released 2024-10-2288.3%DeepSeek, DeepSeek-R1 model cardchecked 2026-10-15-
Gemini 2.5 FlashGoogle, released 2025-05-2090.1%Moonshot AI, Kimi K2 release pagechecked 2026-10-15-
Llama 4 Maverick (pre-trained)Meta, released 2025-04-0585.5%Meta, Meta Llama 4 model cardchecked 2026-10-15-
Llama 4 Scout (pre-trained)Meta, released 2025-04-0579.6%Meta, Meta Llama 4 model cardchecked 2026-10-15-
Llama 3.1 405B (pre-trained)Meta, released 2024-07-2385.2%Meta, Meta Llama 4 model cardchecked 2026-10-15-
Llama 3.1 70B (pre-trained)Meta, released 2024-07-2379.3%Meta, Meta Llama 4 model cardchecked 2026-10-15-
DeepSeek-V4-Flash-BaseDeepSeek, released 2026-04-2488.7%DeepSeek, DeepSeek-V4-Pro (preview) model cardchecked 2026-10-15; printed on 1 more page-
DeepSeek-V4-Pro-BaseDeepSeek, released 2026-04-2490.1%DeepSeek, DeepSeek-V4-Pro (preview) model cardchecked 2026-10-15; printed on 1 more page-
DeepSeek-V3.2-BaseDeepSeek, released 2025-12-0187.8%DeepSeek, DeepSeek-V4-Pro (preview) model cardchecked 2026-10-15-
DeepSeek-V3-0324DeepSeek, released 2025-03-2489.4%Moonshot AI, Kimi K2 release pagechecked 2026-10-15-
DeepSeek-R1DeepSeek, released 2025-01-2090.8%DeepSeek, DeepSeek-R1 model cardchecked 2026-10-15-
DeepSeek-V3DeepSeek, released 2024-12-2688.5%DeepSeek, DeepSeek-R1 model cardchecked 2026-10-15-
Qwen3-235B-A22BAlibaba, released 2025-04-2987%Moonshot AI, Kimi K2 release pagechecked 2026-10-15Effort: non-thinking
Kimi K2 BaseMoonshot AI, released 2025-07-1187.8%Xiaomi, Xiaomi MiMo-V2.5-Pro model cardchecked 2026-10-15Harness: 5-shot
Kimi K2 InstructMoonshot AI, released 2025-07-1189.5%Moonshot AI, Kimi K2 release pagechecked 2026-10-15-
MiMo-V2.5 BaseXiaomi, released 2026-04-2786.3%Xiaomi, Xiaomi MiMo-V2.5-Pro model cardchecked 2026-10-15Harness: 5-shot
MiMo-V2.5-Pro BaseXiaomi, released 2026-04-2789.4%Xiaomi, Xiaomi MiMo-V2.5-Pro model cardchecked 2026-10-15Harness: 5-shot

Every number here is read from the same catalog file as the benchmark table, data version 2026103001, and is the number the table shows for that model and test. Where one page printed a model under several setups, each value is listed. The catalog is public in armanobosyan/sugra-llm-benchmarks; a wrong number can be reported from the table, with Report an error under the value, or as an issue in that repository.