BlogLLM Benchmark Scores as Published, Side by Side
MMLU-Pro: Results as Published
Every result the catalog holds for MMLU-Pro: 81 models from 13 developers, read from 23 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 TIGER-Lab (University of Waterloo, Yubo Wang and co-authors)Introduced 2024Data version 2026103001, as of 2026-10-30
MMLU-Pro tests language understanding and reasoning across many academic and professional subjects. It takes the earlier MMLU, removes trivial or noisy questions, adds harder reasoning-focused ones and widens the answer choices from four to ten, so guessing helps less. The score is accuracy over the question set.
MMLU-Pro
| Model | Value | Printed by | Setup as printed |
|---|---|---|---|
| GPT-5.4OpenAI, released 2026-03-05 | 87.5% | DeepSeek, DeepSeek-V4-Pro (preview) model cardchecked 2026-10-15 | Effort: xhigh |
| GPT-5.2OpenAI, released 2025-12-11 | 87.4% | Alibaba, Qwen3.5-397B-A17B model cardchecked 2026-10-15; printed on 1 more page | - |
| GPT-5.1OpenAI, released 2025-11-12 | 87% | Z.ai, GLM-4.7 model cardchecked 2026-10-15 | Effort: high |
| GPT-5OpenAI, released 2025-08-07 | 87.1% | Moonshot AI, Kimi K2 Thinking release pagechecked 2026-10-15; printed on 1 more page | Effort: high; Tools: none |
| GPT-5 miniOpenAI, released 2025-08-07 | 83.7% | Alibaba, Qwen3.5-122B-A10B model cardchecked 2026-10-15 | - |
| gpt-oss-120bOpenAI, released 2025-08-05 | 80.8% | Alibaba, Qwen3.5-122B-A10B model cardchecked 2026-10-15 | - |
| gpt-oss-20bOpenAI, released 2025-08-05 | 76.4% | NVIDIA, NVIDIA Nemotron 3.5 Lightning 30B-A3B model cardchecked 2026-10-19; printed on 1 more page | - |
| GPT-4.1OpenAI, released 2025-04-14 | 81.8% | Moonshot AI, Kimi K2 release pagechecked 2026-10-15 | - |
| GPT-4.5OpenAI, released 2025-02-27 | 86.1% | DeepSeek, DeepSeek-V3-0324 model cardchecked 2026-10-15 | - |
| o1-miniOpenAI, released 2024-09-12 | 80.3% | DeepSeek, DeepSeek-R1 model cardchecked 2026-10-15 | - |
| GPT-4oOpenAI, released 2024-05-13 | 72.6% | DeepSeek, DeepSeek-R1 model cardchecked 2026-10-15; printed on 1 more page | - |
| Claude Sonnet 4.6Anthropic, released 2026-02-17 | 87% | Microsoft, Microsoft AI: MAI-Thinking-1 technical reportchecked 2026-10-19 | Effort: max |
| Claude Opus 4.6Anthropic, released 2026-02-05 | 89.1% | DeepSeek, DeepSeek-V4-Pro (preview) model cardchecked 2026-10-15 | Effort: max |
| Claude Opus 4.5Anthropic, released 2025-11-24 | 89.5% | Alibaba, Qwen3.5-397B-A17B model cardchecked 2026-10-15; printed on 2 more pages | - |
| Claude Sonnet 4.5Anthropic, released 2025-09-29 | 87.5% | Moonshot AI, Kimi K2 Thinking release pagechecked 2026-10-15; printed on 1 more page | Effort: thinking; Tools: none |
| Claude Opus 4Anthropic, released 2025-05-22 | 86.6% | Moonshot AI, Kimi K2 release pagechecked 2026-10-15 | Effort: no extended thinking |
| Claude Sonnet 4Anthropic, released 2025-05-22 | 83.7% | Moonshot AI, Kimi K2 release pagechecked 2026-10-15 | Effort: no extended thinking |
| Claude 3.7 SonnetAnthropic, released 2025-02-24 | 80.7% | DeepSeek, DeepSeek-V3-0324 model cardchecked 2026-10-15; printed on 1 more page | - |
| Claude 3.5 SonnetAnthropic, released 2024-10-22 | 78% | DeepSeek, DeepSeek-R1 model cardchecked 2026-10-15 | - |
| Gemma 4 12BGoogle, released 2026-04-02 | 77.2% | Google, Gemma 4 model cardchecked 2026-10-15 | - |
| Gemma 4 26B A4BGoogle, released 2026-04-02 | 82.6% | Google, Gemma 4 model cardchecked 2026-10-15; printed on 2 more pages | - |
| Gemma 4 31BGoogle, released 2026-04-02 | 85.2% | Google, Gemma 4 model cardchecked 2026-10-15; printed on 2 more pages | - |
| Gemma 4 E2BGoogle, released 2026-04-02 | 60% | Google, Gemma 4 model cardchecked 2026-10-15 | - |
| Gemma 4 E4BGoogle, released 2026-04-02 | 69.4% | Google, Gemma 4 model cardchecked 2026-10-15 | - |
| Gemini 3.1 Pro PreviewGoogle, released 2026-02-19 | 91% | DeepSeek, DeepSeek-V4-Pro (preview) model cardchecked 2026-10-15 | Effort: high |
| Gemini 3 ProGoogle, released 2025-11-18 | 89.8% | Alibaba, Qwen3.5-397B-A17B model cardchecked 2026-10-15; printed on 2 more pages | - |
| Gemini 2.5 FlashGoogle, released 2025-05-20 | 79.4% | Moonshot AI, Kimi K2 release pagechecked 2026-10-15 | - |
| Gemma 3 27BGoogle, released 2025-03-12 | 67.6% | Google, Gemma 4 model cardchecked 2026-10-15 | Effort: no think |
| Llama 4 MaverickMeta, released 2025-04-05 | 80.5% | Meta, Meta Llama 4 model cardchecked 2026-10-15; printed on 1 more page | - |
| Llama 4 Maverick (pre-trained)Meta, released 2025-04-05 | 62.9% | Meta, Meta Llama 4 model cardchecked 2026-10-15 | - |
| Llama 4 ScoutMeta, released 2025-04-05 | 74.3% | Meta, Meta Llama 4 model cardchecked 2026-10-15 | - |
| Llama 4 Scout (pre-trained)Meta, released 2025-04-05 | 58.2% | Meta, Meta Llama 4 model cardchecked 2026-10-15 | - |
| Llama 3.3 70BMeta, released 2024-12-06 | 68.9% | Meta, Meta Llama 4 model cardchecked 2026-10-15 | - |
| Llama 3.1 405BMeta, released 2024-07-23 | 73.4% | Meta, Meta Llama 4 model cardchecked 2026-10-15 | - |
| Llama 3.1 405B (pre-trained)Meta, released 2024-07-23 | 61.6% | Meta, Meta Llama 4 model cardchecked 2026-10-15 | - |
| Llama 3.1 70B (pre-trained)Meta, released 2024-07-23 | 53.8% | Meta, Meta Llama 4 model cardchecked 2026-10-15 | - |
| DeepSeek-V4-Flash (Preview)DeepSeek, released 2026-04-24 | 86.2% | DeepSeek, DeepSeek-V4-Pro (preview) model cardchecked 2026-10-15; printed on 1 more page | Effort: max |
| 86.4% | DeepSeek, DeepSeek-V4-Pro (preview) model cardchecked 2026-10-15 | Effort: high | |
| 83% | DeepSeek, DeepSeek-V4-Pro (preview) model cardchecked 2026-10-15 | Effort: non-think | |
| DeepSeek-V4-Flash-BaseDeepSeek, released 2026-04-24 | 68.3% | DeepSeek, DeepSeek-V4-Pro (preview) model cardchecked 2026-10-15; printed on 1 more page | - |
| DeepSeek-V4-Pro (Preview)DeepSeek, released 2026-04-24 | 87.1% | DeepSeek, DeepSeek-V4-Pro (preview) model cardchecked 2026-10-15; printed on 1 more page | Effort: high |
| 82.9% | DeepSeek, DeepSeek-V4-Pro (preview) model cardchecked 2026-10-15 | Effort: non-think | |
| 87.5% | DeepSeek, DeepSeek-V4-Pro (preview) model cardchecked 2026-10-15 | Effort: max | |
| DeepSeek-V4-Pro-BaseDeepSeek, released 2026-04-24 | 73.5% | DeepSeek, DeepSeek-V4-Pro (preview) model cardchecked 2026-10-15; printed on 1 more page | - |
| DeepSeek-V3.2DeepSeek, released 2025-12-01 | 85% | Moonshot AI, Kimi K2.5 model cardchecked 2026-10-15; printed on 1 more page | - |
| DeepSeek-V3.2-BaseDeepSeek, released 2025-12-01 | 65.5% | DeepSeek, DeepSeek-V4-Pro (preview) model cardchecked 2026-10-15 | - |
| DeepSeek-V3.2-ExpDeepSeek, released 2025-09-29 | 85% | DeepSeek, DeepSeek-V3.2-Exp model cardchecked 2026-10-15; printed on 1 more page | Tools: none |
| DeepSeek-V3.1-TerminusDeepSeek, released 2025-09-22 | 85% | DeepSeek, DeepSeek-V3.1-Terminus model cardchecked 2026-10-15; printed on 1 more page | Tools: none |
| DeepSeek-V3.1DeepSeek, released 2025-08-21 | 84.8% | DeepSeek, DeepSeek-V3.1-Terminus model cardchecked 2026-10-15 | Tools: none |
| DeepSeek-R1-0528DeepSeek, released 2025-05-28 | 85% | DeepSeek, DeepSeek-R1-0528 model cardchecked 2026-10-15 | - |
| DeepSeek-V3-0324DeepSeek, released 2025-03-24 | 81.2% | DeepSeek, DeepSeek-V3-0324 model cardchecked 2026-10-15; printed on 2 more pages | - |
| DeepSeek-R1DeepSeek, released 2025-01-20 | 84% | DeepSeek, DeepSeek-R1 model cardchecked 2026-10-15; printed on 1 more page | - |
| DeepSeek-V3DeepSeek, released 2024-12-26 | 75.9% | DeepSeek, DeepSeek-V3-0324 model cardchecked 2026-10-15; printed on 1 more page | - |
| Qwen3.6-27BAlibaba, released 2026-04-22 | 86.2% | Alibaba, Qwen3.6-27B model cardchecked 2026-10-15 | - |
| Qwen3.6-35B-A3BAlibaba, released 2026-04-16 | 85.2% | Alibaba, Qwen3.6-35B-A3B model cardchecked 2026-10-15; printed on 2 more pages | - |
| Qwen3.5-122B-A10BAlibaba, released 2026-02-24 | 86.7% | Alibaba, Qwen3.5-122B-A10B model cardchecked 2026-10-15 | - |
| Qwen3.5-27BAlibaba, released 2026-02-24 | 86.1% | Alibaba, Qwen3.5-122B-A10B model cardchecked 2026-10-15; printed on 2 more pages | - |
| Qwen3.5-35B-A3BAlibaba, released 2026-02-24 | 85.3% | Alibaba, Qwen3.5-122B-A10B model cardchecked 2026-10-15; printed on 1 more page | - |
| Qwen3.5-397B-A17BAlibaba, released 2026-02-16 | 87.8% | Alibaba, Qwen3.5-397B-A17B model cardchecked 2026-10-15; printed on 2 more pages | - |
| Qwen3-30B-A3B-Thinking-2507Alibaba, released 2025-07-30 | 80.9% | NVIDIA, NVIDIA Nemotron 3 Nano 30B-A3B model cardchecked 2026-10-15 | Effort: thinking |
| Qwen3-235B-A22BAlibaba, released 2025-04-29 | 84.4% | Alibaba, Qwen3.5-122B-A10B model cardchecked 2026-10-15; printed on 1 more page | - |
| Qwen-MaxAlibaba | 76.1% | DeepSeek, DeepSeek-V3-0324 model cardchecked 2026-10-15 | - |
| Qwen3-Max-ThinkingAlibaba | 85.7% | Alibaba, Qwen3.5-397B-A17B model cardchecked 2026-10-15 | - |
| Kimi K2.6Moonshot AI, released 2026-04-20 | 87.1% | DeepSeek, DeepSeek-V4-Pro (preview) model cardchecked 2026-10-15; printed on 1 more page | Effort: thinking |
| Kimi K2.5Moonshot AI, released 2026-01-27 | 87.1% | Moonshot AI, Kimi K2.5 model cardchecked 2026-10-15; printed on 1 more page | - |
| Kimi K2 ThinkingMoonshot AI, released 2025-11-06 | 84.6% | Moonshot AI, Kimi K2 Thinking release pagechecked 2026-10-15; printed on 1 more page | Effort: thinking; Tools: none |
| Kimi K2 Instruct 0905Moonshot AI, released 2025-09-05 | 81.9% | Moonshot AI, Kimi K2 Thinking release pagechecked 2026-10-15 | Tools: none |
| Kimi K2 BaseMoonshot AI, released 2025-07-11 | 69.2% | Xiaomi, Xiaomi MiMo-V2.5-Pro model cardchecked 2026-10-15 | Harness: 5-shot |
| Kimi K2 InstructMoonshot AI, released 2025-07-11 | 81.1% | Moonshot AI, Kimi K2 release pagechecked 2026-10-15 | - |
| GLM-5.1Z.ai, released 2026-04-07 | 86% | DeepSeek, DeepSeek-V4-Pro (preview) model cardchecked 2026-10-15; printed on 1 more page | Effort: thinking |
| GLM-4.7Z.ai, released 2025-12-22 | 84.3% | Z.ai, GLM-4.7 model cardchecked 2026-10-15 | - |
| GLM-4.6Z.ai, released 2025-09-30 | 83.2% | Z.ai, GLM-4.7 model cardchecked 2026-10-15 | - |
| Mistral Small 4Mistral AI, released 2026-03-16 | 73.5% | Mistral AI, Mistral Small 4 model cardchecked 2026-10-15 | Effort: none |
| 78% | Mistral AI, Mistral Small 4 model cardchecked 2026-10-15 | Effort: high | |
| Mistral Large 3Mistral AI, released 2025-12-02 | 80.9% | Mistral AI, Mistral Small 4 model cardchecked 2026-10-15 | - |
| Mistral Medium 3.1Mistral AI, released 2025-08-12 | 76.8% | Mistral AI, Mistral Small 4 model cardchecked 2026-10-15 | - |
| Mistral Small 3.2Mistral AI, released 2025-06-20 | 69% | Mistral AI, Mistral Small 4 model cardchecked 2026-10-15 | - |
| Mistral Medium 3Mistral AI, released 2025-05-07 | 77.2% | Mistral AI, Medium is the new largechecked 2026-10-15 | - |
| MiniMax M2.7MiniMax, released 2026-03-18 | 81.9% | NVIDIA, NVIDIA Nemotron 3 Ultra 550B-A55B model cardchecked 2026-10-15 | - |
| Nemotron 3.5 Lightning 30B-A3BNVIDIA, released 2026-08-11 | 81.94% | NVIDIA, NVIDIA Nemotron 3.5 Lightning 30B-A3B model cardchecked 2026-10-19 | - |
| Nemotron 3 UltraNVIDIA, released 2026-06-04 | 86.8% | NVIDIA, NVIDIA Nemotron 3 Ultra 550B-A55B model cardchecked 2026-10-15 | - |
| Nemotron 3 SuperNVIDIA, released 2026-03-11 | 83.89% | NVIDIA, NVIDIA Nemotron 3.5 Lightning 30B-A3B model cardchecked 2026-10-19 | - |
| Nemotron 3 Nano 30B-A3BNVIDIA, released 2025-12-15 | 78.46% | NVIDIA, NVIDIA Nemotron 3.5 Lightning 30B-A3B model cardchecked 2026-10-19; printed on 1 more page | - |
| MAI-Thinking-1Microsoft, released 2026-08-12 | 85% | Microsoft, Microsoft AI: MAI-Thinking-1 technical reportchecked 2026-10-19 | - |
| MiMo-V2.5 BaseXiaomi, released 2026-04-27 | 65.8% | Xiaomi, Xiaomi MiMo-V2.5-Pro model cardchecked 2026-10-15 | Harness: 5-shot |
| MiMo-V2.5-Pro BaseXiaomi, released 2026-04-27 | 68.5% | Xiaomi, Xiaomi MiMo-V2.5-Pro model cardchecked 2026-10-15 | Harness: 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.