Benchmark profile

Artificial Analysis MMMU-Pro (AA-MMMU-Pro)

A display-only Artificial Analysis MMMU-Pro score.

Data verified July 23, 2026

Benchmark score on AA-MMMU-Pro — July 23, 2026

BenchLM mirrors the published score view for AA-MMMU-Pro. Gemini 3.5 Flash leads the public snapshot at 84.3% , followed by GPT-5.6 Sol (83.4%) and Gemini 3.6 Flash (83.2%). BenchLM does not use these results to rank models overall.

1Closed

Gemini 3.5 Flash

Google

gemini-3-5-flash

84.3%

Overall 64.75Context 1M

2Closed

GPT-5.6 Sol

OpenAI

gpt-5-6-sol

83.4%

Overall 81.96Context 1M

3Closed

Gemini 3.6 Flash

Google

gemini-3-6-flash

83.2%

Overall —Context 1M

91 modelsMultimodal & GroundedCurrentDisplay onlyUpdated July 23, 2026

Benchmark score table (91 models)

Score

Gemini 3.5 FlashGoogle · Closed

84.3%

GPT-5.6 SolOpenAI · Closed

83.4%

Gemini 3.6 FlashGoogle · Closed

83.2%

Gemini 3.1 ProGoogle · Closed

82.4%

GPT-5.6 TerraOpenAI · Closed

80.7%

Kimi K3Moonshot AI · Closed

80.5%

Qwen3.7 PlusAlibaba · Closed

80.5%

Muse SparkMeta · Closed

80.5%

Grok 4.5xAI · Closed

80.4%

Gemini 3 ProGoogle · Closed

80.2%

GPT-5.5OpenAI · Closed

79.9%

Kimi K2.6Moonshot AI · Open weight

79.4%

Gemini 3.5 Flash-LiteGoogle · Closed

79.0%

Claude Opus 4.7 (Adaptive)Anthropic · Closed

78.8%

GPT-5.6 LunaOpenAI · Closed

78.6%

MiniMax M3MiniMax · Open weight

78.6%

Gemini 3 FlashGoogle · Closed

78.6%

GPT-5.3 CodexOpenAI · Closed

78.5%

GPT-5.3-Codex-SparkOpenAI · Closed

78.5%

GPT-5.4OpenAI · Closed

78.4%

Grok 4.3xAI · Closed

78.1%

Qwen3.6 PlusAlibaba · Closed

78.0%

Claude Sonnet 5Anthropic · Closed

77.3%

Qwen3.5 397BAlibaba · Open weight

77.3%

Qwen3.5 397B (Reasoning)Alibaba · Open weight

77.3%

Claude Opus 4.7Anthropic · Closed

76.4%

GPT-5.2-CodexOpenAI · Closed

76.3%

GPT-5.1OpenAI · Closed

75.5%

Gemini 3.1 Flash-LiteGoogle · Closed

75.5%

Kimi K2.5Moonshot AI · Open weight

75.4%

Kimi K2.5 (Reasoning)Moonshot AI · Closed

75.4%

Claude Opus 4.6 (Adaptive)Anthropic · Closed

75.4%

Step 3.7 FlashStepFun · Open weight

75.3%

Qwen3.5-122B-A10BAlibaba · Open weight

75.0%

Qwen3.5-27BAlibaba · Open weight

75.0%

Qwen3.6-35B-A3BAlibaba · Open weight

75.0%

Gemini 2.5 ProGoogle · Closed

74.9%

Qwen3.6-27BAlibaba · Open weight

74.6%

GPT-5 (medium)OpenAI · Closed

74.3%

GPT-5 (high)OpenAI · Closed

74.2%

Claude Opus 4.5 ThinkingAnthropic · Closed

74.0%

InklingThinking Machines Lab · Open weight

73.5%

Gemma 4 31BGoogle · Open weight

73.4%

GPT-5.4 miniOpenAI · Closed

73.3%

GLM-5V-TurboZ.AI · Closed

72.8%

Qwen3.5-35B-A3BAlibaba · Open weight

72.7%

Claude Opus 4.6Anthropic · Closed

72.5%

GPT-5.1-Codex-MaxOpenAI · Closed

72.5%

GPT-5.1-CodexOpenAI · Closed

72.5%

Claude Opus 4.5Anthropic · Closed

71.2%

Claude Sonnet 4.6Anthropic · Closed

70.6%

o3OpenAI · Closed

70.1%

GPT-5 miniOpenAI · Closed

70.1%

MiMo-V2-OmniXiaomi · Closed

69.9%

Gemma 4 12BGoogle · Open weight

69.7%

Gemma 4 26B A4BGoogle · Open weight

69.2%

Grok 4xAI · Closed

68.8%

Claude 4.1 Opus ThinkingAnthropic · Closed

67.9%

Gemini 2.5 FlashGoogle · Closed

65.5%

GPT-5.4 nanoOpenAI · Closed

65.4%

Mistral Medium 3.5 128BMistral · Open weight

64.9%

Grok 4.1 Fast (Reasoning)xAI · Closed

63.3%

Command A+Cohere · Open weight

63.2%

Claude 4 SonnetAnthropic · Closed

62.4%

Llama 4 MaverickMeta · Open weight

62.1%

Grok 4 Fast (Reasoning)xAI · Closed

61.8%

GPT-4.1OpenAI · Closed

61.2%

GPT-5 nanoOpenAI · Closed

61.0%

GPT-4.1 miniOpenAI · Closed

58.7%

Mistral Small 4Mistral · Open weight

56.8%

Mistral Small 4 (Reasoning)Mistral · Open weight

56.8%

Mistral Large 3Mistral · Closed

55.7%

Gemini 1.5 ProGoogle · Closed

55.0%

Nemotron 3 Nano Omni 30B A3BNVIDIA · Open weight

53.2%

Mistral Medium 3Mistral · Closed

53.0%

Llama 4 ScoutMeta · Open weight

52.9%

Gemma 4 E4BGoogle · Open weight

51.4%

Ministral 3 14B (Reasoning)Mistral · Open weight

49.8%

Ministral 3 14BMistral · Open weight

49.8%

Grok 4.1 FastxAI · Closed

48.4%

Gemma 3 27BGoogle · Open weight

48.0%

Ministral 3 8B (Reasoning)Mistral · Open weight

46.0%

Ministral 3 8BMistral · Open weight

46.0%

Gemma 4 E2BGoogle · Open weight

44.6%

Nova ProAmazon · Closed

44.3%

GPT-4o miniOpenAI · Closed

41.5%

GPT-4.1 nanoOpenAI · Closed

40.1%

Ministral 3 3B (Reasoning)Mistral · Open weight

38.1%

Ministral 3 3BMistral · Open weight

38.1%

Claude 3 HaikuAnthropic · Closed

30.8%

LFM2.5-VL-1.6B-ExtractLiquidAI · Open weight

26.5%

The published AA-MMMU-Pro snapshot places Gemini 3.5 Flash first at 84.3%. The third row is 1.1 points behind. The broader top-10 range is 4.1 points, so many of the published results sit in a relatively narrow band.

91 models have been evaluated on AA-MMMU-Pro. The benchmark falls in the Multimodal & Grounded category. This category carries a 12% weight in BenchLM.ai's overall scoring system. AA-MMMU-Pro is currently displayed for reference but excluded from the scoring formula, so it does not directly affect overall rankings.

About AA-MMMU-Pro

Year

2026

Tasks

Multimodal academic reasoning

Format

Image + text question answering

Difficulty

Frontier multimodal

BenchLM stores the Artificial Analysis MMMU-Pro result separately from the weighted MMMU-Pro lane so AA refreshes remain display-only.

Artificial Analysis MMMU-Pro Benchmark Leaderboard

BenchLM freshness & provenance

Version

AA-MMMU-Pro 2026

Refresh cadence

Quarterly

Staleness state

Current

Question availability

Public benchmark set

CurrentDisplay only

BenchLM uses freshness metadata to decide whether a benchmark should still be treated as a strong differentiator, a benchmark to watch, or a display-only reference. For the full scoring policy, see the BenchLM methodology page.

FAQ

What does AA-MMMU-Pro measure?

A display-only Artificial Analysis MMMU-Pro score.

Which model scores highest on AA-MMMU-Pro?

Gemini 3.5 Flash by Google currently leads with a score of 84.3% on AA-MMMU-Pro.

How many models are evaluated on AA-MMMU-Pro?

91 AI models have been evaluated on AA-MMMU-Pro on BenchLM.

Compare Top Models on AA-MMMU-Pro

Gemini 3.5 Flash vs GPT-5.6 Sol GPT-5.6 Sol vs Gemini 3.6 Flash Gemini 3.6 Flash vs Gemini 3.1 Pro Gemini 3.1 Pro vs GPT-5.6 Terra

Last updated: July 23, 2026 · BenchLM version AA-MMMU-Pro 2026

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