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BenchLM

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

Data verified 34 confirmed releases in the last 30 daysFollow model changes

An Artificial Analysis MMMU-Pro score.

Top models on AA-MMMU-Pro — September 27, 2026

As of September 27, 2026, Claude Opus 5.5 leads the AA-MMMU-Pro leaderboard with 87.7% , followed by GPT-6 Astra (86.9%) and Gemini 3.8 Flash (85.6%).

110 modelsMultimodal & Grounded15% of category scoreCurrentUpdated September 27, 2026

Leaderboard (110 models)

Score
1
Claude Opus 5.5Anthropic · Closed
87.7%
2
GPT-6 AstraOpenAI · Closed
86.9%
3
Gemini 3.8 FlashGoogle · Closed
85.6%
4
Gemini 3.7 FlashGoogle · Closed
85.5%
5
Claude Opus 5Anthropic · Closed
84.7%
6
Gemini 3.5 FlashGoogle · Closed
84.3%
7
GPT-5.6 SolOpenAI · Closed
83.4%
8
GPT-6 SolOpenAI · Closed
83.3%
9
Gemini 3.6 FlashGoogle · Closed
83.2%
10
Qwen3.8 Max PreviewAlibaba · Closed
82.8%
11
Gemini 3.1 ProGoogle · Closed
82.4%
12
GPT-5.6 TerraOpenAI · Closed
80.7%
13
Kimi K3Moonshot AI · Closed
80.5%
14
Qwen3.7 PlusAlibaba · Closed
80.5%
15
Muse SparkMeta · Closed
80.5%
16
Grok 4.5xAI · Closed
80.4%
17
Gemini 3 ProGoogle · Closed
80.2%
18
GPT-5.5OpenAI · Closed
79.9%
19
Qwen3.8-Flash-NextAlibaba · Open weight
79.8%
20
Kimi K2.6Moonshot AI · Open weight
79.4%
21
Apodex 1.1Apodex · Closed
79.2%
22
Apodex 1.1 MiniApodex · Open weight
79.2%
23
Ling 3.0 Flash VLInclusionAI · Open weight
79.0%
24
Gemini 3.5 Flash-LiteGoogle · Closed
79.0%
25
Claude Opus 4.7 (Adaptive)Anthropic · Closed
78.8%
26
GPT-5.6 LunaOpenAI · Closed
78.6%
27
MiniMax M3MiniMax · Open weight
78.6%
28
Gemini 3 FlashGoogle · Closed
78.6%
29
GPT-5.3 CodexOpenAI · Closed
78.5%
30
GPT-5.3-Codex-SparkOpenAI · Closed
78.5%
31
GPT-5.4OpenAI · Closed
78.4%
32
Grok 4.3xAI · Closed
78.1%
33
Qwen3.6 PlusAlibaba · Closed
78.0%
34
Claude Sonnet 5Anthropic · Closed
77.3%
35
DeepSeek V4.1 FlashDeepSeek · Open weight
77.0%
36
Step 5 PreviewStepFun · Closed
76.4%
37
Claude Opus 4.7Anthropic · Closed
76.4%
38
GPT-5.2-CodexOpenAI · Closed
76.3%
39
Qwen3.8-27BAlibaba · Open weight
76.3%
40
GPT-5.1OpenAI · Closed
75.5%
41
GPT-6 LunaOpenAI · Closed
75.5%
42
Kimi K2.5Moonshot AI · Open weight
75.4%
43
Kimi K2.5 (Reasoning)Moonshot AI · Closed
75.4%
44
Claude Opus 4.6 (Adaptive)Anthropic · Closed
75.4%
45
Step 3.7 FlashStepFun · Open weight
75.3%
46
Qwen3.5-27BAlibaba · Open weight
75.0%
47
Qwen3.5-122B-A10BAlibaba · Open weight
75.0%
48
Qwen3.6-35B-A3BAlibaba · Open weight
75.0%
49
Gemini 2.5 ProGoogle · Closed
74.9%
50
Qwen3.6-27BAlibaba · Open weight
74.6%
51
Muse Glimmer 30BMeta · Open weight
74.3%
52
GPT-5 (medium)OpenAI · Closed
74.3%
53
GPT-5 (high)OpenAI · Closed
74.2%
54
Inkling-SmallThinking Machines Lab · Open weight
74.0%
55
Claude Opus 4.5 ThinkingAnthropic · Closed
74.0%
56
InklingThinking Machines Lab · Open weight
73.5%
57
Gemma 4 31BGoogle · Open weight
73.4%
58
GPT-5.4 miniOpenAI · Closed
73.3%
59
GLM-5V-TurboZ.AI · Closed
72.8%
60
Qwen3.5-35B-A3BAlibaba · Open weight
72.7%
61
Claude Opus 4.6Anthropic · Closed
72.5%
62
GPT-5.1-CodexOpenAI · Closed
72.5%
63
GPT-5.1-Codex-MaxOpenAI · Closed
72.5%
64
Claude Opus 4.5Anthropic · Closed
71.2%
65
Claude Sonnet 4.6Anthropic · Closed
70.6%
66
o3OpenAI · Closed
70.1%
67
GPT-5 miniOpenAI · Closed
70.1%
68
MiMo-V2-OmniXiaomi · Closed
69.9%
69
Gemma 4 12BGoogle · Open weight
69.7%
70
Gemma 4 26B A4BGoogle · Open weight
69.2%
71
Grok 4xAI · Closed
68.8%
72
Claude 4.1 Opus ThinkingAnthropic · Closed
67.9%
73
Gemini 2.5 FlashGoogle · Closed
65.5%
74
GPT-5.4 nanoOpenAI · Closed
65.4%
75
Mistral Medium 3.5 128BMistral · Open weight
64.9%
76
63.3%
77
Command A+Cohere · Open weight
63.2%
78
Claude 4 SonnetAnthropic · Closed
62.4%
79
Llama 4 MaverickMeta · Open weight
62.1%
80
61.8%
81
GPT-4.1OpenAI · Closed
61.2%
82
GPT-5 nanoOpenAI · Closed
61.0%
83
Qwen3-Omni-30B-A3B-ThinkingAlibaba · Open weight
60.2%
84
GPT-4.1 miniOpenAI · Closed
58.7%
85
Mistral Small 4Mistral · Open weight
56.8%
86
Mistral Small 4 (Reasoning)Mistral · Open weight
56.8%
87
Mistral Large 3Mistral · Closed
55.7%
88
Qwen3-Omni-30B-A3B-InstructAlibaba · Open weight
55.5%
89
Gemini 1.5 ProGoogle · Closed
55.0%
90
Nemotron 3 Nano Omni 30B A3BNVIDIA · Open weight
53.2%
91
Mistral Medium 3Mistral · Closed
53.0%
92
Llama 4 ScoutMeta · Open weight
52.9%
93
Qwen3.5 397BAlibaba · Open weight
52.7%
94
Qwen3.5 397B (Reasoning)Alibaba · Open weight
52.7%
95
Gemma 4 E4BGoogle · Open weight
51.4%
96
Ministral 3 14B (Reasoning)Mistral · Open weight
49.8%
97
Ministral 3 14BMistral · Open weight
49.8%
98
Grok 4.1 FastxAI · Closed
48.4%
99
Gemma 3 27BGoogle · Open weight
48.0%
100
Ministral 3 8B (Reasoning)Mistral · Open weight
46.0%
101
Ministral 3 8BMistral · Open weight
46.0%
102
Gemma 4 E2BGoogle · Open weight
44.6%
103
Nova ProAmazon · Closed
44.3%
104
GPT-4o miniOpenAI · Closed
41.5%
105
GPT-4.1 nanoOpenAI · Closed
40.1%
106
Ministral 3 3B (Reasoning)Mistral · Open weight
38.1%
107
Ministral 3 3BMistral · Open weight
38.1%
108
Claude 3 HaikuAnthropic · Closed
30.8%
109
LFM2.5-VL-1.6B-ExtractLiquidAI · Open weight
26.5%
110
Phi-4 Multimodal InstructMicrosoft · Open weight
14.5%

According to BenchLM.ai, Claude Opus 5.5 leads the AA-MMMU-Pro benchmark with a score of 87.7%, followed by GPT-6 Astra (86.9%) and Gemini 3.8 Flash (85.6%). The top models are clustered within 2.1 points, suggesting this benchmark is nearing saturation for frontier models.

110 models have been evaluated on AA-MMMU-Pro. The benchmark falls in the Multimodal & Grounded category. The Multimodal & Grounded leaderboard ranks models by a weighted category score, and AA-MMMU-Pro contributes 15% of it. It does not enter the overall BenchAlign v5.7 ranking.

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 core MMMU-Pro lane because Artificial Analysis controls the evaluation configuration.

Freshness and provenance

Version

AA-MMMU-Pro 2026

Refresh cadence

Quarterly

Staleness state

Current

Question availability

Public benchmark set

Current

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.

Questions

What does AA-MMMU-Pro measure?

An Artificial Analysis MMMU-Pro score.

Which model scores highest on AA-MMMU-Pro?

Claude Opus 5.5 by Anthropic currently leads with a score of 87.7% on AA-MMMU-Pro.

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

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

Last updated: September 27, 2026 · BenchLM version AA-MMMU-Pro 2026

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