Skip to main content

Benchmark profile

Vals MMMU (MMMU)

Multimodal Multi-task Benchmark

Data verified

How BenchLM shows MMMU

BenchLM mirrors the public Vals AI MMMU leaderboard captured from https://www.vals.ai/benchmarks/mmmu and updated by Vals on July 18, 2026. The snapshot preserves overall scores, uncertainty, latency, cost-per-test metadata, and task-level scores where Vals publishes them.

MMMU is display only on BenchLM. Vals proprietary or Vals-hosted aggregate views are useful context, but BenchLM does not use them as weighted ranking inputs or as a replacement for benchmark-native source records.

83 Vals rows1 task viewspublic datasetTasks: OverallDisplay only

MMMU score on MMMU — July 18, 2026

BenchLM mirrors the published mmmu score view for MMMU. Claude Fable 5 leads the public snapshot at 89.31% , followed by GPT-5.6 Sol (88.84%) and Gemini 3.5 Flash (88.27%). BenchLM does not use these results to rank models overall.

83 modelsExternal benchmark mirrorsCurrentDisplay onlyUpdated July 18, 2026

MMMU score table (83 models)

Score
1
89.31%
2
88.84%
3
88.27%
4
GPT-5.5OpenAI
88.27%
6
Kimi K3Moonshot AI
88.15%
9
GPT-5.4OpenAI
87.51%
10
87.40%
11
GPT-5.2OpenAI
86.67%
12
86.59%
13
86.59%
14
86.47%
15
Kimi K2.6Moonshot AI
86.30%
16
85.55%
17
85.03%
18
84.33%
19
84.16%
20
83.87%
21
83.58%
22
83.47%
23
GPT-5.1OpenAI
83.18%
24
Grok 4.3SpaceXAI
83.06%
25
83.01%
28
81.91%
29
GPT-5OpenAI
81.50%
31
MiniMax M3MiniMax
81.16%
32
81.10%
34
O3OpenAI
80.42%
35
Mimo V2.5Xiaomi
80.00%
36
O4 MiniOpenAI
79.67%
39
79.25%
40
78.91%
41
InklingThinkingmachines
78.50%
43
O1OpenAI
77.41%
44
Grok 4 0709SpaceXAI
76.27%
48
73.72%
49
73.58%
50
Claude Opus 4Anthropic
73.31%
51
72.78%
52
72.66%
54
72.39%
55
GPT-4.1OpenAI
72.39%
57
71.69%
58
71.52%
59
70.94%
60
70.54%
61
69.79%
62
68.80%
64
66.19%
65
65.51%
66
65.20%
67
64.57%
68
GPT-4oOpenAI
64.01%
71
62.97%
72
GPT-4oOpenAI
62.16%
73
Grok 4.5SpaceXAI
61.79%
74
60.08%
76
57.25%
77
57.19%
78
56.56%
79
55.05%
83
22.77%

The published MMMU snapshot places Claude Fable 5 first at 89.31%. The third row is 1.04 points behind. The broader top-10 range is 1.91 points, so many of the published results sit in a relatively narrow band.

83 models have been evaluated on MMMU. The benchmark falls in the External benchmark mirrors category. We keep external benchmark mirrors separate from the weighted global scoring system, so these results remain source-specific evidence. MMMU is currently displayed for reference but excluded from the scoring formula, so it does not directly affect overall rankings.

About MMMU

Year

2026

Tasks

Multimodal academic task suite

Format

Accuracy score

Difficulty

Multimodal college-level reasoning

BenchLM mirrors the public Vals AI MMMU leaderboard as display-only external evidence. The captured snapshot preserves overall scores, task-level scores where Vals publishes them, uncertainty, latency, and cost-per-test metadata. It is excluded from BenchLM weighted rankings.

BenchLM freshness & provenance

Version

MMMU 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 MMMU measure?

Multimodal Multi-task Benchmark

Which model leads the published MMMU snapshot?

Claude Fable 5 currently leads the published MMMU snapshot with 89.31% mmmu score. BenchLM shows this benchmark for display only and does not use it in overall rankings.

How many models are evaluated on MMMU?

83 AI models are included in BenchLM's mirrored MMMU snapshot, based on the public leaderboard captured on July 18, 2026.

Last updated: July 18, 2026 · mirrored from the public benchmark leaderboard

Choose a model with this week’s evidence

Join 2,000+ readers for ranking moves, pricing changes, and the claims that still need proof.

One email each week. Unsubscribe anytime.