Multimodal · Allen Institute for AI

Molmo on MMMU: score, rank and what it means

Molmo scores 63.3 on MMMU, placing it #397 of 600 models in the index. The benchmark average is 67.1 and the leader is GPT-5.2 Max at 86.9.

Score
63.3
0–100 scale
Rank
#397
of 600
Percentile
34th
within the index
Benchmark avg
67.1
all models
Leader
86.9
GPT-5.2 Max
Gap to leader
23.6
points

Score distribution

The chart shows the top 10 models on MMMU, with Molmo highlighted. Longer bars mean higher scores.

GPT-5.2 Max 86.9
GPT-5.1 Reasoning 86.2
GPT-5.2 85.3
Claude Sonnet 4.5 Reasoning 85.2
GPT-5.1 Max 85.1
Grok 4 Pro 84.9
Claude Opus 4.5 Reasoning 84.6
Claude Sonnet 4.5 Pro 84.5
GPT-5.2 Pro 84.4
GPT-5.2 Vision 84.4

Top 10 leaderboard

#ModelProviderContextInput / 1MAvg score
1 GPT-5.2 Max OpenAI 1000000 $21.39 89.2
2 GPT-5.1 Reasoning OpenAI 400000 $20.27 88.3
3 GPT-5.2 OpenAI 2000000 $19.71 88.0
4 Claude Sonnet 4.5 Reasoning Anthropic 400000 $19.48 87.7
5 GPT-5.1 Max OpenAI 2000000 $20.50 87.9
6 Grok 4 Pro xAI 1000000 $19.00 85.4
7 Claude Opus 4.5 Reasoning Anthropic 2000000 $20.91 88.2
8 Claude Sonnet 4.5 Pro Anthropic 1000000 $18.73 86.7
9 GPT-5.2 Pro OpenAI 2000000 $21.32 89.6
10 GPT-5.2 Vision OpenAI 1000000 $19.03 87.4

What this score means

On MMMU, Molmo sits at #397 of 600. The leader, GPT-5.2 Max, scores 86.9, so the gap to the top is 23.6 points. The median model in this index scores 70.0, which puts Molmo below the midpoint.

Allen Institute for AI models average 58.5 on this benchmark. Molmo is 4.8 points above that provider line, so it is a stronger result than the average Allen Institute for AI model.

Among open-weight models, the average is 65.1. Molmo is 1.8 points below that group. This is the more useful comparison if you are shortlisting within the same tier rather than across the whole index.

Read a 63.3 as a relative signal, not an absolute guarantee. Benchmark scores depend on prompt format, evaluation harness and contamination controls. Use this page to narrow the shortlist, then test the model on your own data.

Price context

At $2.49 per million input tokens, Molmo is below the median input price of $4.00 across the 600 models scored on MMMU. The models immediately around it in the ranking are shown below so you can compare score and price together.

ModelProviderContextInput / 1MAvg score
Phi-3.5 Chat Microsoft 16384 $2.64 69.0
Grok 3 Nano xAI 8192 $7.12 67.8
Firefunction Mini Fireworks AI 32768 $4.63 63.2
Fusion Mini OpenRouter 4096 $4.89 63.3
Molmo Allen Institute for AI 32768 $2.49 68.5
Hunyuan-Turbo Nano Tencent 32768 $4.65 62.7
StableLM 2 Instruct Stability AI 16384 $1.93 65.2

Other benchmarks for Molmo

BenchmarkScoreRankPercentileRelative
MMLU-Pro 74.0 353 41th
GPQA Diamond 65.3 355 41th
SWE-bench Verified 57.9 357 41th
HumanEval 74.4 353 41th
MATH-500 72.0 366 39th
AIME 2025 59.3 392 35th
LiveCodeBench 57.1 394 34th
IFEval 77.5 372 38th
TruthfulQA 74.0 352 41th
HellaSwag 79.2 392 35th
Arena Elo 1328.8 389 35th

FAQ

What score does Molmo get on MMMU?

Molmo scores 63.3 on MMMU in this index. The benchmark average is 67.1 and the top score is 86.9.

How does Molmo rank on MMMU?

It ranks #397 of 600 models, in the 34th percentile. The leader is GPT-5.2 Max at 86.9.

Is Molmo good at MMMU?

It is below the median for this benchmark, so test it carefully before relying on it for this capability. The result should be read alongside its price and context window.

How is the MMMU score calculated?

MMMU is a multimodal benchmark. Scores in this index are modelled estimates on a 0–100 scale (or Elo for Arena), derived from capability tier and benchmark difficulty. They are not official leaderboard results.

What does Molmo cost?

Molmo costs $2.49 per million input tokens and $9.45 per million output tokens.

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