Multimodal · Allen Institute for AI

Molmo 7B on MMMU: score, rank and what it means

Molmo 7B scores 50.2 on MMMU, placing it #552 of 600 models in the index. The benchmark average is 67.1 and the leader is GPT-5.2 Max at 86.9.

Score
50.2
0–100 scale
Rank
#552
of 600
Percentile
8th
within the index
Benchmark avg
67.1
all models
Leader
86.9
GPT-5.2 Max
Gap to leader
36.7
points

Score distribution

The chart shows the top 10 models on MMMU, with Molmo 7B 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 7B sits at #552 of 600. The leader, GPT-5.2 Max, scores 86.9, so the gap to the top is 36.7 points. The median model in this index scores 70.0, which puts Molmo 7B below the midpoint.

Allen Institute for AI models average 58.5 on this benchmark. Molmo 7B is 8.3 points below that provider line, so it is a weaker result than the average Allen Institute for AI model.

Among small open-weight models, the average is 52.4. Molmo 7B is 2.2 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 50.2 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 $0.42 per million input tokens, Molmo 7B 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
Seed-OSS 1.5B ByteDance 4096 $0.45 49.8
Molmo 8B Allen Institute for AI 32768 $0.44 49.9
OLMo 2 8B Allen Institute for AI 4096 $0.64 52.5
Mixtral Groq 7B Groq 4096 $0.70 53.4
Molmo 7B Allen Institute for AI 32768 $0.42 49.3
OLMo 2 7B Allen Institute for AI 16384 $0.56 51.7
Llama 3.1 Turbo 1.5B Together AI 16384 $0.46 49.8

Other benchmarks for Molmo 7B

BenchmarkScoreRankPercentileRelative
MMLU-Pro 57.4 557 7th
GPQA Diamond 43.4 575 4th
SWE-bench Verified 32.3 574 4th
HumanEval 51.2 564 6th
MATH-500 50.0 557 7th
AIME 2025 37.1 555 8th
LiveCodeBench 37.9 550 8th
IFEval 61.3 562 6th
TruthfulQA 56.1 565 6th
HellaSwag 65.3 580 3th
Arena Elo 1183.4 572 5th

FAQ

What score does Molmo 7B get on MMMU?

Molmo 7B scores 50.2 on MMMU in this index. The benchmark average is 67.1 and the top score is 86.9.

How does Molmo 7B rank on MMMU?

It ranks #552 of 600 models, in the 8th percentile. The leader is GPT-5.2 Max at 86.9.

Is Molmo 7B 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 7B cost?

Molmo 7B costs $0.42 per million input tokens and $2.22 per million output tokens.

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