Knowledge · Allen Institute for AI

Molmo on MMLU-Pro: score, rank and what it means

Molmo scores 74.0 on MMLU-Pro, placing it #353 of 600 models in the index. The benchmark average is 73.5 and the leader is GPT-5.2 Pro at 91.6.

Score
74.0
0–100 scale
Rank
#353
of 600
Percentile
41th
within the index
Benchmark avg
73.5
all models
Leader
91.6
GPT-5.2 Pro
Gap to leader
17.6
points

Score distribution

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

GPT-5.2 Pro 91.6
GPT-5.1 Max 91.3
Claude Opus 4.5 Pro 91.2
Claude Opus 4.5 Reasoning 90.7
Gemini 3 Pro Reasoning 90.1
GPT-5.1 Reasoning 90.0
GPT-5.2 89.9
Claude Opus 4.5 Max 89.5
GPT-5.2 Vision 89.5
Gemini 3 Pro Max 89.5

Top 10 leaderboard

#ModelProviderContextInput / 1MAvg score
1 GPT-5.2 Pro OpenAI 2000000 $21.32 89.6
2 GPT-5.1 Max OpenAI 2000000 $20.50 87.9
3 Claude Opus 4.5 Pro Anthropic 200000 $20.98 89.1
4 Claude Opus 4.5 Reasoning Anthropic 2000000 $20.91 88.2
5 Gemini 3 Pro Reasoning Google DeepMind 200000 $19.69 87.5
6 GPT-5.1 Reasoning OpenAI 400000 $20.27 88.3
7 GPT-5.2 OpenAI 2000000 $19.71 88.0
8 Claude Opus 4.5 Max Anthropic 1000000 $20.90 87.8
9 GPT-5.2 Vision OpenAI 1000000 $19.03 87.4
10 Gemini 3 Pro Max Google DeepMind 2000000 $20.57 87.9

What this score means

On MMLU-Pro, Molmo sits at #353 of 600. The leader, GPT-5.2 Pro, scores 91.6, so the gap to the top is 17.6 points. The median model in this index scores 76.1, which puts Molmo below the midpoint.

Allen Institute for AI models average 65.6 on this benchmark. Molmo is 8.4 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 72.1. Molmo is 1.9 points above that group. This is the more useful comparison if you are shortlisting within the same tier rather than across the whole index.

Read a 74.0 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 MMLU-Pro. The models immediately around it in the ranking are shown below so you can compare score and price together.

ModelProviderContextInput / 1MAvg score
Mixtral Turbo Chat Together AI 32768 $3.02 71.7
Molmo Chat Allen Institute for AI 32768 $2.40 66.7
Command A Mini Cohere 8192 $8.12 71.0
GPT-4.1 Nano OpenAI 32768 $7.42 70.5
Molmo Allen Institute for AI 32768 $2.49 68.5
Phi-4 Base Microsoft 32768 $3.15 71.2
Claude Haiku 4.5 Nano Anthropic 8192 $6.47 68.7

Other benchmarks for Molmo

BenchmarkScoreRankPercentileRelative
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
MMMU 63.3 397 34th
Arena Elo 1328.8 389 35th

FAQ

What score does Molmo get on MMLU-Pro?

Molmo scores 74.0 on MMLU-Pro in this index. The benchmark average is 73.5 and the top score is 91.6.

How does Molmo rank on MMLU-Pro?

It ranks #353 of 600 models, in the 41st percentile. The leader is GPT-5.2 Pro at 91.6.

Is Molmo good at MMLU-Pro?

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 MMLU-Pro score calculated?

MMLU-Pro is a knowledge 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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