Knowledge · Allen Institute for AI

Molmo 8B on MMLU-Pro: score, rank and what it means

Molmo 8B scores 55.7 on MMLU-Pro, placing it #569 of 600 models in the index. The benchmark average is 73.5 and the leader is GPT-5.2 Pro at 91.6.

Score
55.7
0–100 scale
Rank
#569
of 600
Percentile
5th
within the index
Benchmark avg
73.5
all models
Leader
91.6
GPT-5.2 Pro
Gap to leader
35.9
points

Score distribution

The chart shows the top 10 models on MMLU-Pro, with Molmo 8B 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 8B sits at #569 of 600. The leader, GPT-5.2 Pro, scores 91.6, so the gap to the top is 35.9 points. The median model in this index scores 76.1, which puts Molmo 8B below the midpoint.

Allen Institute for AI models average 65.6 on this benchmark. Molmo 8B is 9.9 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 59.8. Molmo 8B is 4.1 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 55.7 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 $0.44 per million input tokens, Molmo 8B 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
Command R+ 1.5B Cohere 32768 $0.51 50.0
Mistral Small 3 1.5B Mistral AI 32768 $0.42 49.2
Llama 3 Anyscale 1.5B Anyscale 16384 $0.43 48.9
Llama 3 Replicate 1.5B Replicate 4096 $0.51 49.3
Molmo 8B Allen Institute for AI 32768 $0.44 49.9
Llama 3.3 Groq 1.5B Groq 4096 $0.46 50.0
Mixtral Groq 1.5B Groq 4096 $0.34 46.1

Other benchmarks for Molmo 8B

BenchmarkScoreRankPercentileRelative
GPQA Diamond 47.9 540 10th
SWE-bench Verified 33.6 567 6th
HumanEval 54.0 549 9th
MATH-500 49.2 560 7th
AIME 2025 35.5 564 6th
LiveCodeBench 35.6 568 5th
IFEval 60.2 572 5th
TruthfulQA 58.2 545 9th
HellaSwag 69.1 545 9th
MMMU 50.4 549 9th
Arena Elo 1186.2 568 5th

FAQ

What score does Molmo 8B get on MMLU-Pro?

Molmo 8B scores 55.7 on MMLU-Pro in this index. The benchmark average is 73.5 and the top score is 91.6.

How does Molmo 8B rank on MMLU-Pro?

It ranks #569 of 600 models, in the 5th percentile. The leader is GPT-5.2 Pro at 91.6.

Is Molmo 8B 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 8B cost?

Molmo 8B costs $0.44 per million input tokens and $2.29 per million output tokens.

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