Reasoning · Allen Institute for AI

Molmo on GPQA Diamond: score, rank and what it means

Molmo scores 65.3 on GPQA Diamond, placing it #355 of 600 models in the index. The benchmark average is 65.6 and the leader is GPT-5.2 Reasoning at 87.0.

Score
65.3
0–100 scale
Rank
#355
of 600
Percentile
41th
within the index
Benchmark avg
65.6
all models
Leader
87.0
GPT-5.2 Reasoning
Gap to leader
21.7
points

Score distribution

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

GPT-5.2 Reasoning 87.0
GPT-5.1 Max 86.4
Claude Opus 4.5 Pro 86.0
GPT-5.1 Reasoning 85.6
Claude Sonnet 4.5 Reasoning 85.2
GPT-5.2 84.9
o4 Turbo 84.8
Claude Opus 4.5 Max 84.6
Grok 4 Turbo 84.5
Claude Sonnet 4.5 Max 84.4

Top 10 leaderboard

#ModelProviderContextInput / 1MAvg score
1 GPT-5.2 Reasoning OpenAI 1000000 $20.98 87.5
2 GPT-5.1 Max OpenAI 2000000 $20.50 87.9
3 Claude Opus 4.5 Pro Anthropic 200000 $20.98 89.1
4 GPT-5.1 Reasoning OpenAI 400000 $20.27 88.3
5 Claude Sonnet 4.5 Reasoning Anthropic 400000 $19.48 87.7
6 GPT-5.2 OpenAI 2000000 $19.71 88.0
7 o4 Turbo OpenAI 2000000 $19.34 86.6
8 Claude Opus 4.5 Max Anthropic 1000000 $20.90 87.8
9 Grok 4 Turbo xAI 1000000 $19.21 86.7
10 Claude Sonnet 4.5 Max Anthropic 1000000 $19.90 87.2

What this score means

On GPQA Diamond, Molmo sits at #355 of 600. The leader, GPT-5.2 Reasoning, scores 87.0, so the gap to the top is 21.7 points. The median model in this index scores 68.8, which puts Molmo below the midpoint.

Allen Institute for AI models average 55.6 on this benchmark. Molmo is 9.7 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 63.6. Molmo is 1.7 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 65.3 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 GPQA Diamond. The models immediately around it in the ranking are shown below so you can compare score and price together.

ModelProviderContextInput / 1MAvg score
Llama 3.3 Groq Base Groq 16384 $3.24 73.5
Phi-3.5 Instruct Microsoft 16384 $2.67 70.1
Gemini 2.5 Pro Nano Google DeepMind 32768 $7.28 69.2
Arctic Snowflake 8192 $2.72 68.8
Molmo Allen Institute for AI 32768 $2.49 68.5
Firesearch Max Fireworks AI 8192 $7.80 69.9
Nemotron Nano NVIDIA 8192 $2.24 66.6

Other benchmarks for Molmo

BenchmarkScoreRankPercentileRelative
MMLU-Pro 74.0 353 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 GPQA Diamond?

Molmo scores 65.3 on GPQA Diamond in this index. The benchmark average is 65.6 and the top score is 87.0.

How does Molmo rank on GPQA Diamond?

It ranks #355 of 600 models, in the 41st percentile. The leader is GPT-5.2 Reasoning at 87.0.

Is Molmo good at GPQA Diamond?

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 GPQA Diamond score calculated?

GPQA Diamond is a reasoning 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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