Reasoning · Allen Institute for AI

OLMo 2 7B on GPQA Diamond: score, rank and what it means

OLMo 2 7B scores 48.2 on GPQA Diamond, placing it #536 of 600 models in the index. The benchmark average is 65.6 and the leader is GPT-5.2 Reasoning at 87.0.

Score
48.2
0–100 scale
Rank
#536
of 600
Percentile
11th
within the index
Benchmark avg
65.6
all models
Leader
87.0
GPT-5.2 Reasoning
Gap to leader
38.8
points

Score distribution

The chart shows the top 10 models on GPQA Diamond, with OLMo 2 7B 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, OLMo 2 7B sits at #536 of 600. The leader, GPT-5.2 Reasoning, scores 87.0, so the gap to the top is 38.8 points. The median model in this index scores 68.8, which puts OLMo 2 7B below the midpoint.

Allen Institute for AI models average 55.6 on this benchmark. OLMo 2 7B is 7.4 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 49.3. OLMo 2 7B is 1.1 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 48.2 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 $0.56 per million input tokens, OLMo 2 7B 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
Hunyuan-Large 1.5B Tencent 8192 $0.54 50.5
Llama 3 Novita 7B Novita AI 8192 $0.92 56.3
Llama 3 Novita 8B Novita AI 16384 $0.99 55.5
Mistral Small 3 7B Mistral AI 4096 $0.89 55.2
OLMo 2 7B Allen Institute for AI 16384 $0.56 51.7
Llama 3.3 Groq 1.5B Groq 4096 $0.46 50.0
Yi-Lightning 1.5B 01.AI 4096 $0.54 50.0

Other benchmarks for OLMo 2 7B

BenchmarkScoreRankPercentileRelative
MMLU-Pro 59.3 533 11th
SWE-bench Verified 35.5 552 8th
HumanEval 55.9 536 11th
MATH-500 49.0 563 6th
AIME 2025 41.2 535 11th
LiveCodeBench 40.3 536 11th
IFEval 63.4 544 9th
TruthfulQA 59.1 540 10th
HellaSwag 67.0 564 6th
MMMU 50.1 553 8th
Arena Elo 1211.0 543 10th

FAQ

What score does OLMo 2 7B get on GPQA Diamond?

OLMo 2 7B scores 48.2 on GPQA Diamond in this index. The benchmark average is 65.6 and the top score is 87.0.

How does OLMo 2 7B rank on GPQA Diamond?

It ranks #536 of 600 models, in the 11th percentile. The leader is GPT-5.2 Reasoning at 87.0.

Is OLMo 2 7B 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 OLMo 2 7B cost?

OLMo 2 7B costs $0.56 per million input tokens and $2.58 per million output tokens.

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