Reasoning · Allen Institute for AI

OLMo 2 8B on GPQA Diamond: score, rank and what it means

OLMo 2 8B scores 50.5 on GPQA Diamond, placing it #518 of 600 models in the index. The benchmark average is 65.6 and the leader is GPT-5.2 Reasoning at 87.0.

Score
50.5
0–100 scale
Rank
#518
of 600
Percentile
14th
within the index
Benchmark avg
65.6
all models
Leader
87.0
GPT-5.2 Reasoning
Gap to leader
36.5
points

Score distribution

The chart shows the top 10 models on GPQA Diamond, with OLMo 2 8B 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 8B sits at #518 of 600. The leader, GPT-5.2 Reasoning, scores 87.0, so the gap to the top is 36.5 points. The median model in this index scores 68.8, which puts OLMo 2 8B below the midpoint.

Allen Institute for AI models average 55.6 on this benchmark. OLMo 2 8B is 5.1 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 8B is 1.2 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 50.5 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 $0.64 per million input tokens, OLMo 2 8B 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
Nemotron 4 8B NVIDIA 4096 $1.06 57.9
Fusion Nano OpenRouter 8192 $2.96 56.8
Llama 3 Hyperbolic 8B Hyperbolic 16384 $0.92 56.0
Yi-Lightning 7B 01.AI 32768 $1.00 55.9
OLMo 2 8B Allen Institute for AI 4096 $0.64 52.5
Gemma 3 8B Google DeepMind 16384 $0.96 56.5
Auto Nano OpenRouter 4096 $2.83 57.1

Other benchmarks for OLMo 2 8B

BenchmarkScoreRankPercentileRelative
MMLU-Pro 58.6 543 10th
SWE-bench Verified 39.4 527 12th
HumanEval 53.9 550 8th
MATH-500 51.0 548 9th
AIME 2025 41.2 536 11th
LiveCodeBench 39.0 543 10th
IFEval 61.8 556 7th
TruthfulQA 60.0 530 12th
HellaSwag 71.3 515 14th
MMMU 50.3 550 8th
Arena Elo 1212.1 541 10th

FAQ

What score does OLMo 2 8B get on GPQA Diamond?

OLMo 2 8B scores 50.5 on GPQA Diamond in this index. The benchmark average is 65.6 and the top score is 87.0.

How does OLMo 2 8B rank on GPQA Diamond?

It ranks #518 of 600 models, in the 14th percentile. The leader is GPT-5.2 Reasoning at 87.0.

Is OLMo 2 8B 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 8B cost?

OLMo 2 8B costs $0.64 per million input tokens and $3.18 per million output tokens.

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