Reasoning · Allen Institute for AI

OLMo 2 1.5B on GPQA Diamond: score, rank and what it means

OLMo 2 1.5B scores 40.7 on GPQA Diamond, placing it #582 of 600 models in the index. The benchmark average is 65.6 and the leader is GPT-5.2 Reasoning at 87.0.

Score
40.7
0–100 scale
Rank
#582
of 600
Percentile
3th
within the index
Benchmark avg
65.6
all models
Leader
87.0
GPT-5.2 Reasoning
Gap to leader
46.3
points

Score distribution

The chart shows the top 10 models on GPQA Diamond, with OLMo 2 1.5B 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 1.5B sits at #582 of 600. The leader, GPT-5.2 Reasoning, scores 87.0, so the gap to the top is 46.3 points. The median model in this index scores 68.8, which puts OLMo 2 1.5B below the midpoint.

Allen Institute for AI models average 55.6 on this benchmark. OLMo 2 1.5B is 14.9 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 49.3. OLMo 2 1.5B is 8.6 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 40.7 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 $0.28 per million input tokens, OLMo 2 1.5B 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
SmolLM3 7B Hugging Face 16384 $0.19 44.3
GPT-NeoX 8B EleutherAI 16384 $0.25 43.7
Nemotron Nano 7B NVIDIA 8192 $0.35 47.5
Nemotron Nano 8B NVIDIA 8192 $0.46 48.1
OLMo 2 1.5B Allen Institute for AI 16384 $0.28 44.0
StableLM 2 7B Stability AI 8192 $0.28 44.3
StableLM 2 8B Stability AI 32768 $0.38 47.0

Other benchmarks for OLMo 2 1.5B

BenchmarkScoreRankPercentileRelative
MMLU-Pro 51.2 588 2th
SWE-bench Verified 26.3 592 1th
HumanEval 48.3 584 3th
MATH-500 41.9 591 2th
AIME 2025 29.2 585 3th
LiveCodeBench 29.4 584 3th
IFEval 55.4 591 2th
TruthfulQA 50.5 590 2th
HellaSwag 64.3 588 2th
MMMU 46.4 577 4th
Arena Elo 1142.8 586 2th

FAQ

What score does OLMo 2 1.5B get on GPQA Diamond?

OLMo 2 1.5B scores 40.7 on GPQA Diamond in this index. The benchmark average is 65.6 and the top score is 87.0.

How does OLMo 2 1.5B rank on GPQA Diamond?

It ranks #582 of 600 models, in the 3rd percentile. The leader is GPT-5.2 Reasoning at 87.0.

Is OLMo 2 1.5B 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 1.5B cost?

OLMo 2 1.5B costs $0.28 per million input tokens and $1.41 per million output tokens.

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