Mathematics · Allen Institute for AI

OLMo 2 7B on AIME 2025: score, rank and what it means

OLMo 2 7B scores 41.2 on AIME 2025, placing it #535 of 600 models in the index. The benchmark average is 63.6 and the leader is Claude Opus 4.5 Pro at 91.4.

Score
41.2
0–100 scale
Rank
#535
of 600
Percentile
11th
within the index
Benchmark avg
63.6
all models
Leader
91.4
Claude Opus 4.5 Pro
Gap to leader
50.2
points

Score distribution

The chart shows the top 10 models on AIME 2025, with OLMo 2 7B highlighted. Longer bars mean higher scores.

Claude Opus 4.5 Pro 91.4
GPT-5.2 Pro 91.0
GPT-5.1 Pro 90.6
GPT-5.2 90.6
o4 Reasoning 90.3
o4 Pro 89.9
Claude Opus 4.5 89.8
Gemini 3 Pro Max 89.6
Claude Opus 4.5 Max 89.3
Claude Opus 4.5 Reasoning 88.9

Top 10 leaderboard

#ModelProviderContextInput / 1MAvg score
1 Claude Opus 4.5 Pro Anthropic 200000 $20.98 89.1
2 GPT-5.2 Pro OpenAI 2000000 $21.32 89.6
3 GPT-5.1 Pro OpenAI 200000 $19.77 87.8
4 GPT-5.2 OpenAI 2000000 $19.71 88.0
5 o4 Reasoning OpenAI 1000000 $19.69 87.5
6 o4 Pro OpenAI 1000000 $19.37 87.3
7 Claude Opus 4.5 Anthropic 400000 $19.42 87.7
8 Gemini 3 Pro Max Google DeepMind 2000000 $20.57 87.9
9 Claude Opus 4.5 Max Anthropic 1000000 $20.90 87.8
10 Claude Opus 4.5 Reasoning Anthropic 2000000 $20.91 88.2

What this score means

On AIME 2025, OLMo 2 7B sits at #535 of 600. The leader, Claude Opus 4.5 Pro, scores 91.4, so the gap to the top is 50.2 points. The median model in this index scores 67.6, which puts OLMo 2 7B below the midpoint.

Allen Institute for AI models average 50.2 on this benchmark. OLMo 2 7B is 9.0 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 41.6. OLMo 2 7B is 0.4 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 41.2 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 AIME 2025. The models immediately around it in the ranking are shown below so you can compare score and price together.

ModelProviderContextInput / 1MAvg score
Kimi K1.5 1.5B Moonshot AI 4096 $0.75 53.2
Llama 4 Maverick 1.5B Meta AI 8192 $0.93 55.2
Qwen3 1.5B Alibaba Cloud 4096 $0.84 53.5
Yi-Lightning 7B 01.AI 32768 $1.00 55.9
OLMo 2 7B Allen Institute for AI 16384 $0.56 51.7
OLMo 2 8B Allen Institute for AI 4096 $0.64 52.5
Mixtral Turbo 7B Together AI 8192 $0.68 53.2

Other benchmarks for OLMo 2 7B

BenchmarkScoreRankPercentileRelative
MMLU-Pro 59.3 533 11th
GPQA Diamond 48.2 536 11th
SWE-bench Verified 35.5 552 8th
HumanEval 55.9 536 11th
MATH-500 49.0 563 6th
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 AIME 2025?

OLMo 2 7B scores 41.2 on AIME 2025 in this index. The benchmark average is 63.6 and the top score is 91.4.

How does OLMo 2 7B rank on AIME 2025?

It ranks #535 of 600 models, in the 11th percentile. The leader is Claude Opus 4.5 Pro at 91.4.

Is OLMo 2 7B good at AIME 2025?

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 AIME 2025 score calculated?

AIME 2025 is a mathematics 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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