Mathematics · Stability AI

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

StableLM 2 7B scores 28.2 on AIME 2025, placing it #587 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
28.2
0–100 scale
Rank
#587
of 600
Percentile
2th
within the index
Benchmark avg
63.6
all models
Leader
91.4
Claude Opus 4.5 Pro
Gap to leader
63.2
points

Score distribution

The chart shows the top 10 models on AIME 2025, with StableLM 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, StableLM 2 7B sits at #587 of 600. The leader, Claude Opus 4.5 Pro, scores 91.4, so the gap to the top is 63.2 points. The median model in this index scores 67.6, which puts StableLM 2 7B below the midpoint.

Stability AI models average 43.9 on this benchmark. StableLM 2 7B is 15.7 points below that provider line, so it is a weaker result than the average Stability AI model.

Among small open-weight models, the average is 41.6. StableLM 2 7B is 13.4 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 28.2 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 $0.28 per million input tokens, StableLM 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
Yi-Large 1.5B 01.AI 8192 $0.42 46.8
Pythia 8B EleutherAI 32768 $0.16 41.4
OLMo 2 1.5B Allen Institute for AI 16384 $0.28 44.0
GPT-NeoX 7B EleutherAI 8192 $0.20 42.4
StableLM 2 7B Stability AI 8192 $0.28 44.3
Molmo 1.5B Allen Institute for AI 8192 $0.21 42.8
SmolLM3 7B Hugging Face 16384 $0.19 44.3

Other benchmarks for StableLM 2 7B

BenchmarkScoreRankPercentileRelative
MMLU-Pro 50.2 594 1th
GPQA Diamond 40.7 583 3th
SWE-bench Verified 30.9 578 4th
HumanEval 45.2 589 2th
MATH-500 42.6 588 2th
LiveCodeBench 28.2 587 2th
IFEval 57.7 585 3th
TruthfulQA 52.7 584 3th
HellaSwag 65.2 582 3th
MMMU 46.0 581 3th
Arena Elo 1155.7 582 3th

FAQ

What score does StableLM 2 7B get on AIME 2025?

StableLM 2 7B scores 28.2 on AIME 2025 in this index. The benchmark average is 63.6 and the top score is 91.4.

How does StableLM 2 7B rank on AIME 2025?

It ranks #587 of 600 models, in the 2nd percentile. The leader is Claude Opus 4.5 Pro at 91.4.

Is StableLM 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 StableLM 2 7B cost?

StableLM 2 7B costs $0.28 per million input tokens and $1.47 per million output tokens.

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