Mathematics · Hugging Face

SmolLM3 8B on AIME 2025: score, rank and what it means

SmolLM3 8B scores 26.2 on AIME 2025, placing it #591 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
26.2
0–100 scale
Rank
#591
of 600
Percentile
2th
within the index
Benchmark avg
63.6
all models
Leader
91.4
Claude Opus 4.5 Pro
Gap to leader
65.2
points

Score distribution

The chart shows the top 10 models on AIME 2025, with SmolLM3 8B 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, SmolLM3 8B sits at #591 of 600. The leader, Claude Opus 4.5 Pro, scores 91.4, so the gap to the top is 65.2 points. The median model in this index scores 67.6, which puts SmolLM3 8B below the midpoint.

Hugging Face models average 41.0 on this benchmark. SmolLM3 8B is 14.8 points below that provider line, so it is a weaker result than the average Hugging Face model.

Among small open-weight models, the average is 41.6. SmolLM3 8B is 15.4 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 26.2 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 $0.21 per million input tokens, SmolLM3 8B 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
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
Zephyr 8B Hugging Face 8192 $0.22 43.0
SmolLM3 8B Hugging Face 32768 $0.21 44.0
Nemotron Nano 1.5B NVIDIA 8192 $0.10 41.5
Zephyr 7B Hugging Face 32768 $0.23 42.5

Other benchmarks for SmolLM3 8B

BenchmarkScoreRankPercentileRelative
MMLU-Pro 51.2 589 2th
GPQA Diamond 38.9 589 2th
SWE-bench Verified 27.8 586 2th
HumanEval 49.0 581 3th
MATH-500 44.4 580 3th
LiveCodeBench 31.3 581 3th
IFEval 56.3 589 2th
TruthfulQA 50.6 589 2th
HellaSwag 66.2 576 4th
MMMU 41.8 590 2th
Arena Elo 1153.0 584 3th

FAQ

What score does SmolLM3 8B get on AIME 2025?

SmolLM3 8B scores 26.2 on AIME 2025 in this index. The benchmark average is 63.6 and the top score is 91.4.

How does SmolLM3 8B rank on AIME 2025?

It ranks #591 of 600 models, in the 2nd percentile. The leader is Claude Opus 4.5 Pro at 91.4.

Is SmolLM3 8B 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 SmolLM3 8B cost?

SmolLM3 8B costs $0.21 per million input tokens and $0.76 per million output tokens.

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