Mathematics · Hugging Face

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

SmolLM3 Instruct scores 54.4 on AIME 2025, placing it #419 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
54.4
0–100 scale
Rank
#419
of 600
Percentile
30th
within the index
Benchmark avg
63.6
all models
Leader
91.4
Claude Opus 4.5 Pro
Gap to leader
37.0
points

Score distribution

The chart shows the top 10 models on AIME 2025, with SmolLM3 Instruct 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 Instruct sits at #419 of 600. The leader, Claude Opus 4.5 Pro, scores 91.4, so the gap to the top is 37.0 points. The median model in this index scores 67.6, which puts SmolLM3 Instruct below the midpoint.

Hugging Face models average 41.0 on this benchmark. SmolLM3 Instruct is 13.4 points above that provider line, so it is a stronger result than the average Hugging Face model.

Among open-weight models, the average is 61.8. SmolLM3 Instruct is 7.4 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 54.4 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 $1.69 per million input tokens, SmolLM3 Instruct 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
Zephyr Hugging Face 8192 $1.61 62.8
SmolLM3 Base Hugging Face 16384 $1.38 60.4
Kimi K1.5 8B Moonshot AI 8192 $1.54 62.2
Qwen3-Coder 8B Alibaba Cloud 32768 $1.43 61.3
SmolLM3 Instruct Hugging Face 8192 $1.69 63.6
DeepSeek-V3.2 7B DeepSeek 4096 $1.75 63.2
Llama 4 Maverick 8B Meta AI 4096 $1.64 63.4

Other benchmarks for SmolLM3 Instruct

BenchmarkScoreRankPercentileRelative
MMLU-Pro 67.3 428 29th
GPQA Diamond 58.4 423 30th
SWE-bench Verified 50.6 417 31th
HumanEval 69.2 408 32th
MATH-500 67.0 409 32th
LiveCodeBench 56.1 397 34th
IFEval 74.0 406 32th
TruthfulQA 66.5 438 27th
HellaSwag 75.1 440 27th
MMMU 60.5 425 29th
Arena Elo 1297.8 423 30th

FAQ

What score does SmolLM3 Instruct get on AIME 2025?

SmolLM3 Instruct scores 54.4 on AIME 2025 in this index. The benchmark average is 63.6 and the top score is 91.4.

How does SmolLM3 Instruct rank on AIME 2025?

It ranks #419 of 600 models, in the 30th percentile. The leader is Claude Opus 4.5 Pro at 91.4.

Is SmolLM3 Instruct 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 Instruct cost?

SmolLM3 Instruct costs $1.69 per million input tokens and $8.67 per million output tokens.

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