Coding · Hugging Face

SmolLM3 Base on LiveCodeBench: score, rank and what it means

SmolLM3 Base scores 52.5 on LiveCodeBench, placing it #420 of 600 models in the index. The benchmark average is 61.0 and the leader is Claude Sonnet 4.5 Reasoning at 85.1.

Score
52.5
0–100 scale
Rank
#420
of 600
Percentile
30th
within the index
Benchmark avg
61.0
all models
Leader
85.1
Claude Sonnet 4.5 Reasoning
Gap to leader
32.6
points

Score distribution

The chart shows the top 10 models on LiveCodeBench, with SmolLM3 Base highlighted. Longer bars mean higher scores.

Claude Sonnet 4.5 Reasoning 85.1
Grok 4 Reasoning 85.1
Claude Opus 4.5 85.0
GPT-5.2 Max 84.8
Grok 4 Turbo 84.7
GPT-5.1 Turbo 84.6
GPT-5.2 Pro 84.6
GPT-5.2 Reasoning 84.6
Claude Opus 4.5 Pro 84.1
Gemini 3 Pro Max 83.6

Top 10 leaderboard

#ModelProviderContextInput / 1MAvg score
1 Claude Sonnet 4.5 Reasoning Anthropic 400000 $19.48 87.7
2 Grok 4 Reasoning xAI 2000000 $19.67 87.8
3 Claude Opus 4.5 Anthropic 400000 $19.42 87.7
4 GPT-5.2 Max OpenAI 1000000 $21.39 89.2
5 Grok 4 Turbo xAI 1000000 $19.21 86.7
6 GPT-5.1 Turbo OpenAI 2000000 $19.19 86.1
7 GPT-5.2 Pro OpenAI 2000000 $21.32 89.6
8 GPT-5.2 Reasoning OpenAI 1000000 $20.98 87.5
9 Claude Opus 4.5 Pro Anthropic 200000 $20.98 89.1
10 Gemini 3 Pro Max Google DeepMind 2000000 $20.57 87.9

What this score means

On LiveCodeBench, SmolLM3 Base sits at #420 of 600. The leader, Claude Sonnet 4.5 Reasoning, scores 85.1, so the gap to the top is 32.6 points. The median model in this index scores 64.7, which puts SmolLM3 Base below the midpoint.

Hugging Face models average 40.9 on this benchmark. SmolLM3 Base is 11.6 points above that provider line, so it is a stronger result than the average Hugging Face model.

Among open-weight models, the average is 59.1. SmolLM3 Base is 6.6 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 52.5 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 $1.38 per million input tokens, SmolLM3 Base is below the median input price of $4.00 across the 600 models scored on LiveCodeBench. The models immediately around it in the ranking are shown below so you can compare score and price together.

ModelProviderContextInput / 1MAvg score
StableLM 2 Base Stability AI 8192 $1.49 61.9
Auto Mini OpenRouter 4096 $4.24 61.6
GPT-NeoX EleutherAI 16384 $1.57 61.7
Mistral Large 3 7B Mistral AI 32768 $1.44 61.1
SmolLM3 Base Hugging Face 16384 $1.38 60.4
DeepSeek-R1 8B DeepSeek 16384 $1.87 64.3
Magistral 8B Mistral AI 4096 $1.33 60.0

Other benchmarks for SmolLM3 Base

BenchmarkScoreRankPercentileRelative
MMLU-Pro 63.7 480 20th
GPQA Diamond 55.0 464 23th
SWE-bench Verified 45.5 461 23th
HumanEval 63.2 457 24th
MATH-500 60.1 463 23th
AIME 2025 54.8 416 31th
IFEval 71.3 437 27th
TruthfulQA 65.7 450 25th
HellaSwag 73.6 464 23th
MMMU 59.4 435 28th
Arena Elo 1280.0 446 26th

FAQ

What score does SmolLM3 Base get on LiveCodeBench?

SmolLM3 Base scores 52.5 on LiveCodeBench in this index. The benchmark average is 61.0 and the top score is 85.1.

How does SmolLM3 Base rank on LiveCodeBench?

It ranks #420 of 600 models, in the 30th percentile. The leader is Claude Sonnet 4.5 Reasoning at 85.1.

Is SmolLM3 Base good at LiveCodeBench?

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 LiveCodeBench score calculated?

LiveCodeBench is a coding 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 Base cost?

SmolLM3 Base costs $1.38 per million input tokens and $7.55 per million output tokens.

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