Preference · Hugging Face

SmolLM3 on Arena Elo: score, rank and what it means

SmolLM3 scores 1294.1 on Arena Elo, placing it #427 of 600 models in the index. The benchmark average is 1349.9 and the leader is Claude Opus 4.5 Max at 1501.9.

Score
1294.1
0–100 scale
Rank
#427
of 600
Percentile
29th
within the index
Benchmark avg
1349.9
all models
Leader
1501.9
Claude Opus 4.5 Max
Gap to leader
207.8
points

Score distribution

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

Claude Opus 4.5 Max 1501.9
GPT-5.2 Reasoning 1500.4
GPT-5.2 Turbo 1500.3
Claude Opus 4.5 Reasoning 1497.5
GPT-5.2 Max 1495.3
Gemini 3 Pro Turbo 1494.9
Grok 4 Max 1491.4
Claude Opus 4.5 1491.2
GPT-5.1 Pro 1490.0
Grok 4 Reasoning 1487.6

Top 10 leaderboard

#ModelProviderContextInput / 1MAvg score
1 Claude Opus 4.5 Max Anthropic 1000000 $20.90 87.8
2 GPT-5.2 Reasoning OpenAI 1000000 $20.98 87.5
3 GPT-5.2 Turbo OpenAI 1000000 $20.73 87.4
4 Claude Opus 4.5 Reasoning Anthropic 2000000 $20.91 88.2
5 GPT-5.2 Max OpenAI 1000000 $21.39 89.2
6 Gemini 3 Pro Turbo Google DeepMind 400000 $19.62 86.4
7 Grok 4 Max xAI 2000000 $19.70 86.6
8 Claude Opus 4.5 Anthropic 400000 $19.42 87.7
9 GPT-5.1 Pro OpenAI 200000 $19.77 87.8
10 Grok 4 Reasoning xAI 2000000 $19.67 87.8

What this score means

On Arena Elo, SmolLM3 sits at #427 of 600. The leader, Claude Opus 4.5 Max, scores 1501.9, so the gap to the top is 207.8 points. The median model in this index scores 1373.8, which puts SmolLM3 below the midpoint.

Hugging Face models average 1219.9 on this benchmark. SmolLM3 is 74.2 points above that provider line, so it is a stronger result than the average Hugging Face model.

Among open-weight models, the average is 1338.0. SmolLM3 is 43.9 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 1294.1 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 $1.71 per million input tokens, SmolLM3 is below the median input price of $4.00 across the 600 models scored on Arena Elo. The models immediately around it in the ranking are shown below so you can compare score and price together.

ModelProviderContextInput / 1MAvg score
SmolLM3 Instruct Hugging Face 8192 $1.69 63.6
DeepSeek-R1 7B DeepSeek 32768 $1.79 63.0
StableLM 2 Chat Stability AI 8192 $1.79 64.6
StableLM 2 Stability AI 8192 $1.91 65.0
SmolLM3 Hugging Face 8192 $1.71 63.1
SmolLM3 Chat Hugging Face 16384 $1.61 62.1
GPT-NeoX Instruct EleutherAI 16384 $1.52 62.6

Other benchmarks for SmolLM3

BenchmarkScoreRankPercentileRelative
MMLU-Pro 69.2 405 33th
GPQA Diamond 61.0 398 34th
SWE-bench Verified 47.3 444 26th
HumanEval 69.5 403 33th
MATH-500 68.1 400 33th
AIME 2025 52.9 436 27th
LiveCodeBench 49.8 451 25th
IFEval 72.7 421 30th
TruthfulQA 67.9 415 31th
HellaSwag 77.7 405 33th
MMMU 58.3 454 24th

FAQ

What score does SmolLM3 get on Arena Elo?

SmolLM3 scores 1294.1 on Arena Elo in this index. The benchmark average is 1349.9 and the top score is 1501.9.

How does SmolLM3 rank on Arena Elo?

It ranks #427 of 600 models, in the 29th percentile. The leader is Claude Opus 4.5 Max at 1501.9.

Is SmolLM3 good at Arena Elo?

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 Arena Elo score calculated?

Arena Elo is a preference 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 cost?

SmolLM3 costs $1.71 per million input tokens and $8.86 per million output tokens.

Related