Preference · Hugging Face

SmolLM3 1.5B on Arena Elo: score, rank and what it means

SmolLM3 1.5B scores 1103.0 on Arena Elo, placing it #599 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
1103.0
0–100 scale
Rank
#599
of 600
Percentile
1th
within the index
Benchmark avg
1349.9
all models
Leader
1501.9
Claude Opus 4.5 Max
Gap to leader
398.9
points

Score distribution

The chart shows the top 10 models on Arena Elo, with SmolLM3 1.5B 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 1.5B sits at #599 of 600. The leader, Claude Opus 4.5 Max, scores 1501.9, so the gap to the top is 398.9 points. The median model in this index scores 1373.8, which puts SmolLM3 1.5B below the midpoint.

Hugging Face models average 1219.9 on this benchmark. SmolLM3 1.5B is 116.9 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 1224.7. SmolLM3 1.5B is 121.7 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 1103.0 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 $0.040 per million input tokens, SmolLM3 1.5B 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
Nemotron Nano 1.5B NVIDIA 8192 $0.10 41.5
GPT-NeoX 1.5B EleutherAI 32768 $0.06 36.4
Zephyr 1.5B Hugging Face 32768 $0.10 38.0
StableLM 2 1.5B Stability AI 16384 $0.13 38.3
SmolLM3 1.5B Hugging Face 8192 $0.04 36.8
Pythia 1.5B EleutherAI 4096 $0.10 35.8

Other benchmarks for SmolLM3 1.5B

BenchmarkScoreRankPercentileRelative
MMLU-Pro 46.7 599 1th
GPQA Diamond 31.9 599 1th
SWE-bench Verified 18.4 599 1th
HumanEval 39.8 597 1th
MATH-500 37.7 596 1th
AIME 2025 21.7 597 1th
LiveCodeBench 20.0 600 1th
IFEval 50.2 599 1th
TruthfulQA 44.2 600 1th
HellaSwag 58.1 599 1th
MMMU 35.8 599 1th

FAQ

What score does SmolLM3 1.5B get on Arena Elo?

SmolLM3 1.5B scores 1103.0 on Arena Elo in this index. The benchmark average is 1349.9 and the top score is 1501.9.

How does SmolLM3 1.5B rank on Arena Elo?

It ranks #599 of 600 models, in the 1st percentile. The leader is Claude Opus 4.5 Max at 1501.9.

Is SmolLM3 1.5B 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 1.5B cost?

SmolLM3 1.5B costs $0.040 per million input tokens and $0.17 per million output tokens.

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