Preference · Hugging Face

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

SmolLM3 Base scores 1280.0 on Arena Elo, placing it #446 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
1280.0
0–100 scale
Rank
#446
of 600
Percentile
26th
within the index
Benchmark avg
1349.9
all models
Leader
1501.9
Claude Opus 4.5 Max
Gap to leader
221.9
points

Score distribution

The chart shows the top 10 models on Arena Elo, with SmolLM3 Base 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 Base sits at #446 of 600. The leader, Claude Opus 4.5 Max, scores 1501.9, so the gap to the top is 221.9 points. The median model in this index scores 1373.8, which puts SmolLM3 Base below the midpoint.

Hugging Face models average 1219.9 on this benchmark. SmolLM3 Base is 60.1 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 Base is 58.0 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 1280.0 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 $1.38 per million input tokens, SmolLM3 Base 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
MiniMax-Text 8B MiniMax 4096 $1.22 59.5
Zephyr Chat Hugging Face 4096 $1.49 61.3
MiniMax-M2 7B MiniMax 8192 $1.44 60.8
Firesearch Mini Fireworks AI 32768 $3.94 61.5
SmolLM3 Base Hugging Face 16384 $1.38 60.4
Hunyuan-Large 8B Tencent 4096 $1.29 58.7
GPT-NeoX EleutherAI 16384 $1.57 61.7

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
LiveCodeBench 52.5 420 30th
IFEval 71.3 437 27th
TruthfulQA 65.7 450 25th
HellaSwag 73.6 464 23th
MMMU 59.4 435 28th

FAQ

What score does SmolLM3 Base get on Arena Elo?

SmolLM3 Base scores 1280.0 on Arena Elo in this index. The benchmark average is 1349.9 and the top score is 1501.9.

How does SmolLM3 Base rank on Arena Elo?

It ranks #446 of 600 models, in the 26th percentile. The leader is Claude Opus 4.5 Max at 1501.9.

Is SmolLM3 Base 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 Base cost?

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

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