Preference · OpenAI

o3 Nano on Arena Elo: score, rank and what it means

o3 Nano scores 1354.5 on Arena Elo, placing it #355 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
1354.5
0–100 scale
Rank
#355
of 600
Percentile
41th
within the index
Benchmark avg
1349.9
all models
Leader
1501.9
Claude Opus 4.5 Max
Gap to leader
147.4
points

Score distribution

The chart shows the top 10 models on Arena Elo, with o3 Nano 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, o3 Nano sits at #355 of 600. The leader, Claude Opus 4.5 Max, scores 1501.9, so the gap to the top is 147.4 points. The median model in this index scores 1373.8, which puts o3 Nano below the midpoint.

OpenAI models average 1449.4 on this benchmark. o3 Nano is 94.9 points below that provider line, so it is a weaker result than the average OpenAI model.

Among mid-range models, the average is 1332.0. o3 Nano is 22.5 points above that group. This is the more useful comparison if you are shortlisting within the same tier rather than across the whole index.

Read a 1354.5 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 $7.78 per million input tokens, o3 Nano is above 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
Mixtral Turbo Instruct Together AI 32768 $3.16 71.9
Firefunction Turbo Fireworks AI 32768 $8.44 70.7
Auto Pro OpenRouter 8192 $8.41 71.2
Mixtral Turbo Base Together AI 32768 $2.53 69.7
o3 Nano OpenAI 32768 $7.78 70.6
Sonar Pro Mini Perplexity 8192 $8.02 70.3
Yi-Large Base 01.AI 16384 $2.78 70.3

Other benchmarks for o3 Nano

BenchmarkScoreRankPercentileRelative
MMLU-Pro 75.3 325 46th
GPQA Diamond 64.8 364 39th
SWE-bench Verified 57.9 358 40th
HumanEval 72.5 377 37th
MATH-500 74.5 339 44th
AIME 2025 65.6 334 44th
LiveCodeBench 60.3 365 39th
IFEval 78.2 365 39th
TruthfulQA 75.4 324 46th
HellaSwag 81.4 360 40th
MMMU 70.2 295 51th

FAQ

What score does o3 Nano get on Arena Elo?

o3 Nano scores 1354.5 on Arena Elo in this index. The benchmark average is 1349.9 and the top score is 1501.9.

How does o3 Nano rank on Arena Elo?

It ranks #355 of 600 models, in the 41st percentile. The leader is Claude Opus 4.5 Max at 1501.9.

Is o3 Nano 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 o3 Nano cost?

o3 Nano costs $7.78 per million input tokens and $29.81 per million output tokens.

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