Preference · OpenAI

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

o3 scores 1449.0 on Arena Elo, placing it #75 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
1449.0
0–100 scale
Rank
#75
of 600
Percentile
88th
within the index
Benchmark avg
1349.9
all models
Leader
1501.9
Claude Opus 4.5 Max
Gap to leader
52.9
points

Score distribution

The chart shows the top 10 models on Arena Elo, with o3 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 sits at #75 of 600. The leader, Claude Opus 4.5 Max, scores 1501.9, so the gap to the top is 52.9 points. The median model in this index scores 1373.8, which puts o3 above the midpoint.

OpenAI models average 1449.4 on this benchmark. o3 is 0.4 points below that provider line, so it is a weaker result than the average OpenAI model.

Among frontier models, the average is 1469.8. o3 is 20.8 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 1449.0 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 $16.80 per million input tokens, o3 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
Gemini 3 Flash Google DeepMind 128000 $15.67 83.6
Gemini 2.5 Pro Max Google DeepMind 200000 $16.94 84.8
GPT-4.1 Pro OpenAI 400000 $17.56 85.2
Qwen3-Max Alibaba Cloud 400000 $17.37 84.4
o3 OpenAI 400000 $16.80 84.5
Mistral Large 3 Mistral AI 128000 $5.41 81.7
Gemini 3 Flash Max Google DeepMind 1000000 $17.43 85.0

Other benchmarks for o3

BenchmarkScoreRankPercentileRelative
MMLU-Pro 86.9 39 94th
GPQA Diamond 78.3 80 87th
SWE-bench Verified 72.9 64 89th
HumanEval 89.8 51 92th
MATH-500 87.9 69 89th
AIME 2025 84.4 45 93th
LiveCodeBench 80.7 35 94th
IFEval 88.7 90 85th
TruthfulQA 84.6 72 88th
HellaSwag 92.7 28 95th
MMMU 82.3 30 95th

FAQ

What score does o3 get on Arena Elo?

o3 scores 1449.0 on Arena Elo in this index. The benchmark average is 1349.9 and the top score is 1501.9.

How does o3 rank on Arena Elo?

It ranks #75 of 600 models, in the 88th percentile. The leader is Claude Opus 4.5 Max at 1501.9.

Is o3 good at Arena Elo?

Yes, relative to the index: it is above the median and inside the top half of scores. 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 cost?

o3 costs $16.80 per million input tokens and $81.80 per million output tokens.

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