Preference · OpenAI

o4 Nano on Arena Elo: score, rank and what it means

o4 Nano scores 1374.8 on Arena Elo, placing it #294 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
1374.8
0–100 scale
Rank
#294
of 600
Percentile
51th
within the index
Benchmark avg
1349.9
all models
Leader
1501.9
Claude Opus 4.5 Max
Gap to leader
127.1
points

Score distribution

The chart shows the top 10 models on Arena Elo, with o4 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, o4 Nano sits at #294 of 600. The leader, Claude Opus 4.5 Max, scores 1501.9, so the gap to the top is 127.1 points. The median model in this index scores 1373.8, which puts o4 Nano above the midpoint.

OpenAI models average 1449.4 on this benchmark. o4 Nano is 74.6 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. o4 Nano is 42.8 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 1374.8 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 $8.61 per million input tokens, o4 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
Command R+ Base Cohere 65536 $3.24 71.6
Llama 3 Hyperbolic Chat Hyperbolic 200000 $3.64 75.1
Llama 3 DeepInfra Instruct DeepInfra 65536 $3.84 75.5
DBRX Instruct Databricks 8192 $3.21 72.4
o4 Nano OpenAI 65536 $8.61 72.0
Llama 3 DeepInfra Base DeepInfra 16384 $2.95 71.8
Mixtral Groq Chat Groq 8192 $3.09 72.0

Other benchmarks for o4 Nano

BenchmarkScoreRankPercentileRelative
MMLU-Pro 74.9 339 44th
GPQA Diamond 67.3 327 46th
SWE-bench Verified 62.3 272 55th
HumanEval 74.7 350 42th
MATH-500 74.0 349 42th
AIME 2025 64.2 354 41th
LiveCodeBench 65.9 278 54th
IFEval 81.6 286 52th
TruthfulQA 75.2 327 46th
HellaSwag 81.2 363 40th
MMMU 70.2 296 51th

FAQ

What score does o4 Nano get on Arena Elo?

o4 Nano scores 1374.8 on Arena Elo in this index. The benchmark average is 1349.9 and the top score is 1501.9.

How does o4 Nano rank on Arena Elo?

It ranks #294 of 600 models, in the 51st percentile. The leader is Claude Opus 4.5 Max at 1501.9.

Is o4 Nano 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 o4 Nano cost?

o4 Nano costs $8.61 per million input tokens and $41.97 per million output tokens.

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