Instruction following · OpenAI

o3 Nano on IFEval: score, rank and what it means

o3 Nano scores 78.2 on IFEval, placing it #365 of 600 models in the index. The benchmark average is 78.6 and the leader is Claude Opus 4.5 Pro at 96.1.

Score
78.2
0–100 scale
Rank
#365
of 600
Percentile
39th
within the index
Benchmark avg
78.6
all models
Leader
96.1
Claude Opus 4.5 Pro
Gap to leader
17.9
points

Score distribution

The chart shows the top 10 models on IFEval, with o3 Nano highlighted. Longer bars mean higher scores.

Claude Opus 4.5 Pro 96.1
Claude Opus 4.5 Reasoning 95.9
GPT-5.2 Pro 95.6
GPT-5.2 Max 95.2
GPT-5.2 Reasoning 95.0
GPT-5.1 Pro 94.8
Gemini 3 Pro Max 94.7
GPT-5.1 Reasoning 94.6
Claude Opus 4.5 Max 94.5
o4 Reasoning 94.5

Top 10 leaderboard

#ModelProviderContextInput / 1MAvg score
1 Claude Opus 4.5 Pro Anthropic 200000 $20.98 89.1
2 Claude Opus 4.5 Reasoning Anthropic 2000000 $20.91 88.2
3 GPT-5.2 Pro OpenAI 2000000 $21.32 89.6
4 GPT-5.2 Max OpenAI 1000000 $21.39 89.2
5 GPT-5.2 Reasoning OpenAI 1000000 $20.98 87.5
6 GPT-5.1 Pro OpenAI 200000 $19.77 87.8
7 Gemini 3 Pro Max Google DeepMind 2000000 $20.57 87.9
8 GPT-5.1 Reasoning OpenAI 400000 $20.27 88.3
9 Claude Opus 4.5 Max Anthropic 1000000 $20.90 87.8
10 o4 Reasoning OpenAI 1000000 $19.69 87.5

What this score means

On IFEval, o3 Nano sits at #365 of 600. The leader, Claude Opus 4.5 Pro, scores 96.1, so the gap to the top is 17.9 points. The median model in this index scores 81.2, which puts o3 Nano below the midpoint.

OpenAI models average 89.7 on this benchmark. o3 Nano is 11.5 points below that provider line, so it is a weaker result than the average OpenAI model.

Among mid-range models, the average is 76.5. o3 Nano is 1.7 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 78.2 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 IFEval. The models immediately around it in the ranking are shown below so you can compare score and price together.

ModelProviderContextInput / 1MAvg score
DBRX Chat Databricks 65536 $3.07 71.7
Auto Reasoning OpenRouter 65536 $8.39 71.5
Claude Haiku 4.5 Nano Anthropic 8192 $6.47 68.7
Reka Core Mini Reka AI 8192 $7.48 70.1
o3 Nano OpenAI 32768 $7.78 70.6
Auto Max OpenRouter 8192 $8.41 71.2
Firesearch Fireworks AI 32768 $7.03 68.5

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
TruthfulQA 75.4 324 46th
HellaSwag 81.4 360 40th
MMMU 70.2 295 51th
Arena Elo 1354.5 355 41th

FAQ

What score does o3 Nano get on IFEval?

o3 Nano scores 78.2 on IFEval in this index. The benchmark average is 78.6 and the top score is 96.1.

How does o3 Nano rank on IFEval?

It ranks #365 of 600 models, in the 39th percentile. The leader is Claude Opus 4.5 Pro at 96.1.

Is o3 Nano good at IFEval?

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 IFEval score calculated?

IFEval is a instruction following 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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