Instruction following · OpenAI

o4 Max on IFEval: score, rank and what it means

o4 Max scores 91.1 on IFEval, placing it #52 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
91.1
0–100 scale
Rank
#52
of 600
Percentile
91th
within the index
Benchmark avg
78.6
all models
Leader
96.1
Claude Opus 4.5 Pro
Gap to leader
5.0
points

Score distribution

The chart shows the top 10 models on IFEval, with o4 Max 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, o4 Max sits at #52 of 600. The leader, Claude Opus 4.5 Pro, scores 96.1, so the gap to the top is 5.0 points. The median model in this index scores 81.2, which puts o4 Max above the midpoint.

OpenAI models average 89.7 on this benchmark. o4 Max is 1.4 points above that provider line, so it is a stronger result than the average OpenAI model.

Among frontier models, the average is 92.0. o4 Max is 0.9 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 91.1 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 $19.51 per million input tokens, o4 Max 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
Gemini 3 Flash Max Google DeepMind 1000000 $17.43 85.0
Grok 4 Pro xAI 1000000 $19.00 85.4
Claude Sonnet 4.5 Anthropic 400000 $17.84 86.0
Grok 4 Turbo xAI 1000000 $19.21 86.7
o4 Max OpenAI 2000000 $19.51 86.2
DeepSeek-R1 DeepSeek 128000 $5.83 82.8
Gemini 3 Flash Google DeepMind 128000 $15.67 83.6

Other benchmarks for o4 Max

BenchmarkScoreRankPercentileRelative
MMLU-Pro 86.3 47 92th
GPQA Diamond 80.1 54 91th
SWE-bench Verified 79.8 7 99th
HumanEval 94.6 3 100th
MATH-500 90.6 42 93th
AIME 2025 84.8 42 93th
LiveCodeBench 80.6 38 94th
TruthfulQA 87.1 35 94th
HellaSwag 91.7 45 93th
MMMU 81.9 33 95th
Arena Elo 1486.0 13 98th

FAQ

What score does o4 Max get on IFEval?

o4 Max scores 91.1 on IFEval in this index. The benchmark average is 78.6 and the top score is 96.1.

How does o4 Max rank on IFEval?

It ranks #52 of 600 models, in the 91st percentile. The leader is Claude Opus 4.5 Pro at 96.1.

Is o4 Max good at IFEval?

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 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 o4 Max cost?

o4 Max costs $19.51 per million input tokens and $93.98 per million output tokens.

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