Instruction following · OpenAI

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

o4 Mini scores 84.6 on IFEval, placing it #200 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
84.6
0–100 scale
Rank
#200
of 600
Percentile
67th
within the index
Benchmark avg
78.6
all models
Leader
96.1
Claude Opus 4.5 Pro
Gap to leader
11.5
points

Score distribution

The chart shows the top 10 models on IFEval, with o4 Mini 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 Mini sits at #200 of 600. The leader, Claude Opus 4.5 Pro, scores 96.1, so the gap to the top is 11.5 points. The median model in this index scores 81.2, which puts o4 Mini above the midpoint.

OpenAI models average 89.7 on this benchmark. o4 Mini is 5.1 points below that provider line, so it is a weaker result than the average OpenAI model.

Among multimodal models, the average is 85.2. o4 Mini is 0.6 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 84.6 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 $11.92 per million input tokens, o4 Mini 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
Sonar Pro Turbo Perplexity 128000 $13.55 79.0
DeepSeek-Coder Instruct DeepSeek 32768 $4.34 77.7
Sonar Perplexity 200000 $10.57 76.0
Llama 3.1 Cerebras Cerebras 128000 $4.01 76.0
o4 Mini OpenAI 200000 $11.92 77.7
GLM-4.5 Chat Zhipu AI 65536 $4.53 78.3
GLM-4.5 Instruct Zhipu AI 200000 $4.70 78.8

Other benchmarks for o4 Mini

BenchmarkScoreRankPercentileRelative
MMLU-Pro 80.7 160 73th
GPQA Diamond 73.5 189 69th
SWE-bench Verified 64.9 215 64th
HumanEval 81.8 190 68th
MATH-500 83.5 136 77th
AIME 2025 75.3 150 75th
LiveCodeBench 67.7 232 61th
TruthfulQA 81.2 152 75th
HellaSwag 87.7 155 74th
MMMU 73.7 201 67th
Arena Elo 1417.0 163 73th

FAQ

What score does o4 Mini get on IFEval?

o4 Mini scores 84.6 on IFEval in this index. The benchmark average is 78.6 and the top score is 96.1.

How does o4 Mini rank on IFEval?

It ranks #200 of 600 models, in the 67th percentile. The leader is Claude Opus 4.5 Pro at 96.1.

Is o4 Mini 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 Mini cost?

o4 Mini costs $11.92 per million input tokens and $51.03 per million output tokens.

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