Instruction following · OpenAI

GPT-4.1 Mini on IFEval: score, rank and what it means

GPT-4.1 Mini scores 81.4 on IFEval, placing it #289 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
81.4
0–100 scale
Rank
#289
of 600
Percentile
52th
within the index
Benchmark avg
78.6
all models
Leader
96.1
Claude Opus 4.5 Pro
Gap to leader
14.7
points

Score distribution

The chart shows the top 10 models on IFEval, with GPT-4.1 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, GPT-4.1 Mini sits at #289 of 600. The leader, Claude Opus 4.5 Pro, scores 96.1, so the gap to the top is 14.7 points. The median model in this index scores 81.2, which puts GPT-4.1 Mini above the midpoint.

OpenAI models average 89.7 on this benchmark. GPT-4.1 Mini is 8.3 points below that provider line, so it is a weaker result than the average OpenAI model.

Among multimodal models, the average is 85.2. GPT-4.1 Mini is 3.8 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 81.4 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 $10.43 per million input tokens, GPT-4.1 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
Seed-OSS ByteDance 32768 $3.74 75.3
o4 Nano OpenAI 65536 $8.61 72.0
Gemini 2.5 Pro Mini Google DeepMind 128000 $10.07 74.2
Fusion Max OpenRouter 65536 $9.14 72.5
GPT-4.1 Mini OpenAI 128000 $10.43 74.3
Llama 3 DeepInfra DeepInfra 128000 $3.67 74.0
Llama 3 DeepInfra Chat DeepInfra 200000 $3.74 75.0

Other benchmarks for GPT-4.1 Mini

BenchmarkScoreRankPercentileRelative
MMLU-Pro 76.7 285 53th
GPQA Diamond 69.3 285 53th
SWE-bench Verified 60.9 304 49th
HumanEval 78.9 267 56th
MATH-500 77.9 259 57th
AIME 2025 66.9 314 48th
LiveCodeBench 67.0 249 59th
TruthfulQA 79.8 185 69th
HellaSwag 84.9 250 58th
MMMU 73.9 195 68th
Arena Elo 1379.7 274 54th

FAQ

What score does GPT-4.1 Mini get on IFEval?

GPT-4.1 Mini scores 81.4 on IFEval in this index. The benchmark average is 78.6 and the top score is 96.1.

How does GPT-4.1 Mini rank on IFEval?

It ranks #289 of 600 models, in the 52nd percentile. The leader is Claude Opus 4.5 Pro at 96.1.

Is GPT-4.1 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 GPT-4.1 Mini cost?

GPT-4.1 Mini costs $10.43 per million input tokens and $49.01 per million output tokens.

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