Instruction following · OpenAI

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

GPT-4.1 Nano scores 80.3 on IFEval, placing it #328 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
80.3
0–100 scale
Rank
#328
of 600
Percentile
45th
within the index
Benchmark avg
78.6
all models
Leader
96.1
Claude Opus 4.5 Pro
Gap to leader
15.8
points

Score distribution

The chart shows the top 10 models on IFEval, with GPT-4.1 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, GPT-4.1 Nano sits at #328 of 600. The leader, Claude Opus 4.5 Pro, scores 96.1, so the gap to the top is 15.8 points. The median model in this index scores 81.2, which puts GPT-4.1 Nano below the midpoint.

OpenAI models average 89.7 on this benchmark. GPT-4.1 Nano is 9.4 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. GPT-4.1 Nano is 3.8 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 80.3 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 $7.42 per million input tokens, GPT-4.1 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
Mixtral Groq Chat Groq 8192 $3.09 72.0
Nova Lite Max Amazon 200000 $9.79 73.4
OLMo 2 Instruct Allen Institute for AI 32768 $3.03 71.7
Yi-Large Base 01.AI 16384 $2.78 70.3
GPT-4.1 Nano OpenAI 32768 $7.42 70.5
Mixtral Groq Instruct Groq 16384 $3.25 72.5
Mixtral Turbo Chat Together AI 32768 $3.02 71.7

Other benchmarks for GPT-4.1 Nano

BenchmarkScoreRankPercentileRelative
MMLU-Pro 74.0 352 41th
GPQA Diamond 65.8 345 43th
SWE-bench Verified 59.7 332 45th
HumanEval 72.0 379 37th
MATH-500 75.3 319 47th
AIME 2025 59.5 390 35th
LiveCodeBench 64.3 310 48th
TruthfulQA 75.3 325 46th
HellaSwag 82.5 334 44th
MMMU 66.6 363 40th
Arena Elo 1352.6 360 40th

FAQ

What score does GPT-4.1 Nano get on IFEval?

GPT-4.1 Nano scores 80.3 on IFEval in this index. The benchmark average is 78.6 and the top score is 96.1.

How does GPT-4.1 Nano rank on IFEval?

It ranks #328 of 600 models, in the 45th percentile. The leader is Claude Opus 4.5 Pro at 96.1.

Is GPT-4.1 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 GPT-4.1 Nano cost?

GPT-4.1 Nano costs $7.42 per million input tokens and $32.36 per million output tokens.

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