Instruction following · OpenAI

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

GPT-4.1 Vision scores 88.7 on IFEval, placing it #89 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
88.7
0–100 scale
Rank
#89
of 600
Percentile
85th
within the index
Benchmark avg
78.6
all models
Leader
96.1
Claude Opus 4.5 Pro
Gap to leader
7.4
points

Score distribution

The chart shows the top 10 models on IFEval, with GPT-4.1 Vision 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 Vision sits at #89 of 600. The leader, Claude Opus 4.5 Pro, scores 96.1, so the gap to the top is 7.4 points. The median model in this index scores 81.2, which puts GPT-4.1 Vision above the midpoint.

OpenAI models average 89.7 on this benchmark. GPT-4.1 Vision is 1.0 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 Vision is 3.5 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 88.7 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 $14.88 per million input tokens, GPT-4.1 Vision 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 Turbo Google DeepMind 200000 $17.07 84.1
Llama 4 Maverick Instruct Meta AI 200000 $5.33 81.7
Doubao 1.5 Pro Reasoning ByteDance 128000 $14.56 81.6
ERNIE 4.5 Reasoning Baidu 1000000 $14.36 79.8
GPT-4.1 Vision OpenAI 1000000 $14.88 82.0
o3 OpenAI 400000 $16.80 84.5
DeepSeek-V3.2 Chat DeepSeek 1000000 $5.80 82.5

Other benchmarks for GPT-4.1 Vision

BenchmarkScoreRankPercentileRelative
MMLU-Pro 84.0 82 86th
GPQA Diamond 79.3 68 89th
SWE-bench Verified 72.4 70 88th
HumanEval 86.8 92 85th
MATH-500 87.5 71 88th
AIME 2025 77.2 128 79th
LiveCodeBench 74.3 102 83th
TruthfulQA 84.4 76 87th
HellaSwag 89.7 93 85th
MMMU 77.5 106 82th
Arena Elo 1451.8 69 89th

FAQ

What score does GPT-4.1 Vision get on IFEval?

GPT-4.1 Vision scores 88.7 on IFEval in this index. The benchmark average is 78.6 and the top score is 96.1.

How does GPT-4.1 Vision rank on IFEval?

It ranks #89 of 600 models, in the 85th percentile. The leader is Claude Opus 4.5 Pro at 96.1.

Is GPT-4.1 Vision 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 Vision cost?

GPT-4.1 Vision costs $14.88 per million input tokens and $81.24 per million output tokens.

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