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IFEval

Instruction Following Eval

500+ programmatically verifiable instruction constraints

📋 Instruction Following
Best: 94%
11 Models Evaluated
Champion

Claude Opus 4.7

Anthropic

94%

Best Score

Model Rankings

All models ranked by score on IFEval. Scores are relative to the best score of 94%.

#ModelProviderScorevs Best
1Claude Opus 4.7
Elo 1500
Anthropic
94%
Best
2Claude Opus 4.6
Elo 1503
Anthropic
94%
+0.0%
3Kimi K2.5
Elo 1438
Moonshot
94%
+0.0%
4Qwen 3.5
Elo 1450
Alibaba
92.6%
-1.4%
5GPT-5.5
Elo 1478
OpenAI
91%
-3.0%
6Nemotron Ultra 253B
Elo 1348
NVIDIA
89.5%
-4.5%
7GLM-5
Elo 1454
Zhipu AI
88%
-6.0%
8MiniMax M2.5
Elo 1404
MiniMax
87.5%
-6.5%
9Gemini 3.1 Pro
Elo 1492
Google
85%
-9.0%
10DeepSeek R1
Elo 1398
DeepSeek
83.3%
-10.7%
11Gemini 3 Pro
Elo 1486
Google
82%
-12.0%

Score Distribution

Claude Opus 4.7
94%
Claude Opus 4.6
94%
Kimi K2.5
94%
Qwen 3.5
92.6%
GPT-5.5
91%
Nemotron Ultra 253B
89.5%
GLM-5
88%
MiniMax M2.5
87.5%
Gemini 3.1 Pro
85%
DeepSeek R1
83.3%

Run This Benchmark

Learn how to evaluate your own models on IFEval.

IFEval is a standardized benchmark for evaluating AI model capabilities.

To run this benchmark on your own models, visit the official benchmark page or leaderboard for detailed instructions, code, and evaluation scripts.

Data compiled from official model cards, public leaderboards, and independent evaluations.