instruction following benchmark
IFEval
Instruction-Following Evaluation (IFEval) benchmark for large language models, focusing on verifiable instructions with 25 types of instructions and around 500 prompts containing one or more verifiable constraints
Updated Aug 11, 2026
Models65
Model coverage65
MetricScore
EvidenceB
IFEval Ranking
Higher score ranks better on this benchmark.
IFEval Score Distribution
A closer view of the leading scores on this benchmark.
IFEval Highlights
The leading models and scores on this benchmark.
What is IFEval?
What IFEval measures and how its scores work.
Instruction-Following Evaluation (IFEval) benchmark for large language models, focusing on verifiable instructions with 25 types of instructions and around 500 prompts containing one or more verifiable constraints
Scores are shown in ratio. This benchmark is not independently verified and has an evidence level of B.
- Family
- IFEval
- Modality
- text
- Primary category
- instruction following
- Score direction
- higher
- LLMBoard eligible
- Yes
- Evaluation key
- ifeval|llm-stats-current
Benchmark scores retain their original unit. Overall score eligibility is shown separately.
FAQ
Common questions about IFEval.
Which model scores highest on IFEval?
Qwen3.5-27B is currently ranked first with 95.0%.
What does IFEval measure?
Instruction-Following Evaluation (IFEval) benchmark for large language models, focusing on verifiable instructions with 25 types of instructions and around 500 prompts containing one or more verifiable constraints
Is a higher score better?
Yes. Higher values rank better for this benchmark.
How many models are compared?
65 model results are currently shown.
Does this benchmark affect the overall score?
Yes. This benchmark can contribute to the current LLMBoard capability score.