instruction following benchmark
Robust IF evaluates instruction-following robustness on diverse, hard prompts, measuring whether a model reliably adheres to constraints across challenging single-turn and multi-turn scenarios.
Updated Aug 11, 2026
Higher score ranks better on this benchmark.
| 01 | MI | 61.2% | 100.0% | 1 | C |
The leading models and scores on this benchmark.
What Robust IF measures and how its scores work.
Robust IF evaluates instruction-following robustness on diverse, hard prompts, measuring whether a model reliably adheres to constraints across challenging single-turn and multi-turn scenarios.
Scores are shown in ratio. This benchmark is not independently verified and has an evidence level of B.
Benchmark scores retain their original unit. Overall score eligibility is shown separately.
Common questions about Robust IF.
MAI-Code-1-Flash is currently ranked first with 61.2%.
Robust IF evaluates instruction-following robustness on diverse, hard prompts, measuring whether a model reliably adheres to constraints across challenging single-turn and multi-turn scenarios.
Yes. Higher values rank better for this benchmark.
1 model results are currently shown.
No. This benchmark is shown for reference but does not contribute to the overall score.