instruction following benchmark
AdvancedIF
AdvancedIF is a rubric-based benchmark measuring complex, multi-turn, and system-prompted instruction following ability, scored with a calibrated LLM judge against per-instruction rubrics.
Updated Aug 11, 2026
Models2
Model coverage2
MetricScore
EvidenceB
AdvancedIF Ranking
Higher score ranks better on this benchmark.
| 01 | MI | 85.0% | 100.0% | 2 | C | |
| 02 | MI | 71.4% | 0.0% | 2 | C |
AdvancedIF Score Distribution
A closer view of the leading scores on this benchmark.
AdvancedIF Highlights
The leading models and scores on this benchmark.
What is AdvancedIF?
What AdvancedIF measures and how its scores work.
AdvancedIF is a rubric-based benchmark measuring complex, multi-turn, and system-prompted instruction following ability, scored with a calibrated LLM judge against per-instruction rubrics.
Scores are shown in ratio. This benchmark is not independently verified and has an evidence level of B.
- Family
- AdvancedIF
- Modality
- text
- Primary category
- instruction following
- Score direction
- higher
- LLMBoard eligible
- No
- Evaluation key
- advancedif|llm-stats-current
Benchmark scores retain their original unit. Overall score eligibility is shown separately.
FAQ
Common questions about AdvancedIF.
Which model scores highest on AdvancedIF?
MAI-Thinking-1 is currently ranked first with 85.0%.
What does AdvancedIF measure?
AdvancedIF is a rubric-based benchmark measuring complex, multi-turn, and system-prompted instruction following ability, scored with a calibrated LLM judge against per-instruction rubrics.
Is a higher score better?
Yes. Higher values rank better for this benchmark.
How many models are compared?
2 model results are currently shown.
Does this benchmark affect the overall score?
No. This benchmark is shown for reference but does not contribute to the overall score.