safety benchmark
AIR-Bench Leaderboard
AIR-Bench 2024 is a safety benchmark grounded in risk categories derived from government regulations and company policies. It evaluates policy-grounded refusal across a broad regulatory and policy-derived harm taxonomy, using category-specific LLM-judge prompts that reward safe engagement rather than only penalizing unsafe responses.
Updated Aug 17, 2026
Models1
Model coverage1
MetricScore
EvidenceB
AIR-Bench Ranking
Higher score ranks better on this benchmark.
Sort by
Rank | Model | Score | Percentile | Participants | Evidence | Evaluated |
|---|
| Rank01 | ModelMI | Score88.0% | Percentile100.0% | Participants1 | EvidenceC | Evaluated |
AIR-Bench Highlights
The leading models and scores on this benchmark.
The Top AI Models for AIR-Bench
The first five results on this benchmark, with official price and output speed added where the model identity can be matched.
Ranking basisThis air-bench AI model leaderboard uses descending score in the benchmark's original unit. The leaderboard ranking keeps matched price and speed data separate from benchmark evidence.
- 01MIMAI-Thinking-1Microsoft
- Score
- 88.0%
Strengths
- Ranks #1 of 1 compared models
- 100th percentile on this benchmark
- C evidence result
Considerations
- This result measures AIR-Bench, not total model capability
Selection summary
Best AI Models for AIR-Bench
MAI-Thinking-1 currently leads AIR-Bench with 88.0%. It is the top model on this specific benchmark, while the best LLM for the broader task should also be checked against other benchmarks, price and runtime.
Use this leaderboard with the supporting benchmark results and coverage details above. A leaderboard position summarizes the selected ranking signal; it does not replace workload-specific testing.
What is AIR-Bench?
What AIR-Bench measures and how its scores work.
AIR-Bench 2024 is a safety benchmark grounded in risk categories derived from government regulations and company policies. It evaluates policy-grounded refusal across a broad regulatory and policy-derived harm taxonomy, using category-specific LLM-judge prompts that reward safe engagement rather than only penalizing unsafe responses.
Scores are shown in ratio. This benchmark is not independently verified and has an evidence level of B.
- Family
- AIR-Bench
- Modality
- text
- Primary category
- safety
- Score direction
- higher
- LLMBoard eligible
- No
- Evaluation key
- air-bench|llm-stats-current
Benchmark scores retain their original unit. Overall score eligibility is shown separately.
FAQ
Common questions about AIR-Bench.
Which model scores highest on AIR-Bench?
MAI-Thinking-1 is currently ranked first with 88.0%.
What does AIR-Bench measure?
AIR-Bench 2024 is a safety benchmark grounded in risk categories derived from government regulations and company policies. It evaluates policy-grounded refusal across a broad regulatory and policy-derived harm taxonomy, using category-specific LLM-judge prompts that reward safe engagement rather than only penalizing unsafe responses.
Is a higher score better?
Yes. Higher values rank better for this benchmark.
How many models are compared?
1 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.