llmboard.ai
Benchmarks
CompareRankings
llmboard.ai
Benchmarks
CompareRankings
HomeBenchmarkssafetyAIR-Bench

safety benchmark

AIR-Bench

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 11, 2026

Models1
Model coverage1
MetricScore
EvidenceB

On this page

  • Ranking
  • Highlights
  • About
  • FAQ

AIR-Bench Ranking

Higher score ranks better on this benchmark.

1 rows
Columns

Show columns

1MIMAI-Thinking-1Microsoft88.0%100.0%1CAug 11, 2026

AIR-Bench Highlights

The leading models and scores on this benchmark.

Rank #1MAI-Thinking-188.0%

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.

Rankings

OverallCodingText ArenaPricing

Modalities

All ModelsImage GenerationImage EditingVideo GenerationImage-to-VideoVideo EditingText-to-SpeechSpeech-to-TextEmbeddings

Benchmarks

All BenchmarksReasoningMathCoding

Vendors

All VendorsOpenAIAnthropicGoogle
llmboard.aiCopyright 2026 llmboard.ai