Who ranks #1 on the Air Bench leaderboard?
As of August 30, 2026, MAI-Thinking-1 by Microsoft ranks #1 on Air Bench at 88%. API pricing is $0.15/M input and $0.60/M output.
As of August 30, 2026, MAI-Thinking-1 is #1 for Air Bench at 88%. Ranked by the Air Bench score 1 models in this index have a published Air Bench score. Air Bench leaderboard: rank models by Air Bench next to live API token prices.
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As of August 30, 2026, MAI-Thinking-1 by Microsoft is #1 for Air Bench at 88%. Ranked by the Air Bench score This board also tracks Air Bench. This air bench leaderboard ranks models by Air Bench. Scores come from public evals. Prices are the live API rates in the table above.
Sources: OpenAI API pricing (https://developers.openai.com/api/docs/pricing); Anthropic Claude API pricing (https://platform.claude.com/docs/en/about-claude/pricing); Gemini API pricing (https://ai.google.dev/gemini-api/docs/pricing)
| Rank | Model | Air Bench | Input /M | Output /M |
|---|---|---|---|---|
| 1 | MAI-Thinking-1 | 88% | $0.15 | $0.60 |
Rank one eval at a time. All LLM benchmarks.
As of August 30, 2026, MAI-Thinking-1 by Microsoft ranks #1 on Air Bench at 88%. API pricing is $0.15/M input and $0.60/M output.
MAI-Thinking-1 currently leads Air Bench and is also the cheapest scored model on this page, at $0.15/M input and $0.60/M output ($0.75 blended).
Not automatically. MAI-Thinking-1 leads Air Bench, but a cheaper scored model can be the better production choice if the quality gap is small. Use the table to weigh Air Bench against input/output price, context window, and related evals.
Scores and API prices on this page are refreshed from published evals and provider rates. The snapshot is labeled August 30, 2026. Treat it as a current index, not a one-off blog post.
Air Bench is a public LLM eval (the Air Bench score). This page ranks models that have published a score, next to live API prices.
This page is the Air Bench leaderboard. Models are sorted by Air Bench, with input and output token prices on the same row so you can weigh score against cost. Official boards often omit price; that comparison is the point of this index.
Official eval pages own the methodology. This page keeps the published Air Bench score next to live API $/M so you can pick a production SKU, not only a trophy number.