Who ranks #1 on the Deepsearchqa F1 leaderboard?
As of August 20, 2026, Kimi K3 by Moonshot AI ranks #1 on Deepsearchqa F1 at 95%. API pricing is $3.00/M input and $15.00/M output.
As of August 20, 2026, Kimi K3 is #1 for Deepsearchqa F1 at 95%. Ranked by the Deepsearchqa F1 score 1 models in this index have a published Deepsearchqa F1 score. Deepsearchqa F1 leaderboard: rank models by Deepsearchqa F1 next to live API token prices.
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As of August 20, 2026, Kimi K3 by Moonshot AI is #1 for Deepsearchqa F1 at 95%. Ranked by the Deepsearchqa F1 score This board also tracks Deepsearchqa F1. This deepsearchqa f1 leaderboard ranks models by Deepsearchqa F1. 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 | Deepsearchqa F1 | Input /M | Output /M |
|---|---|---|---|---|
| 1 | Kimi K3 | 95% | $3.00 | $15.00 |
Rank one eval at a time. All LLM benchmarks.
As of August 20, 2026, Kimi K3 by Moonshot AI ranks #1 on Deepsearchqa F1 at 95%. API pricing is $3.00/M input and $15.00/M output.
Kimi K3 currently leads Deepsearchqa F1 and is also the cheapest scored model on this page, at $3.00/M input and $15.00/M output ($18.00 blended).
Not automatically. Kimi K3 leads Deepsearchqa F1, but a cheaper scored model can be the better production choice if the quality gap is small. Use the table to weigh Deepsearchqa F1 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 20, 2026. Treat it as a current index, not a one-off blog post.
Deepsearchqa F1 is a public LLM eval (the Deepsearchqa F1 score). This page ranks models that have published a score, next to live API prices.
This page is the Deepsearchqa F1 leaderboard. Models are sorted by Deepsearchqa F1, 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 Deepsearchqa F1 score next to live API $/M so you can pick a production SKU, not only a trophy number.