Who ranks #1 on the Deepswe V1 1 leaderboard?
As of August 20, 2026, Gemini 3.6 Flash by Google ranks #1 on Deepswe V1 1 at 49%. API pricing is $0.75/M input and $3.75/M output.
As of August 20, 2026, Gemini 3.6 Flash is #1 for Deepswe V1 1 at 49%. Ranked by the Deepswe V1 1 score 1 models in this index have a published Deepswe V1 1 score. Deepswe V1 1 leaderboard: rank models by Deepswe V1 1 next to live API token prices.
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As of August 20, 2026, Gemini 3.6 Flash by Google is #1 for Deepswe V1 1 at 49%. Ranked by the Deepswe V1 1 score This board also tracks Deepswe V1 1. This deepswe v1 1 leaderboard ranks models by Deepswe V1 1. 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 | Deepswe V1 1 | Input /M | Output /M |
|---|---|---|---|---|
| 1 | Gemini 3.6 Flash | 49% | $0.75 | $3.75 |
Rank one eval at a time. All LLM benchmarks.
As of August 20, 2026, Gemini 3.6 Flash by Google ranks #1 on Deepswe V1 1 at 49%. API pricing is $0.75/M input and $3.75/M output.
Gemini 3.6 Flash currently leads Deepswe V1 1 and is also the cheapest scored model on this page, at $0.75/M input and $3.75/M output ($4.50 blended).
Not automatically. Gemini 3.6 Flash leads Deepswe V1 1, but a cheaper scored model can be the better production choice if the quality gap is small. Use the table to weigh Deepswe V1 1 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.
Deepswe V1 1 is a public LLM eval (the Deepswe V1 1 score). This page ranks models that have published a score, next to live API prices.
This page is the Deepswe V1 1 leaderboard. Models are sorted by Deepswe V1 1, 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 Deepswe V1 1 score next to live API $/M so you can pick a production SKU, not only a trophy number.