Who ranks #1 on the Hle Full leaderboard?
As of August 20, 2026, Kimi K3 by Moonshot AI ranks #1 on Hle Full at 43.5%. API pricing is $3.00/M input and $15.00/M output.
As of August 20, 2026, Kimi K3 is #1 for Hle Full at 43.5%. Ranked by the Hle Full score 1 models in this index have a published Hle Full score. Hle Full leaderboard: rank models by Hle Full next to live API token prices.
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As of August 20, 2026, Kimi K3 by Moonshot AI is #1 for Hle Full at 43.5%. Ranked by the Hle Full score This board also tracks Hle Full. This hle full leaderboard ranks models by Hle Full. 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 | Hle Full | Input /M | Output /M |
|---|---|---|---|---|
| 1 | Kimi K3 | 43.5% | $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 Hle Full at 43.5%. API pricing is $3.00/M input and $15.00/M output.
Kimi K3 currently leads Hle Full 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 Hle Full, but a cheaper scored model can be the better production choice if the quality gap is small. Use the table to weigh Hle Full 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.
Hle Full is a public LLM eval (the Hle Full score). This page ranks models that have published a score, next to live API prices.
This page is the Hle Full leaderboard. Models are sorted by Hle Full, 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 Hle Full score next to live API $/M so you can pick a production SKU, not only a trophy number.