Who ranks #1 on the Evalplus leaderboard?
As of August 31, 2026, Kimi K2 Base by Moonshot AI ranks #1 on Evalplus at 80.3%. API pricing is $0.57/M input and $2.30/M output.
As of August 31, 2026, Kimi K2 Base is #1 for Evalplus at 80.3%. Ranked by the Evalplus score 4 models in this index have a published Evalplus score. Evalplus leaderboard: rank models by Evalplus next to live API token prices.
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As of August 31, 2026, Kimi K2 Base by Moonshot AI is #1 for Evalplus at 80.3%. Ranked by the Evalplus score This board also tracks Evalplus. Next on the same board: Qwen2 72B Instruct and Qwen3 235B A22B. This evalplus leaderboard ranks models by Evalplus. 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 | Evalplus | Input /M | Output /M |
|---|---|---|---|---|
| 1 | Kimi K2 Base | 80.3% | $0.57 | $2.30 |
| 2 | Qwen2 72B Instruct | 79% | $0.35 | $0.40 |
| 3 | Qwen3 235B A22B | 77.6% | $0.10 | $0.10 |
| 4 | Qwen2 7B Instruct | 70.3% | $0.30 | $0.30 |
Rank one eval at a time. All LLM benchmarks.
As of August 31, 2026, Kimi K2 Base by Moonshot AI ranks #1 on Evalplus at 80.3%. API pricing is $0.57/M input and $2.30/M output.
The current Evalplus ranking as of August 31, 2026 is 1. Kimi K2 Base at 80.3%; 2. Qwen2 72B Instruct at 79%; 3. Qwen3 235B A22B at 77.6%.
Qwen3 235B A22B is the cheapest scored model on this evalplus leaderboard at $0.10/M input and $0.10/M output ($0.20 blended). Kimi K2 Base still leads Evalplus at 80.3%.
Not automatically. Kimi K2 Base leads Evalplus, but a cheaper scored model can be the better production choice if the quality gap is small. Use the table to weigh Evalplus 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 31, 2026. Treat it as a current index, not a one-off blog post.
Evalplus is a public LLM eval (the Evalplus score). This page ranks models that have published a score, next to live API prices.
This page is the Evalplus leaderboard. Models are sorted by Evalplus, 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 Evalplus score next to live API $/M so you can pick a production SKU, not only a trophy number.