Who ranks #1 on the Ojbench Cpp leaderboard?
As of August 20, 2026, Kimi K2.5 by Moonshot AI ranks #1 on Ojbench Cpp at 57.4%. API pricing is $0.59/M input and $3.09/M output.
As of August 20, 2026, Kimi K2.5 is #1 for Ojbench Cpp at 57.4%. Ranked by the Ojbench Cpp score 1 models in this index have a published Ojbench Cpp score. Ojbench Cpp leaderboard: rank models by Ojbench Cpp next to live API token prices.
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As of August 20, 2026, Kimi K2.5 by Moonshot AI is #1 for Ojbench Cpp at 57.4%. Ranked by the Ojbench Cpp score This board also tracks Ojbench Cpp. This ojbench cpp leaderboard ranks models by Ojbench Cpp. 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 | Ojbench Cpp | Input /M | Output /M |
|---|---|---|---|---|
| 1 | Kimi K2.5 | 57.4% | $0.59 | $3.09 |
Rank one eval at a time. All LLM benchmarks.
As of August 20, 2026, Kimi K2.5 by Moonshot AI ranks #1 on Ojbench Cpp at 57.4%. API pricing is $0.59/M input and $3.09/M output.
Kimi K2.5 currently leads Ojbench Cpp and is also the cheapest scored model on this page, at $0.59/M input and $3.09/M output ($3.68 blended).
Not automatically. Kimi K2.5 leads Ojbench Cpp, but a cheaper scored model can be the better production choice if the quality gap is small. Use the table to weigh Ojbench Cpp 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.
Ojbench Cpp is a public LLM eval (the Ojbench Cpp score). This page ranks models that have published a score, next to live API prices.
This page is the Ojbench Cpp leaderboard. Models are sorted by Ojbench Cpp, 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 Ojbench Cpp score next to live API $/M so you can pick a production SKU, not only a trophy number.