Who ranks #1 on the Longcodebench leaderboard?
As of August 20, 2026, Nova 2 Lite by Amazon ranks #1 on Longcodebench at 84%. API pricing is $0.30/M input and $2.50/M output.
As of August 20, 2026, Nova 2 Lite is #1 for Longcodebench at 84%. Ranked by the Longcodebench score 1 models in this index have a published Longcodebench score. Longcodebench leaderboard: rank models by Longcodebench next to live API token prices.
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As of August 20, 2026, Nova 2 Lite by Amazon is #1 for Longcodebench at 84%. Ranked by the Longcodebench score This board also tracks Longcodebench. This longcodebench leaderboard ranks models by Longcodebench. 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 | Longcodebench | Input /M | Output /M |
|---|---|---|---|---|
| 1 | Nova 2 Lite | 84% | $0.30 | $2.50 |
Rank one eval at a time. All LLM benchmarks.
As of August 20, 2026, Nova 2 Lite by Amazon ranks #1 on Longcodebench at 84%. API pricing is $0.30/M input and $2.50/M output.
Nova 2 Lite currently leads Longcodebench and is also the cheapest scored model on this page, at $0.30/M input and $2.50/M output ($2.80 blended).
Not automatically. Nova 2 Lite leads Longcodebench, but a cheaper scored model can be the better production choice if the quality gap is small. Use the table to weigh Longcodebench 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.
Longcodebench is a public LLM eval (the Longcodebench score). This page ranks models that have published a score, next to live API prices.
This page is the Longcodebench leaderboard. Models are sorted by Longcodebench, 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 Longcodebench score next to live API $/M so you can pick a production SKU, not only a trophy number.