Who ranks #1 on the Spider leaderboard?
As of August 20, 2026, Qwen3-Coder 480B A35B Instruct by Qwen ranks #1 on Spider at 31.1%. API pricing is $0.22/M input and $1.80/M output.
As of August 20, 2026, Qwen3-Coder 480B A35B Instruct is #1 for Spider at 31.1%. Ranked by the Spider score 1 models in this index have a published Spider score. Spider leaderboard: rank models by Spider next to live API token prices.
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As of August 20, 2026, Qwen3-Coder 480B A35B Instruct by Qwen is #1 for Spider at 31.1%. Ranked by the Spider score This board also tracks Spider. This spider leaderboard ranks models by Spider. 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 | Spider | Input /M | Output /M |
|---|---|---|---|---|
| 1 | Qwen3-Coder 480B A35B Instruct | 31.1% | $0.22 | $1.80 |
Rank one eval at a time. All LLM benchmarks.
As of August 20, 2026, Qwen3-Coder 480B A35B Instruct by Qwen ranks #1 on Spider at 31.1%. API pricing is $0.22/M input and $1.80/M output.
Qwen3-Coder 480B A35B Instruct currently leads Spider and is also the cheapest scored model on this page, at $0.22/M input and $1.80/M output ($2.02 blended).
Not automatically. Qwen3-Coder 480B A35B Instruct leads Spider, but a cheaper scored model can be the better production choice if the quality gap is small. Use the table to weigh Spider 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.
Spider is a public LLM eval (the Spider score). This page ranks models that have published a score, next to live API prices.
This page is the Spider leaderboard. Models are sorted by Spider, 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 Spider score next to live API $/M so you can pick a production SKU, not only a trophy number.