Who ranks #1 on the Stem leaderboard?
As of August 30, 2026, Qwen2.5-Coder 7B Instruct by Qwen ranks #1 on Stem at 34%. API pricing is $0.30/M input and $0.30/M output.
As of August 30, 2026, Qwen2.5-Coder 7B Instruct is #1 for Stem at 34%. Ranked by the Stem score 1 models in this index have a published Stem score. Stem leaderboard: rank models by Stem next to live API token prices.
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As of August 30, 2026, Qwen2.5-Coder 7B Instruct by Qwen is #1 for Stem at 34%. Ranked by the Stem score This board also tracks Stem. This stem leaderboard ranks models by Stem. 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 | Stem | Input /M | Output /M |
|---|---|---|---|---|
| 1 | Qwen2.5-Coder 7B Instruct | 34% | $0.30 | $0.30 |
Rank one eval at a time. All LLM benchmarks.
As of August 30, 2026, Qwen2.5-Coder 7B Instruct by Qwen ranks #1 on Stem at 34%. API pricing is $0.30/M input and $0.30/M output.
Qwen2.5-Coder 7B Instruct currently leads Stem and is also the cheapest scored model on this page, at $0.30/M input and $0.30/M output ($0.60 blended).
Not automatically. Qwen2.5-Coder 7B Instruct leads Stem, but a cheaper scored model can be the better production choice if the quality gap is small. Use the table to weigh Stem 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 30, 2026. Treat it as a current index, not a one-off blog post.
Stem is a public LLM eval (the Stem score). This page ranks models that have published a score, next to live API prices.
This page is the Stem leaderboard. Models are sorted by Stem, 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 Stem score next to live API $/M so you can pick a production SKU, not only a trophy number.