Who ranks #1 on the Mmlu Base leaderboard?
As of August 30, 2026, Qwen2.5-Coder 7B Instruct by Qwen ranks #1 on Mmlu Base at 68%. 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 Mmlu Base at 68%. Ranked by the Mmlu Base score 1 models in this index have a published Mmlu Base score. Mmlu Base leaderboard: rank models by Mmlu Base 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 Mmlu Base at 68%. Ranked by the Mmlu Base score This board also tracks Mmlu Base. This mmlu base leaderboard ranks models by Mmlu Base. 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 | Mmlu Base | Input /M | Output /M |
|---|---|---|---|---|
| 1 | Qwen2.5-Coder 7B Instruct | 68% | $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 Mmlu Base at 68%. API pricing is $0.30/M input and $0.30/M output.
Qwen2.5-Coder 7B Instruct currently leads Mmlu Base 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 Mmlu Base, but a cheaper scored model can be the better production choice if the quality gap is small. Use the table to weigh Mmlu Base 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.
Mmlu Base is a public LLM eval (the Mmlu Base score). This page ranks models that have published a score, next to live API prices.
This page is the Mmlu Base leaderboard. Models are sorted by Mmlu Base, 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 Mmlu Base score next to live API $/M so you can pick a production SKU, not only a trophy number.