Who ranks #1 on the MMLU-Redux leaderboard?
As of August 20, 2026, Qwen3.7 Max by Qwen ranks #1 on MMLU-Redux at 95%. API pricing is $1.25/M input and $3.75/M output.
As of August 20, 2026, Qwen3.7 Max is #1 for MMLU-Redux at 95%. Ranked by the MMLU-Redux score 37 models in this index have a published MMLU-Redux score. MMLU-Redux leaderboard: rank models by MMLU-Redux next to live API token prices.
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As of August 20, 2026, Qwen3.7 Max by Qwen is #1 for MMLU-Redux at 95%. Ranked by the MMLU-Redux score This board also tracks MMLU-Redux. Next on the same board: Qwen3.5-397B-A17B and Qwen3.7-Plus. This mmlu-redux leaderboard ranks models by MMLU-Redux. 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-Redux | Input /M | Output /M |
|---|---|---|---|---|
| 1 | Qwen3.7 Max | 95% | $1.25 | $3.75 |
| 2 | Qwen3.5-397B-A17B | 94.9% | $0.60 | $3.60 |
| 3 | Qwen3.7-Plus | 94.5% | $0.32 | $1.28 |
| 4 | Qwen3.6 Plus | 94.5% | $0.50 | $3.00 |
| 5 | Kimi K2-Thinking-0905 | 94.4% | $0.47 | $2.00 |
| 6 | Qwen3.5-122B-A10B | 94% | $0.40 | $3.20 |
| 7 | Qwen3-235B-A22B-Thinking-2507 | 93.8% | $0.30 | $3.00 |
| 8 | Qwen3 VL 235B A22B Thinking | 93.7% | $0.45 | $3.49 |
Rank one eval at a time. All LLM benchmarks.
As of August 20, 2026, Qwen3.7 Max by Qwen ranks #1 on MMLU-Redux at 95%. API pricing is $1.25/M input and $3.75/M output.
The current MMLU-Redux ranking as of August 20, 2026 is 1. Qwen3.7 Max at 95%; 2. Qwen3.5-397B-A17B at 94.9%; 3. Qwen3.7-Plus at 94.5%.
Qwen2.5-Coder 32B Instruct is the cheapest scored model on this mmlu-redux leaderboard at $0.09/M input and $0.09/M output ($0.18 blended). Qwen3.7 Max still leads MMLU-Redux at 95%.
Not automatically. Qwen3.7 Max leads MMLU-Redux, but a cheaper scored model can be the better production choice if the quality gap is small. Use the table to weigh MMLU-Redux 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.
MMLU-Redux is a public LLM eval (the MMLU-Redux score). This page ranks models that have published a score, next to live API prices.
This page is the MMLU-Redux leaderboard. Models are sorted by MMLU-Redux, 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-Redux score next to live API $/M so you can pick a production SKU, not only a trophy number.