Who ranks #1 on the Mmsibench leaderboard?
As of August 20, 2026, Seed 2.1 Turbo by ByteDance ranks #1 on Mmsibench at 31.4%. API pricing is $0.50/M input and $2.50/M output.
As of August 20, 2026, Seed 2.1 Turbo is #1 for Mmsibench at 31.4%. Ranked by the Mmsibench score 1 models in this index have a published Mmsibench score. Mmsibench leaderboard: rank models by Mmsibench next to live API token prices.
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As of August 20, 2026, Seed 2.1 Turbo by ByteDance is #1 for Mmsibench at 31.4%. Ranked by the Mmsibench score This board also tracks Mmsibench. This mmsibench leaderboard ranks models by Mmsibench. 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 | Mmsibench | Input /M | Output /M |
|---|---|---|---|---|
| 1 | Seed 2.1 Turbo | 31.4% | $0.50 | $2.50 |
Rank one eval at a time. All LLM benchmarks.
As of August 20, 2026, Seed 2.1 Turbo by ByteDance ranks #1 on Mmsibench at 31.4%. API pricing is $0.50/M input and $2.50/M output.
Seed 2.1 Turbo currently leads Mmsibench and is also the cheapest scored model on this page, at $0.50/M input and $2.50/M output ($3.00 blended).
Not automatically. Seed 2.1 Turbo leads Mmsibench, but a cheaper scored model can be the better production choice if the quality gap is small. Use the table to weigh Mmsibench 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.
Mmsibench is a public LLM eval (the Mmsibench score). This page ranks models that have published a score, next to live API prices.
This page is the Mmsibench leaderboard. Models are sorted by Mmsibench, 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 Mmsibench score next to live API $/M so you can pick a production SKU, not only a trophy number.