Who ranks #1 on the Nmos leaderboard?
As of August 30, 2026, Qwen2.5-Omni-7B by Qwen ranks #1 on Nmos at 4.5%. API pricing is $0.10/M input and $0.40/M output.
As of August 30, 2026, Qwen2.5-Omni-7B is #1 for Nmos at 4.5%. Ranked by the Nmos score 1 models in this index have a published Nmos score. Nmos leaderboard: rank models by Nmos next to live API token prices.
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As of August 30, 2026, Qwen2.5-Omni-7B by Qwen is #1 for Nmos at 4.5%. Ranked by the Nmos score This board also tracks Nmos. This nmos leaderboard ranks models by Nmos. 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 | Nmos | Input /M | Output /M |
|---|---|---|---|---|
| 1 | Qwen2.5-Omni-7B | 4.5% | $0.10 | $0.40 |
Rank one eval at a time. All LLM benchmarks.
As of August 30, 2026, Qwen2.5-Omni-7B by Qwen ranks #1 on Nmos at 4.5%. API pricing is $0.10/M input and $0.40/M output.
Qwen2.5-Omni-7B currently leads Nmos and is also the cheapest scored model on this page, at $0.10/M input and $0.40/M output ($0.50 blended).
Not automatically. Qwen2.5-Omni-7B leads Nmos, but a cheaper scored model can be the better production choice if the quality gap is small. Use the table to weigh Nmos 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.
Nmos is a public LLM eval (the Nmos score). This page ranks models that have published a score, next to live API prices.
This page is the Nmos leaderboard. Models are sorted by Nmos, 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 Nmos score next to live API $/M so you can pick a production SKU, not only a trophy number.