Who ranks #1 on the Maverix leaderboard?
As of August 30, 2026, Nova 2 Omni by Amazon ranks #1 on Maverix at 66.6%. API pricing is $0.30/M input and $2.50/M output.
As of August 30, 2026, Nova 2 Omni is #1 for Maverix at 66.6%. Ranked by the Maverix score 1 models in this index have a published Maverix score. Maverix leaderboard: rank models by Maverix next to live API token prices.
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As of August 30, 2026, Nova 2 Omni by Amazon is #1 for Maverix at 66.6%. Ranked by the Maverix score This board also tracks Maverix. This maverix leaderboard ranks models by Maverix. 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 | Maverix | Input /M | Output /M |
|---|---|---|---|---|
| 1 | Nova 2 Omni | 66.6% | $0.30 | $2.50 |
Rank one eval at a time. All LLM benchmarks.
As of August 30, 2026, Nova 2 Omni by Amazon ranks #1 on Maverix at 66.6%. API pricing is $0.30/M input and $2.50/M output.
Nova 2 Omni currently leads Maverix and is also the cheapest scored model on this page, at $0.30/M input and $2.50/M output ($2.80 blended).
Not automatically. Nova 2 Omni leads Maverix, but a cheaper scored model can be the better production choice if the quality gap is small. Use the table to weigh Maverix 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.
Maverix is a public LLM eval (the Maverix score). This page ranks models that have published a score, next to live API prices.
This page is the Maverix leaderboard. Models are sorted by Maverix, 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 Maverix score next to live API $/M so you can pick a production SKU, not only a trophy number.