Who ranks #1 on the Pointgrounding leaderboard?
As of August 30, 2026, Qwen2.5-Omni-7B by Qwen ranks #1 on Pointgrounding at 66.5%. API pricing is $0.10/M input and $0.40/M output.
As of August 30, 2026, Qwen2.5-Omni-7B is #1 for Pointgrounding at 66.5%. Ranked by the Pointgrounding score 1 models in this index have a published Pointgrounding score. Pointgrounding leaderboard: rank models by Pointgrounding next to live API token prices.
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As of August 30, 2026, Qwen2.5-Omni-7B by Qwen is #1 for Pointgrounding at 66.5%. Ranked by the Pointgrounding score This board also tracks Pointgrounding. This pointgrounding leaderboard ranks models by Pointgrounding. 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 | Pointgrounding | Input /M | Output /M |
|---|---|---|---|---|
| 1 | Qwen2.5-Omni-7B | 66.5% | $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 Pointgrounding at 66.5%. API pricing is $0.10/M input and $0.40/M output.
Qwen2.5-Omni-7B currently leads Pointgrounding 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 Pointgrounding, but a cheaper scored model can be the better production choice if the quality gap is small. Use the table to weigh Pointgrounding 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.
Pointgrounding is a public LLM eval (the Pointgrounding score). This page ranks models that have published a score, next to live API prices.
This page is the Pointgrounding leaderboard. Models are sorted by Pointgrounding, 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 Pointgrounding score next to live API $/M so you can pick a production SKU, not only a trophy number.