Who ranks #1 on the Docvqa leaderboard?
As of August 31, 2026, Qwen2.5 VL 72B Instruct by Qwen ranks #1 on Docvqa at 96.4%. API pricing is $0.80/M input and $1.00/M output.
As of August 31, 2026, Qwen2.5 VL 72B Instruct is #1 for Docvqa at 96.4%. Ranked by the Docvqa score 27 models in this index have a published Docvqa score. Docvqa leaderboard: rank models by Docvqa next to live API token prices.
27 models. Left is cheaper. Up is a higher score. The line is the best score you can buy at each price โ a dot under it is a worse deal than something on the line.
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As of August 31, 2026, Qwen2.5 VL 72B Instruct by Qwen is #1 for Docvqa at 96.4%. Ranked by the Docvqa score This board also tracks Docvqa. Next on the same board: Qwen2.5 VL 7B Instruct and Qwen2.5-Omni-7B. This docvqa leaderboard ranks models by Docvqa. 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 | Docvqa | Input /M | Output /M |
|---|---|---|---|---|
| 1 | Qwen2.5 VL 72B Instruct | 96.4% | $0.80 | $1.00 |
| 2 | Qwen2.5 VL 7B Instruct | 95.7% | $0.30 | $0.30 |
| 3 | Qwen2.5-Omni-7B | 95.2% | $0.10 | $0.40 |
| 4 | Claude 3.5 Sonnet | 95.2% | $3.00 | $15.00 |
| 5 | Mistral Small 3.2 24B Instruct | 94.9% | $0.07 | $0.20 |
| 6 | Qwen2.5 VL 32B Instruct | 94.8% | $0.40 | $0.50 |
| 7 | Llama 4 Maverick | 94.4% | $0.17 | $0.85 |
| 8 | Llama 4 Scout | 94.4% | $0.08 | $0.30 |
Rank one eval at a time. All LLM benchmarks.
As of August 31, 2026, Qwen2.5 VL 72B Instruct by Qwen ranks #1 on Docvqa at 96.4%. API pricing is $0.80/M input and $1.00/M output.
The current Docvqa ranking as of August 31, 2026 is 1. Qwen2.5 VL 72B Instruct at 96.4%; 2. Qwen2.5 VL 7B Instruct at 95.7%; 3. Qwen2.5-Omni-7B at 95.2%.
Gemma 3 4B is the cheapest scored model on this docvqa leaderboard at $0.02/M input and $0.04/M output ($0.06 blended). Qwen2.5 VL 72B Instruct still leads Docvqa at 96.4%.
Not automatically. Qwen2.5 VL 72B Instruct leads Docvqa, but a cheaper scored model can be the better production choice if the quality gap is small. Use the table to weigh Docvqa 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 31, 2026. Treat it as a current index, not a one-off blog post.
Docvqa is a public LLM eval (the Docvqa score). This page ranks models that have published a score, next to live API prices.
This page is the Docvqa leaderboard. Models are sorted by Docvqa, 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 Docvqa score next to live API $/M so you can pick a production SKU, not only a trophy number.