Who ranks #1 on the Ocrbench V2 En leaderboard?
As of August 20, 2026, Qwen3 VL 32B Instruct by Qwen ranks #1 on Ocrbench V2 En at 67.4%. API pricing is $0.10/M input and $0.42/M output.
As of August 20, 2026, Qwen3 VL 32B Instruct is #1 for Ocrbench V2 En at 67.4%. Ranked by the Ocrbench V2 En score 10 models in this index have a published Ocrbench V2 En score. Ocrbench V2 En leaderboard: rank models by Ocrbench V2 En next to live API token prices.
Next step
Auth, billing, and the API layer are already decided. Fork 8 finished AI apps, or have us build the first version with you.
The index
282 models across 33 providers. Search or jump to a lab — every model page stays linked here.







As of August 20, 2026, Qwen3 VL 32B Instruct by Qwen is #1 for Ocrbench V2 En at 67.4%. Ranked by the Ocrbench V2 En score This board also tracks Ocrbench V2 En. Next on the same board: Qwen3 VL 235B A22B Instruct and Qwen3 VL 235B A22B Thinking. This ocrbench v2 en leaderboard ranks models by Ocrbench V2 En. 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 | Ocrbench V2 En | Input /M | Output /M |
|---|---|---|---|---|
| 1 | Qwen3 VL 32B Instruct | 67.4% | $0.10 | $0.42 |
| 2 | Qwen3 VL 235B A22B Instruct | 67.1% | $0.30 | $1.49 |
| 3 | Qwen3 VL 235B A22B Thinking | 66.8% | $0.45 | $3.49 |
| 4 | Qwen3 VL 8B Instruct | 65.4% | $0.08 | $0.50 |
| 5 | Qwen3 VL 8B Thinking | 63.9% | $0.18 | $2.09 |
| 6 | Qwen3 VL 4B Instruct | 63.7% | $0.10 | $0.60 |
| 7 | Qwen3 VL 30B A3B Instruct | 63.2% | $0.20 | $0.70 |
| 8 | Qwen3 VL 30B A3B Thinking | 62.6% | $0.20 | $1.00 |
Rank one eval at a time. All LLM benchmarks.
As of August 20, 2026, Qwen3 VL 32B Instruct by Qwen ranks #1 on Ocrbench V2 En at 67.4%. API pricing is $0.10/M input and $0.42/M output.
The current Ocrbench V2 En ranking as of August 20, 2026 is 1. Qwen3 VL 32B Instruct at 67.4%; 2. Qwen3 VL 235B A22B Instruct at 67.1%; 3. Qwen3 VL 235B A22B Thinking at 66.8%.
Qwen3 VL 32B Instruct currently leads Ocrbench V2 En and is also the cheapest scored model on this page, at $0.10/M input and $0.42/M output ($0.52 blended).
Not automatically. Qwen3 VL 32B Instruct leads Ocrbench V2 En, but a cheaper scored model can be the better production choice if the quality gap is small. Use the table to weigh Ocrbench V2 En 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.
Ocrbench V2 En is a public LLM eval (the Ocrbench V2 En score). This page ranks models that have published a score, next to live API prices.
This page is the Ocrbench V2 En leaderboard. Models are sorted by Ocrbench V2 En, 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 Ocrbench V2 En score next to live API $/M so you can pick a production SKU, not only a trophy number.