Qwen2-VL-72B for ocr
Qwen2-VL-72B is ranked #4 on LLMDex's llm for ocr ranking out of 4 models we track for this use case. Below, the specific reasons it slots where it does, and when you should reach for an alternative.
Updated
At a glance
- Rank
- #4 of 4
- Context
- 128K tokens
- Output / 1M
- Pricing not published
- Released
- Aug 2024
Why Qwen2-VL-72B fits this task
Three things about Qwen2-VL-72B that map directly onto what this task rewards: Strong on documents. Beyond the task-specific fit, Qwen2-VL-72B also brings top open vision-language model and apache-2.0, both of which compound when the workload broadens.
The criteria this task rewards
LLMDex ranks best llm for ocr on 5 criteria , these are the axes the ranking uses, in priority order:
- Word error rate on real document images
- Table-structure preservation
- Multi-column layout handling
- Handwriting recognition (where applicable)
- Per-page cost vs. dedicated OCR APIs
How Qwen2-VL-72B scores on each axis
Where Qwen2-VL-72B costs you: heavy at 72b. For most teams this is acceptable on this workload, the value of the strengths above outweighs the cost. For cost-bound workloads or teams with strict latency budgets, run an eval against the next two ranked models on real data before committing.
Strengths that pay off here
- Top open vision-language model
- Apache-2.0
- Strong on documents
Tracked weaknesses
- Heavy at 72B
When to pick something else
If you can pay slightly more or accept slightly different tradeoffs, Claude Opus 4.7 from Anthropic ranks one position higher and tends to win on the hardest cases. Anthropic's mid-2026 flagship, ahead on SWE-bench, agent reliability, and writing quality.
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Other models for ocr
- Gemini 3 Pro for ocr
Google's late-2025 flagship, set new benchmarks on long-context, vision, and reasoning at competitive pricing.
Read guide - GPT-5.5 for ocr
OpenAI's mid-cycle GPT-5 refresh, improved reasoning, tool use, and multimodal grounding over the 2025 launch.
Read guide - Claude Opus 4.7 for ocr
Anthropic's mid-2026 flagship, ahead on SWE-bench, agent reliability, and writing quality.
Read guide
Qwen2-VL-72B for other use cases
Direct comparisons
Frequently asked
Is Qwen2-VL-72B good for ocr?
Qwen2-VL-72B is ranked #4 on LLMDex's ocr list. Top open-weight vision-language model, strong on document understanding and chart analysis.How much does Qwen2-VL-72B cost for ocr?
Alibaba has not published per-token pricing for Qwen2-VL-72B at the time of writing.What's a cheaper alternative to Qwen2-VL-72B for ocr?
Look at the full Best LLM for OCR ranking for cheaper picks at lower ranks.When should I NOT use Qwen2-VL-72B for ocr?
Tracked weakness: Heavy at 72B. If that constraint is binding for your workload, the next-ranked model on this task is the safer pick.
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