Best LLM for vision / ocr / image analysis
Image (or image + text) in, structured output.
Why this ranking is opinionated
Vision capability is mandatory; quality varies dramatically across models. Text-recognition (OCR) is largely solved; nuanced visual reasoning (diagrams, charts) is not.
Top 5 recommendations
ranked by monthly cost at this workload- · Cheapest qualifying option at this workload (~$0.00/mo).
- · ~$0.00/mo (+0% over the cheapest option).
- · 262,144 tokens of context — far above this use case's 32,000-token minimum.
- · ~$0.00/mo (+0% over the cheapest option).
- · 262,144 tokens of context — far above this use case's 32,000-token minimum.
- · ~$0.00/mo (+0% over the cheapest option).
- · 1,048,576 tokens of context — far above this use case's 32,000-token minimum.
- · ~$0.00/mo (+0% over the cheapest option).
- · 1,048,576 tokens of context — far above this use case's 32,000-token minimum.
Frequently asked questions
What makes a good LLM for vision / ocr / image analysis?
Vision capability is mandatory; quality varies dramatically across models. Text-recognition (OCR) is largely solved; nuanced visual reasoning (diagrams, charts) is not.
What capabilities matter most for vision / ocr / image analysis?
For vision / ocr / image analysis the typical filters are: vision, and a context window of at least 32k tokens. The ranking on this page weights monthly cost (at the workload defaults shown above) most heavily, then capability fit.
What is currently the cheapest LLM for vision / ocr / image analysis?
At the typical workload defaults, Qianfan-OCR-Fast (free) from Baidu Qianfan ranks cheapest right now (~$0 / month). Plug your own monthly token volumes into the calculator on this page for a workload-specific number.
Is the cheapest LLM always the right choice for vision / ocr / image analysis?
Not always. Cheap models often trade off reasoning quality, tool reliability, or context size. Use the cheapest as a baseline and benchmark against a tier-up model on your own evaluation set before committing to a contract — quality differences compound over millions of tokens.