Qianfan-OCR-Fast vs Nano Banana (Gemini 2.5 Flash Image)
Qianfan-OCR-Fast
Nano Banana (Gemini 2.5 Flash Image)
| Qianfan-OCR-Fast | Nano Banana (Gemini 2.5 Flash Image) | |
|---|---|---|
| Provider | Baidu Qianfan | |
| Context window Maximum tokens (input + output) the model can process in a single request. Glossary β | 65,536 | 32,768 |
| Capabilities Optional capabilities the model advertises: vision (images), tools (function calling), json_mode (structured output). | vision | vision, json_mode |
| Input $ / 1M tokens Cost for tokens you send (prompt + context). Cheaper side highlighted. Glossary β | 0.6800 | 0.3000 |
| Output $ / 1M tokens Cost for tokens the model generates. Output is normally 3β5Γ pricier than input. Glossary β | 2.8100 | 2.5000 |
Frequently asked questions
Which is cheaper, Qianfan-OCR-Fast or Nano Banana (Gemini 2.5 Flash Image)?
Nano Banana (Gemini 2.5 Flash Image) is cheaper than Qianfan-OCR-Fast on a 50/50 input/output blend by about $0.345 per 1M tokens. Exact savings depend on your input-vs-output ratio β use the cost calculator on this page for a workload-specific estimate.
Which has a larger context window, Qianfan-OCR-Fast or Nano Banana (Gemini 2.5 Flash Image)?
Qianfan-OCR-Fast has the larger context window at 66k tokens versus 33k tokens for Nano Banana (Gemini 2.5 Flash Image). That means Qianfan-OCR-Fast can ingest about 2.0x as much text per request.
What is the difference between Qianfan-OCR-Fast and Nano Banana (Gemini 2.5 Flash Image)?
Qianfan-OCR-Fast comes from Baidu Qianfan; Nano Banana (Gemini 2.5 Flash Image) comes from Google. They differ in pricing, context window, and supported capabilities β see the side-by-side table on this page for the exact figures, refreshed nightly.