Side-by-side comparison
Mistral Small 3.1 24B vs Qianfan-OCR-Fast
Mistral
Mistral Small 3.1 24B
👁 Vision
Input / 1M
$0.3500
Output / 1M
$0.5600
Baidu Qianfan
Qianfan-OCR-Fast
👁 Vision
Input / 1M
$0.6800
Output / 1M
$2.8100
| Mistral Small 3.1 24B | Qianfan-OCR-Fast | |
|---|---|---|
| Provider | Mistral | Baidu Qianfan |
| Context window Maximum tokens (input + output) the model can process in a single request. Glossary → | 128,000 | 65,536 |
| Capabilities Optional capabilities the model advertises: vision (images), tools (function calling), json_mode (structured output). | vision | vision |
| Input $ / 1M tokens Cost for tokens you send (prompt + context). Cheaper side highlighted. Glossary → | 0.3500 | 0.6800 |
| Output $ / 1M tokens Cost for tokens the model generates. Output is normally 3–5× pricier than input. Glossary → | 0.5600 | 2.8100 |
Frequently asked questions
Which is cheaper, Mistral Small 3.1 24B or Qianfan-OCR-Fast?
Mistral Small 3.1 24B is cheaper than Qianfan-OCR-Fast on a 50/50 input/output blend by about $1.29 per 1M tokens. Exact savings depend on your input-vs-output ratio — use the cost calculator on this page for a workload-specific estimate.
Which has a larger context window, Mistral Small 3.1 24B or Qianfan-OCR-Fast?
Mistral Small 3.1 24B has the larger context window at 128k tokens versus 66k tokens for Qianfan-OCR-Fast. That means Mistral Small 3.1 24B can ingest about 2.0x as much text per request.
What is the difference between Mistral Small 3.1 24B and Qianfan-OCR-Fast?
Mistral Small 3.1 24B comes from Mistral; Qianfan-OCR-Fast comes from Baidu Qianfan. They differ in pricing, context window, and supported capabilities — see the side-by-side table on this page for the exact figures, refreshed nightly.