Side-by-side comparison
Sonar Reasoning Pro vs Qianfan-OCR-Fast
Perplexity
Sonar Reasoning Pro
👁 Vision
Input / 1M
$2.0000
Output / 1M
$8.0000
Baidu Qianfan
Qianfan-OCR-Fast
👁 Vision
Input / 1M
$0.6800
Output / 1M
$2.8100
| Sonar Reasoning Pro | Qianfan-OCR-Fast | |
|---|---|---|
| Provider | Perplexity | 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 → | 2.0000 | 0.6800 |
| Output $ / 1M tokens Cost for tokens the model generates. Output is normally 3–5× pricier than input. Glossary → | 8.0000 | 2.8100 |
Frequently asked questions
Which is cheaper, Sonar Reasoning Pro or Qianfan-OCR-Fast?
Qianfan-OCR-Fast is cheaper than Sonar Reasoning Pro on a 50/50 input/output blend by about $3.255 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, Sonar Reasoning Pro or Qianfan-OCR-Fast?
Sonar Reasoning Pro has the larger context window at 128k tokens versus 66k tokens for Qianfan-OCR-Fast. That means Sonar Reasoning Pro can ingest about 2.0x as much text per request.
What is the difference between Sonar Reasoning Pro and Qianfan-OCR-Fast?
Sonar Reasoning Pro comes from Perplexity; 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.