Side-by-side comparison
Qwen3.5 397B A17B vs Mistral Medium 3.1
Qwen
Qwen3.5 397B A17B
👁 Vision
🔧 Tools
{} JSON
Input / 1M
$0.3900
Output / 1M
$2.3400
Mistral
Mistral Medium 3.1
👁 Vision
🔧 Tools
{} JSON
Input / 1M
$0.4000
Output / 1M
$2.0000
| Qwen3.5 397B A17B | Mistral Medium 3.1 | |
|---|---|---|
| Provider | Qwen | Mistral |
| Context window Maximum tokens (input + output) the model can process in a single request. Glossary → | 262,144 | 131,072 |
| Capabilities Optional capabilities the model advertises: vision (images), tools (function calling), json_mode (structured output). | vision, tools, json_mode | vision, tools, json_mode |
| Input $ / 1M tokens Cost for tokens you send (prompt + context). Cheaper side highlighted. Glossary → | 0.3900 | 0.4000 |
| Output $ / 1M tokens Cost for tokens the model generates. Output is normally 3–5× pricier than input. Glossary → | 2.3400 | 2.0000 |
Frequently asked questions
Which is cheaper, Qwen3.5 397B A17B or Mistral Medium 3.1?
Mistral Medium 3.1 is cheaper than Qwen3.5 397B A17B on a 50/50 input/output blend by about $0.165 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, Qwen3.5 397B A17B or Mistral Medium 3.1?
Qwen3.5 397B A17B has the larger context window at 262k tokens versus 131k tokens for Mistral Medium 3.1. That means Qwen3.5 397B A17B can ingest about 2.0x as much text per request.
What is the difference between Qwen3.5 397B A17B and Mistral Medium 3.1?
Qwen3.5 397B A17B comes from Qwen; Mistral Medium 3.1 comes from Mistral. They differ in pricing, context window, and supported capabilities — see the side-by-side table on this page for the exact figures, refreshed nightly.