Side-by-side comparison
Mistral Large vs Qwen3.6 Max Preview
Qwen
Qwen3.6 Max Preview
🔧 Tools
{} JSON
Input / 1M
$1.0400
Output / 1M
$6.2400
| Mistral Large | Qwen3.6 Max Preview | |
|---|---|---|
| Provider | Mistral | Qwen |
| Context window Maximum tokens (input + output) the model can process in a single request. Glossary → | 128,000 | 262,144 |
| Capabilities Optional capabilities the model advertises: vision (images), tools (function calling), json_mode (structured output). | tools, json_mode | tools, json_mode |
| Input $ / 1M tokens Cost for tokens you send (prompt + context). Cheaper side highlighted. Glossary → | 2.0000 | 1.0400 |
| Output $ / 1M tokens Cost for tokens the model generates. Output is normally 3–5× pricier than input. Glossary → | 6.0000 | 6.2400 |
Frequently asked questions
Which is cheaper, Mistral Large or Qwen3.6 Max Preview?
Qwen3.6 Max Preview is cheaper than Mistral Large on a 50/50 input/output blend by about $0.36 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 Large or Qwen3.6 Max Preview?
Qwen3.6 Max Preview has the larger context window at 262k tokens versus 128k tokens for Mistral Large. That means Qwen3.6 Max Preview can ingest about 2.0x as much text per request.
What is the difference between Mistral Large and Qwen3.6 Max Preview?
Mistral Large comes from Mistral; Qwen3.6 Max Preview comes from Qwen. They differ in pricing, context window, and supported capabilities — see the side-by-side table on this page for the exact figures, refreshed nightly.