Qwen3.6 Max Preview vs Mistral Large 2407
Qwen3.6 Max Preview
Mistral Large 2407
| Qwen3.6 Max Preview | Mistral Large 2407 | |
|---|---|---|
| Provider | Qwen | Mistral |
| Context window Maximum tokens (input + output) the model can process in a single request. Glossary β | 262,144 | 131,072 |
| 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 β | 1.0400 | 2.0000 |
| Output $ / 1M tokens Cost for tokens the model generates. Output is normally 3β5Γ pricier than input. Glossary β | 6.2400 | 6.0000 |
Frequently asked questions
Which is cheaper, Qwen3.6 Max Preview or Mistral Large 2407?
Qwen3.6 Max Preview is cheaper than Mistral Large 2407 on a 50/50 input/output blend by about $0.36 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, Qwen3.6 Max Preview or Mistral Large 2407?
Qwen3.6 Max Preview has the larger context window at 262k tokens versus 131k tokens for Mistral Large 2407. That means Qwen3.6 Max Preview can ingest about 2.0x as much text per request.
What is the difference between Qwen3.6 Max Preview and Mistral Large 2407?
Qwen3.6 Max Preview comes from Qwen; Mistral Large 2407 comes from Mistral. 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.