Side-by-side comparison
Qwen3.5-122B-A10B vs Mistral Medium 3.1
Qwen
Qwen3.5-122B-A10B
👁 Vision
🔧 Tools
{} JSON
Input / 1M
$0.2600
Output / 1M
$2.0800
Mistral
Mistral Medium 3.1
👁 Vision
🔧 Tools
{} JSON
Input / 1M
$0.4000
Output / 1M
$2.0000
| Qwen3.5-122B-A10B | 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 → | 0.2600 | 0.4000 |
| Output $ / 1M tokens Cost for tokens the model generates. Output is normally 3–5× pricier than input. Glossary → | 2.0800 | 2.0000 |
Frequently asked questions
Which is cheaper, Qwen3.5-122B-A10B or Mistral Medium 3.1?
Qwen3.5-122B-A10B is cheaper than Mistral Medium 3.1 on a 50/50 input/output blend by about $0.03 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, Qwen3.5-122B-A10B or Mistral Medium 3.1?
Qwen3.5-122B-A10B has the larger context window at 262k tokens versus 131k tokens for Mistral Medium 3.1. That means Qwen3.5-122B-A10B can ingest about 2.0x as much text per request.
What is the difference between Qwen3.5-122B-A10B and Mistral Medium 3.1?
Qwen3.5-122B-A10B 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.