Side-by-side comparison
Mistral Small 3.2 24B vs Qwen3 VL 32B Instruct
Mistral
Mistral Small 3.2 24B
👁 Vision
🔧 Tools
{} JSON
Input / 1M
$0.0750
Output / 1M
$0.2000
Qwen
Qwen3 VL 32B Instruct
👁 Vision
🔧 Tools
{} JSON
Input / 1M
$0.1040
Output / 1M
$0.4160
| Mistral Small 3.2 24B | Qwen3 VL 32B Instruct | |
|---|---|---|
| Provider | Mistral | Qwen |
| Context window Maximum tokens (input + output) the model can process in a single request. Glossary → | 128,000 | 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 → | 0.0750 | 0.1040 |
| Output $ / 1M tokens Cost for tokens the model generates. Output is normally 3–5× pricier than input. Glossary → | 0.2000 | 0.4160 |
Frequently asked questions
Which is cheaper, Mistral Small 3.2 24B or Qwen3 VL 32B Instruct?
Mistral Small 3.2 24B is cheaper than Qwen3 VL 32B Instruct on a 50/50 input/output blend by about $0.1225 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 Small 3.2 24B or Qwen3 VL 32B Instruct?
Qwen3 VL 32B Instruct has the larger context window at 131k tokens versus 128k tokens for Mistral Small 3.2 24B. That means Qwen3 VL 32B Instruct can ingest about 1.0x as much text per request.
What is the difference between Mistral Small 3.2 24B and Qwen3 VL 32B Instruct?
Mistral Small 3.2 24B comes from Mistral; Qwen3 VL 32B Instruct 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.