Side-by-side comparison
Mistral Small 4 vs Qwen3 VL 30B A3B Instruct
Mistral
Mistral Small 4
👁 Vision
🔧 Tools
{} JSON
Input / 1M
$0.1500
Output / 1M
$0.6000
Qwen
Qwen3 VL 30B A3B Instruct
👁 Vision
🔧 Tools
{} JSON
Input / 1M
$0.1300
Output / 1M
$0.5200
| Mistral Small 4 | Qwen3 VL 30B A3B Instruct | |
|---|---|---|
| Provider | Mistral | Qwen |
| 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 → | 0.1500 | 0.1300 |
| Output $ / 1M tokens Cost for tokens the model generates. Output is normally 3–5× pricier than input. Glossary → | 0.6000 | 0.5200 |
Frequently asked questions
Which is cheaper, Mistral Small 4 or Qwen3 VL 30B A3B Instruct?
Qwen3 VL 30B A3B Instruct is cheaper than Mistral Small 4 on a 50/50 input/output blend by about $0.05 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 4 or Qwen3 VL 30B A3B Instruct?
Mistral Small 4 has the larger context window at 262k tokens versus 131k tokens for Qwen3 VL 30B A3B Instruct. That means Mistral Small 4 can ingest about 2.0x as much text per request.
What is the difference between Mistral Small 4 and Qwen3 VL 30B A3B Instruct?
Mistral Small 4 comes from Mistral; Qwen3 VL 30B A3B 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.