Side-by-side comparison
Qwen3 VL 30B A3B Instruct vs Mistral Small 4
Qwen
Qwen3 VL 30B A3B Instruct
👁 Vision
🔧 Tools
{} JSON
Input / 1M
$0.1300
Output / 1M
$0.5200
Mistral
Mistral Small 4
👁 Vision
🔧 Tools
{} JSON
Input / 1M
$0.1500
Output / 1M
$0.6000
| Qwen3 VL 30B A3B Instruct | Mistral Small 4 | |
|---|---|---|
| Provider | Qwen | Mistral |
| Context window Maximum tokens (input + output) the model can process in a single request. Glossary → | 131,072 | 262,144 |
| 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 → | 0.1300 | 0.1500 |
| Output $ / 1M tokens Cost for tokens the model generates. Output is normally 3–5× pricier than input. Glossary → | 0.5200 | 0.6000 |
Frequently asked questions
Which is cheaper, Qwen3 VL 30B A3B Instruct or Mistral Small 4?
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, Qwen3 VL 30B A3B Instruct or Mistral Small 4?
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 Qwen3 VL 30B A3B Instruct and Mistral Small 4?
Qwen3 VL 30B A3B Instruct comes from Qwen; Mistral Small 4 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.