Side-by-side comparison
Qwen3 VL 8B Thinking vs Mistral Large 3 2512
Qwen
Qwen3 VL 8B Thinking
👁 Vision
🔧 Tools
{} JSON
Input / 1M
$0.1170
Output / 1M
$1.3650
Mistral
Mistral Large 3 2512
👁 Vision
🔧 Tools
{} JSON
Input / 1M
$0.5000
Output / 1M
$1.5000
| Qwen3 VL 8B Thinking | Mistral Large 3 2512 | |
|---|---|---|
| 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 → | 0.1170 | 0.5000 |
| Output $ / 1M tokens Cost for tokens the model generates. Output is normally 3–5× pricier than input. Glossary → | 1.3650 | 1.5000 |
Frequently asked questions
Which is cheaper, Qwen3 VL 8B Thinking or Mistral Large 3 2512?
Qwen3 VL 8B Thinking is cheaper than Mistral Large 3 2512 on a 50/50 input/output blend by about $0.259 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 8B Thinking or Mistral Large 3 2512?
Mistral Large 3 2512 has the larger context window at 262k tokens versus 131k tokens for Qwen3 VL 8B Thinking. That means Mistral Large 3 2512 can ingest about 2.0x as much text per request.
What is the difference between Qwen3 VL 8B Thinking and Mistral Large 3 2512?
Qwen3 VL 8B Thinking comes from Qwen; Mistral Large 3 2512 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.