Side-by-side comparison
Mistral Small 3.1 24B vs UI-TARS 7B
Mistral
Mistral Small 3.1 24B
👁 Vision
Input / 1M
$0.3500
Output / 1M
$0.5600
| Mistral Small 3.1 24B | UI-TARS 7B | |
|---|---|---|
| Provider | Mistral | ByteDance |
| Context window Maximum tokens (input + output) the model can process in a single request. Glossary → | 128,000 | 128,000 |
| Capabilities Optional capabilities the model advertises: vision (images), tools (function calling), json_mode (structured output). | vision | vision |
| Input $ / 1M tokens Cost for tokens you send (prompt + context). Cheaper side highlighted. Glossary → | 0.3500 | 0.1000 |
| Output $ / 1M tokens Cost for tokens the model generates. Output is normally 3–5× pricier than input. Glossary → | 0.5600 | 0.2000 |
Frequently asked questions
Which is cheaper, Mistral Small 3.1 24B or UI-TARS 7B ?
UI-TARS 7B is cheaper than Mistral Small 3.1 24B on a 50/50 input/output blend by about $0.305 per 1M tokens. Exact savings depend on your input-vs-output ratio — use the cost calculator on this page for a workload-specific estimate.
What is the difference between Mistral Small 3.1 24B and UI-TARS 7B ?
Mistral Small 3.1 24B comes from Mistral; UI-TARS 7B comes from ByteDance. They differ in pricing, context window, and supported capabilities — see the side-by-side table on this page for the exact figures, refreshed nightly.