Side-by-side comparison
Mistral Large 3 2512 vs GPT-5 Mini
Mistral
Mistral Large 3 2512
👁 Vision
🔧 Tools
{} JSON
Input / 1M
$0.5000
Output / 1M
$1.5000
| Mistral Large 3 2512 | GPT-5 Mini | |
|---|---|---|
| Provider | Mistral | OpenAI |
| Context window Maximum tokens (input + output) the model can process in a single request. Glossary → | 262,144 | 400,000 |
| 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 → | 0.5000 | 0.2500 |
| Output $ / 1M tokens Cost for tokens the model generates. Output is normally 3–5× pricier than input. Glossary → | 1.5000 | 2.0000 |
Frequently asked questions
Which is cheaper, Mistral Large 3 2512 or GPT-5 Mini?
Mistral Large 3 2512 is cheaper than GPT-5 Mini on a 50/50 input/output blend by about $0.125 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 Large 3 2512 or GPT-5 Mini?
GPT-5 Mini has the larger context window at 400k tokens versus 262k tokens for Mistral Large 3 2512. That means GPT-5 Mini can ingest about 1.5x as much text per request.
What is the difference between Mistral Large 3 2512 and GPT-5 Mini?
Mistral Large 3 2512 comes from Mistral; GPT-5 Mini comes from OpenAI. They differ in pricing, context window, and supported capabilities — see the side-by-side table on this page for the exact figures, refreshed nightly.