Side-by-side comparison
Mistral Large vs o3 Mini
| Mistral Large | o3 Mini | |
|---|---|---|
| Provider | Mistral | OpenAI |
| Context window Maximum tokens (input + output) the model can process in a single request. Glossary → | 128,000 | 200,000 |
| Capabilities Optional capabilities the model advertises: vision (images), tools (function calling), json_mode (structured output). | tools, json_mode | tools, json_mode |
| Input $ / 1M tokens Cost for tokens you send (prompt + context). Cheaper side highlighted. Glossary → | 2.0000 | 1.1000 |
| Output $ / 1M tokens Cost for tokens the model generates. Output is normally 3–5× pricier than input. Glossary → | 6.0000 | 4.4000 |
Frequently asked questions
Which is cheaper, Mistral Large or o3 Mini?
o3 Mini is cheaper than Mistral Large on a 50/50 input/output blend by about $1.25 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 or o3 Mini?
o3 Mini has the larger context window at 200k tokens versus 128k tokens for Mistral Large. That means o3 Mini can ingest about 1.6x as much text per request.
What is the difference between Mistral Large and o3 Mini?
Mistral Large comes from Mistral; o3 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.