Side-by-side comparison
o3 Mini vs Mistral Large 2407
Mistral
Mistral Large 2407
🔧 Tools
{} JSON
Input / 1M
$2.0000
Output / 1M
$6.0000
| o3 Mini | Mistral Large 2407 | |
|---|---|---|
| Provider | OpenAI | Mistral |
| Context window Maximum tokens (input + output) the model can process in a single request. Glossary → | 200,000 | 131,072 |
| 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 → | 1.1000 | 2.0000 |
| Output $ / 1M tokens Cost for tokens the model generates. Output is normally 3–5× pricier than input. Glossary → | 4.4000 | 6.0000 |
Frequently asked questions
Which is cheaper, o3 Mini or Mistral Large 2407?
o3 Mini is cheaper than Mistral Large 2407 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, o3 Mini or Mistral Large 2407?
o3 Mini has the larger context window at 200k tokens versus 131k tokens for Mistral Large 2407. That means o3 Mini can ingest about 1.5x as much text per request.
What is the difference between o3 Mini and Mistral Large 2407?
o3 Mini comes from OpenAI; Mistral Large 2407 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.