Side-by-side comparison
Pixtral Large 2411 vs o4 Mini Deep Research
Mistral
Pixtral Large 2411
👁 Vision
🔧 Tools
{} JSON
Input / 1M
$2.0000
Output / 1M
$6.0000
OpenAI
o4 Mini Deep Research
👁 Vision
🔧 Tools
{} JSON
Input / 1M
$2.0000
Output / 1M
$8.0000
| Pixtral Large 2411 | o4 Mini Deep Research | |
|---|---|---|
| Provider | Mistral | OpenAI |
| Context window Maximum tokens (input + output) the model can process in a single request. Glossary → | 131,072 | 200,000 |
| 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 → | 2.0000 | 2.0000 |
| Output $ / 1M tokens Cost for tokens the model generates. Output is normally 3–5× pricier than input. Glossary → | 6.0000 | 8.0000 |
Frequently asked questions
Which is cheaper, Pixtral Large 2411 or o4 Mini Deep Research?
Pixtral Large 2411 is cheaper than o4 Mini Deep Research on a 50/50 input/output blend by about $1 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, Pixtral Large 2411 or o4 Mini Deep Research?
o4 Mini Deep Research has the larger context window at 200k tokens versus 131k tokens for Pixtral Large 2411. That means o4 Mini Deep Research can ingest about 1.5x as much text per request.
What is the difference between Pixtral Large 2411 and o4 Mini Deep Research?
Pixtral Large 2411 comes from Mistral; o4 Mini Deep Research 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.