Side-by-side comparison
o4 Mini Deep Research vs Pixtral Large 2411
OpenAI
o4 Mini Deep Research
👁 Vision
🔧 Tools
{} JSON
Input / 1M
$2.0000
Output / 1M
$8.0000
Mistral
Pixtral Large 2411
👁 Vision
🔧 Tools
{} JSON
Input / 1M
$2.0000
Output / 1M
$6.0000
| o4 Mini Deep Research | Pixtral Large 2411 | |
|---|---|---|
| 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). | 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 → | 8.0000 | 6.0000 |
Frequently asked questions
Which is cheaper, o4 Mini Deep Research or Pixtral Large 2411?
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, o4 Mini Deep Research or Pixtral Large 2411?
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 o4 Mini Deep Research and Pixtral Large 2411?
o4 Mini Deep Research comes from OpenAI; Pixtral Large 2411 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.