Side-by-side comparison
Mistral Medium 3.5 vs o3 Deep Research
Mistral
Mistral Medium 3.5
👁 Vision
🔧 Tools
{} JSON
Input / 1M
$1.5000
Output / 1M
$7.5000
OpenAI
o3 Deep Research
👁 Vision
🔧 Tools
{} JSON
Input / 1M
$10.0000
Output / 1M
$40.0000
| Mistral Medium 3.5 | o3 Deep Research | |
|---|---|---|
| Provider | Mistral | OpenAI |
| Context window Maximum tokens (input + output) the model can process in a single request. Glossary → | 262,144 | 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 → | 1.5000 | 10.0000 |
| Output $ / 1M tokens Cost for tokens the model generates. Output is normally 3–5× pricier than input. Glossary → | 7.5000 | 40.0000 |
Frequently asked questions
Which is cheaper, Mistral Medium 3.5 or o3 Deep Research?
Mistral Medium 3.5 is cheaper than o3 Deep Research on a 50/50 input/output blend by about $20.5 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 Medium 3.5 or o3 Deep Research?
Mistral Medium 3.5 has the larger context window at 262k tokens versus 200k tokens for o3 Deep Research. That means Mistral Medium 3.5 can ingest about 1.3x as much text per request.
What is the difference between Mistral Medium 3.5 and o3 Deep Research?
Mistral Medium 3.5 comes from Mistral; o3 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.