Side-by-side comparison
o4 Mini Deep Research vs Gemini 2.5 Pro
OpenAI
o4 Mini Deep Research
👁 Vision
🔧 Tools
{} JSON
Input / 1M
$2.0000
Output / 1M
$8.0000
Google
Gemini 2.5 Pro
👁 Vision
🔧 Tools
{} JSON
Input / 1M
$1.2500
Output / 1M
$10.0000
| o4 Mini Deep Research | Gemini 2.5 Pro | |
|---|---|---|
| Provider | OpenAI | |
| Context window Maximum tokens (input + output) the model can process in a single request. Glossary → | 200,000 | 1,048,576 |
| 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 | 1.2500 |
| Output $ / 1M tokens Cost for tokens the model generates. Output is normally 3–5× pricier than input. Glossary → | 8.0000 | 10.0000 |
Frequently asked questions
Which is cheaper, o4 Mini Deep Research or Gemini 2.5 Pro?
o4 Mini Deep Research is cheaper than Gemini 2.5 Pro on a 50/50 input/output blend by about $0.625 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 Gemini 2.5 Pro?
Gemini 2.5 Pro has the larger context window at 1M tokens versus 200k tokens for o4 Mini Deep Research. That means Gemini 2.5 Pro can ingest about 5.2x as much text per request.
What is the difference between o4 Mini Deep Research and Gemini 2.5 Pro?
o4 Mini Deep Research comes from OpenAI; Gemini 2.5 Pro comes from Google. They differ in pricing, context window, and supported capabilities — see the side-by-side table on this page for the exact figures, refreshed nightly.