Gemini 2.5 Pro is Google’s state-of-the-art AI model designed for advanced reasoning, coding, mathematics, and scientific tasks. It employs “thinking” capabilities, enabling it to reason through responses with enhanced accuracy and nuanced …
Model details →Google: Gemini 2.5 Pro vs OpenAI: o3 Deep Research
Google: Gemini 2.5 Pro wins on 3 of 6 axes — pricing and capability skew in its favour for most workloads.
o3-deep-research is OpenAI's advanced model for deep research, designed to tackle complex, multi-step research tasks. Note: This model always uses the 'web_search' tool which adds additional cost.
Model details →Side-by-side comparison
| Capability | Google: Gemini 2.5 Pro | OpenAI: o3 Deep Research | Winner |
|---|---|---|---|
| Context window Maximum number of input tokens the model can attend to in a single request. | 1.0M | 200K | 🏆 Google: Gemini 2.5 Pro |
| Input price (per 1M) Cost per million input tokens billed by the provider. | $1.25 | $10.00 | 🏆 Google: Gemini 2.5 Pro |
| Output price (per 1M) Cost per million output tokens billed by the provider. | $10.00 | $40.00 | 🏆 Google: Gemini 2.5 Pro |
| Tool / function calling First-class support for emitting structured tool calls. | Yes | Yes | Tie |
| Vision input Accepts image inputs alongside text. | Yes | Yes | Tie |
| Reasoning mode Internal chain-of-thought / extended-thinking support. | Yes | Yes | Tie |
Frequently asked questions
Is Google: Gemini 2.5 Pro better than OpenAI: o3 Deep Research?
Google: Gemini 2.5 Pro wins on 3 of 6 axes — pricing and capability skew in its favour for most workloads.
What's the price difference between Google: Gemini 2.5 Pro and OpenAI: o3 Deep Research?
Input: $1.25 vs $10.00 per 1M tokens. Output: $10.00 vs $40.00 per 1M tokens.
What context windows do Google: Gemini 2.5 Pro and OpenAI: o3 Deep Research support?
Google: Gemini 2.5 Pro supports up to 1.0M tokens. OpenAI: o3 Deep Research supports up to 200K tokens.
Do both Google: Gemini 2.5 Pro and OpenAI: o3 Deep Research support tool calling?
Google: Gemini 2.5 Pro: yes. OpenAI: o3 Deep Research: yes.