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: o1
Google: Gemini 2.5 Pro wins on 3 of 6 axes — pricing and capability skew in its favour for most workloads.
The latest and strongest model family from OpenAI, o1 is designed to spend more time thinking before responding. The o1 model series is trained with large-scale reinforcement learning to reason using chain of thought. The o1 models are op…
Model details →Side-by-side comparison
| Capability | Google: Gemini 2.5 Pro | OpenAI: o1 | 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 | $15.00 | 🏆 Google: Gemini 2.5 Pro |
| Output price (per 1M) Cost per million output tokens billed by the provider. | $10.00 | $60.00 | 🏆 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: o1?
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: o1?
Input: $1.25 vs $15.00 per 1M tokens. Output: $10.00 vs $60.00 per 1M tokens.
What context windows do Google: Gemini 2.5 Pro and OpenAI: o1 support?
Google: Gemini 2.5 Pro supports up to 1.0M tokens. OpenAI: o1 supports up to 200K tokens.
Do both Google: Gemini 2.5 Pro and OpenAI: o1 support tool calling?
Google: Gemini 2.5 Pro: yes. OpenAI: o1: yes.