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 Auto Router
Auto Router wins on 3 of 6 axes — pricing and capability skew in its favour for most workloads.
Your prompt will be processed by a meta-model and routed to one of dozens of models (see below), optimizing for the best possible output. To see which model was used, visit [Activity](/activity), or read the `model` attribute of the respon…
Model details →Side-by-side comparison
| Capability | Google: Gemini 2.5 Pro | Auto Router | Winner |
|---|---|---|---|
| Context window Maximum number of input tokens the model can attend to in a single request. | 1.0M | 2M | 🏆 Auto Router |
| Input price (per 1M) Cost per million input tokens billed by the provider. | $1.25 | $-1000000.00 | 🏆 Auto Router |
| Output price (per 1M) Cost per million output tokens billed by the provider. | $10.00 | $-1000000.00 | 🏆 Auto Router |
| 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 Auto Router?
Auto Router 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 Auto Router?
Input: $1.25 vs $-1000000.00 per 1M tokens. Output: $10.00 vs $-1000000.00 per 1M tokens.
What context windows do Google: Gemini 2.5 Pro and Auto Router support?
Google: Gemini 2.5 Pro supports up to 1.0M tokens. Auto Router supports up to 2M tokens.
Do both Google: Gemini 2.5 Pro and Auto Router support tool calling?
Google: Gemini 2.5 Pro: yes. Auto Router: yes.