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...
Model details →Google: Gemini 2.5 Pro vs OpenAI: GPT Audio
Google: Gemini 2.5 Pro wins on 4 of 6 axes — pricing and capability skew in its favour for most workloads.
The gpt-audio model is OpenAI's first generally available audio model. The new snapshot features an upgraded decoder for more natural sounding voices and maintains better voice consistency. Audio is priced...
Model details →Side-by-side comparison
| Capability | Google: Gemini 2.5 Pro | OpenAI: GPT Audio | Winner |
|---|---|---|---|
| Context window Maximum number of input tokens the model can attend to in a single request. | 1.0M | 128K | 🏆 Google: Gemini 2.5 Pro |
| Input price (per 1M) Cost per million input tokens billed by the provider. | $1.25 | $2.50 | 🏆 Google: Gemini 2.5 Pro |
| Output price (per 1M) Cost per million output tokens billed by the provider. | $10.00 | $10.00 | Tie |
| Tool / function calling First-class support for emitting structured tool calls. | Yes | Yes | Tie |
| Vision input Accepts image inputs alongside text. | Yes | — | 🏆 Google: Gemini 2.5 Pro |
| Reasoning mode Internal chain-of-thought / extended-thinking support. | Yes | — | 🏆 Google: Gemini 2.5 Pro |
Frequently asked questions
Is Google: Gemini 2.5 Pro better than OpenAI: GPT Audio?
Google: Gemini 2.5 Pro wins on 4 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: GPT Audio?
Input: $1.25 vs $2.50 per 1M tokens. Output: $10.00 vs $10.00 per 1M tokens.
What context windows do Google: Gemini 2.5 Pro and OpenAI: GPT Audio support?
Google: Gemini 2.5 Pro supports up to 1.0M tokens. OpenAI: GPT Audio supports up to 128K tokens.
Do both Google: Gemini 2.5 Pro and OpenAI: GPT Audio support tool calling?
Google: Gemini 2.5 Pro: yes. OpenAI: GPT Audio: yes.