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: GPT-3.5 Turbo
Google: Gemini 2.5 Pro wins on 3 of 6 axes — pricing and capability skew in its favour for most workloads.
GPT-3.5 Turbo is OpenAI's fastest model. It can understand and generate natural language or code, and is optimized for chat and traditional completion tasks. Training data up to Sep 2021.
Model details →Side-by-side comparison
| Capability | Google: Gemini 2.5 Pro | OpenAI: GPT-3.5 Turbo | Winner |
|---|---|---|---|
| Context window Maximum number of input tokens the model can attend to in a single request. | 1.0M | 16K | 🏆 Google: Gemini 2.5 Pro |
| Input price (per 1M) Cost per million input tokens billed by the provider. | $1.25 | $0.50 | 🏆 OpenAI: GPT-3.5 Turbo |
| Output price (per 1M) Cost per million output tokens billed by the provider. | $10.00 | $1.50 | 🏆 OpenAI: GPT-3.5 Turbo |
| 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-3.5 Turbo?
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: GPT-3.5 Turbo?
Input: $1.25 vs $0.50 per 1M tokens. Output: $10.00 vs $1.50 per 1M tokens.
What context windows do Google: Gemini 2.5 Pro and OpenAI: GPT-3.5 Turbo support?
Google: Gemini 2.5 Pro supports up to 1.0M tokens. OpenAI: GPT-3.5 Turbo supports up to 16K tokens.
Do both Google: Gemini 2.5 Pro and OpenAI: GPT-3.5 Turbo support tool calling?
Google: Gemini 2.5 Pro: yes. OpenAI: GPT-3.5 Turbo: yes.