Auto-generated comparison

Google: Gemini 2.5 Pro vs OpenAI: GPT-5.6 Sol Pro

Google: Gemini 2.5 Pro and OpenAI: GPT-5.6 Sol Pro are evenly matched on 6 axes — pick the one whose provider, latency, or licensing fits your stack.

Side-by-side comparison

CapabilityGoogle: Gemini 2.5 ProOpenAI: GPT-5.6 Sol ProWinner
Context window
Maximum number of input tokens the model can attend to in a single request.
1.0M1.1M🏆 OpenAI: GPT-5.6 Sol Pro
Input price (per 1M)
Cost per million input tokens billed by the provider.
$1.25$2.00🏆 Google: Gemini 2.5 Pro
Output price (per 1M)
Cost per million output tokens billed by the provider.
$10.00$10.00Tie
Tool / function calling
First-class support for emitting structured tool calls.
YesYesTie
Vision input
Accepts image inputs alongside text.
YesYesTie
Reasoning mode
Internal chain-of-thought / extended-thinking support.
YesYesTie

Frequently asked questions

Is Google: Gemini 2.5 Pro better than OpenAI: GPT-5.6 Sol Pro?

Google: Gemini 2.5 Pro and OpenAI: GPT-5.6 Sol Pro are evenly matched on 6 axes — pick the one whose provider, latency, or licensing fits your stack.

What's the price difference between Google: Gemini 2.5 Pro and OpenAI: GPT-5.6 Sol Pro?

Input: $1.25 vs $2.00 per 1M tokens. Output: $10.00 vs $10.00 per 1M tokens.

What context windows do Google: Gemini 2.5 Pro and OpenAI: GPT-5.6 Sol Pro support?

Google: Gemini 2.5 Pro supports up to 1.0M tokens. OpenAI: GPT-5.6 Sol Pro supports up to 1.1M tokens.

Do both Google: Gemini 2.5 Pro and OpenAI: GPT-5.6 Sol Pro support tool calling?

Google: Gemini 2.5 Pro: yes. OpenAI: GPT-5.6 Sol Pro: yes.

Compare Google: Gemini 2.5 Pro with other models

Compare OpenAI: GPT-5.6 Sol Pro with other models