Auto-generated comparison

Google: Gemini 2.5 Flash vs OpenAI: o3

Google: Gemini 2.5 Flash wins on 3 of 6 axes — pricing and capability skew in its favour for most workloads.

Side-by-side comparison

CapabilityGoogle: Gemini 2.5 FlashOpenAI: o3Winner
Context window
Maximum number of input tokens the model can attend to in a single request.
1.0M200K🏆 Google: Gemini 2.5 Flash
Input price (per 1M)
Cost per million input tokens billed by the provider.
$0.30$2.00🏆 Google: Gemini 2.5 Flash
Output price (per 1M)
Cost per million output tokens billed by the provider.
$2.50$8.00🏆 Google: Gemini 2.5 Flash
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 Flash better than OpenAI: o3?

Google: Gemini 2.5 Flash 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 Flash and OpenAI: o3?

Input: $0.30 vs $2.00 per 1M tokens. Output: $2.50 vs $8.00 per 1M tokens.

What context windows do Google: Gemini 2.5 Flash and OpenAI: o3 support?

Google: Gemini 2.5 Flash supports up to 1.0M tokens. OpenAI: o3 supports up to 200K tokens.

Do both Google: Gemini 2.5 Flash and OpenAI: o3 support tool calling?

Google: Gemini 2.5 Flash: yes. OpenAI: o3: yes.

Compare Google: Gemini 2.5 Flash with other models

Compare OpenAI: o3 with other models