Auto-generated comparison

Google: Gemini 2.0 Flash vs OpenAI: GPT-4o-mini (2024-07-18)

Google: Gemini 2.0 Flash wins on 3 of 6 axes — pricing and capability skew in its favour for most workloads.

Side-by-side comparison

CapabilityGoogle: Gemini 2.0 FlashOpenAI: GPT-4o-mini (2024-07-18)Winner
Context window
Maximum number of input tokens the model can attend to in a single request.
1.0M128K🏆 Google: Gemini 2.0 Flash
Input price (per 1M)
Cost per million input tokens billed by the provider.
$0.10$0.15🏆 Google: Gemini 2.0 Flash
Output price (per 1M)
Cost per million output tokens billed by the provider.
$0.40$0.60🏆 Google: Gemini 2.0 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.
Tie

Frequently asked questions

Is Google: Gemini 2.0 Flash better than OpenAI: GPT-4o-mini (2024-07-18)?

Google: Gemini 2.0 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 2.0 Flash and OpenAI: GPT-4o-mini (2024-07-18)?

Input: $0.10 vs $0.15 per 1M tokens. Output: $0.40 vs $0.60 per 1M tokens.

What context windows do Google: Gemini 2.0 Flash and OpenAI: GPT-4o-mini (2024-07-18) support?

Google: Gemini 2.0 Flash supports up to 1.0M tokens. OpenAI: GPT-4o-mini (2024-07-18) supports up to 128K tokens.

Do both Google: Gemini 2.0 Flash and OpenAI: GPT-4o-mini (2024-07-18) support tool calling?

Google: Gemini 2.0 Flash: yes. OpenAI: GPT-4o-mini (2024-07-18): yes.

Compare Google: Gemini 2.0 Flash with other models

Compare OpenAI: GPT-4o-mini (2024-07-18) with other models