Auto-generated comparison

Google: Gemma 3 12B vs OpenAI: GPT-4o-mini (2024-07-18)

Google: Gemma 3 12B wins on 3 of 6 axes — pricing and capability skew in its favour for most workloads.

Side-by-side comparison

CapabilityGoogle: Gemma 3 12BOpenAI: GPT-4o-mini (2024-07-18)Winner
Context window
Maximum number of input tokens the model can attend to in a single request.
131K128K🏆 Google: Gemma 3 12B
Input price (per 1M)
Cost per million input tokens billed by the provider.
$0.04$0.15🏆 Google: Gemma 3 12B
Output price (per 1M)
Cost per million output tokens billed by the provider.
$0.13$0.60🏆 Google: Gemma 3 12B
Tool / function calling
First-class support for emitting structured tool calls.
Yes🏆 OpenAI: GPT-4o-mini (2024-07-18)
Vision input
Accepts image inputs alongside text.
YesYesTie
Reasoning mode
Internal chain-of-thought / extended-thinking support.
Tie

Frequently asked questions

Is Google: Gemma 3 12B better than OpenAI: GPT-4o-mini (2024-07-18)?

Google: Gemma 3 12B wins on 3 of 6 axes — pricing and capability skew in its favour for most workloads.

What's the price difference between Google: Gemma 3 12B and OpenAI: GPT-4o-mini (2024-07-18)?

Input: $0.04 vs $0.15 per 1M tokens. Output: $0.13 vs $0.60 per 1M tokens.

What context windows do Google: Gemma 3 12B and OpenAI: GPT-4o-mini (2024-07-18) support?

Google: Gemma 3 12B supports up to 131K tokens. OpenAI: GPT-4o-mini (2024-07-18) supports up to 128K tokens.

Do both Google: Gemma 3 12B and OpenAI: GPT-4o-mini (2024-07-18) support tool calling?

Google: Gemma 3 12B: not advertised. OpenAI: GPT-4o-mini (2024-07-18): yes.

Compare Google: Gemma 3 12B with other models

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