Auto-generated comparison

google/gemma-3-4b-it vs Mistral: Mistral Small 3.2 24B

google/gemma-3-4b-it wins on 3 of 6 axes — pricing and capability skew in its favour for most workloads.

Side-by-side comparison

Capabilitygoogle/gemma-3-4b-itMistral: Mistral Small 3.2 24BWinner
Context window
Maximum number of input tokens the model can attend to in a single request.
131K128K🏆 google/gemma-3-4b-it
Input price (per 1M)
Cost per million input tokens billed by the provider.
$0.04$0.07🏆 google/gemma-3-4b-it
Output price (per 1M)
Cost per million output tokens billed by the provider.
$0.08$0.20🏆 google/gemma-3-4b-it
Tool / function calling
First-class support for emitting structured tool calls.
Yes🏆 Mistral: Mistral Small 3.2 24B
Vision input
Accepts image inputs alongside text.
YesYesTie
Reasoning mode
Internal chain-of-thought / extended-thinking support.
Tie

Frequently asked questions

Is google/gemma-3-4b-it better than Mistral: Mistral Small 3.2 24B?

google/gemma-3-4b-it wins on 3 of 6 axes — pricing and capability skew in its favour for most workloads.

What's the price difference between google/gemma-3-4b-it and Mistral: Mistral Small 3.2 24B?

Input: $0.04 vs $0.07 per 1M tokens. Output: $0.08 vs $0.20 per 1M tokens.

What context windows do google/gemma-3-4b-it and Mistral: Mistral Small 3.2 24B support?

google/gemma-3-4b-it supports up to 131K tokens. Mistral: Mistral Small 3.2 24B supports up to 128K tokens.

Do both google/gemma-3-4b-it and Mistral: Mistral Small 3.2 24B support tool calling?

google/gemma-3-4b-it: not advertised. Mistral: Mistral Small 3.2 24B: yes.

Compare google/gemma-3-4b-it with other models

Compare Mistral: Mistral Small 3.2 24B with other models