Auto-generated comparison

Google: Gemma 3 27B vs Mistral: Mistral Small 3.2 24B

Google: Gemma 3 27B and Mistral: Mistral Small 3.2 24B are evenly matched on 6 axes — pick the one whose provider, latency, or licensing fits your stack.

Side-by-side comparison

CapabilityGoogle: Gemma 3 27BMistral: 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 27B
Input price (per 1M)
Cost per million input tokens billed by the provider.
$0.08$0.07🏆 Mistral: Mistral Small 3.2 24B
Output price (per 1M)
Cost per million output tokens billed by the provider.
$0.16$0.20🏆 Google: Gemma 3 27B
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 27B better than Mistral: Mistral Small 3.2 24B?

Google: Gemma 3 27B and Mistral: Mistral Small 3.2 24B are evenly matched on 6 axes — pick the one whose provider, latency, or licensing fits your stack.

What's the price difference between Google: Gemma 3 27B and Mistral: Mistral Small 3.2 24B?

Input: $0.08 vs $0.07 per 1M tokens. Output: $0.16 vs $0.20 per 1M tokens.

What context windows do Google: Gemma 3 27B and Mistral: Mistral Small 3.2 24B support?

Google: Gemma 3 27B supports up to 131K tokens. Mistral: Mistral Small 3.2 24B supports up to 128K tokens.

Do both Google: Gemma 3 27B and Mistral: Mistral Small 3.2 24B support tool calling?

Google: Gemma 3 27B: not advertised. Mistral: Mistral Small 3.2 24B: yes.

Compare Google: Gemma 3 27B with other models

Compare Mistral: Mistral Small 3.2 24B with other models