Auto-generated comparison

Google: Gemma 4 31B (batch) vs Mistral: Mistral Small 3.2 24B

Google: Gemma 4 31B (batch) 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 4 31B (batch)Mistral: Mistral Small 3.2 24BWinner
Context window
Maximum number of input tokens the model can attend to in a single request.
262K256K🏆 Google: Gemma 4 31B (batch)
Input price (per 1M)
Cost per million input tokens billed by the provider.
$0.39$0.09🏆 Mistral: Mistral Small 3.2 24B
Output price (per 1M)
Cost per million output tokens billed by the provider.
$0.97$0.25🏆 Mistral: Mistral Small 3.2 24B
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.
Yes🏆 Google: Gemma 4 31B (batch)

Frequently asked questions

Is Google: Gemma 4 31B (batch) better than Mistral: Mistral Small 3.2 24B?

Google: Gemma 4 31B (batch) 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 4 31B (batch) and Mistral: Mistral Small 3.2 24B?

Input: $0.39 vs $0.09 per 1M tokens. Output: $0.97 vs $0.25 per 1M tokens.

What context windows do Google: Gemma 4 31B (batch) and Mistral: Mistral Small 3.2 24B support?

Google: Gemma 4 31B (batch) supports up to 262K tokens. Mistral: Mistral Small 3.2 24B supports up to 256K tokens.

Do both Google: Gemma 4 31B (batch) and Mistral: Mistral Small 3.2 24B support tool calling?

Google: Gemma 4 31B (batch): yes. Mistral: Mistral Small 3.2 24B: yes.

Compare Google: Gemma 4 31B (batch) with other models

Compare Mistral: Mistral Small 3.2 24B with other models