Auto-generated comparison

Google: Gemma 3 12B vs Mistral: Mistral Medium 3.1 (batch)

Google: Gemma 3 12B wins on 2 of 6 axes — pricing and capability skew in its favour for most workloads.

Side-by-side comparison

CapabilityGoogle: Gemma 3 12BMistral: Mistral Medium 3.1 (batch)Winner
Context window
Maximum number of input tokens the model can attend to in a single request.
131K131KTie
Input price (per 1M)
Cost per million input tokens billed by the provider.
$0.05$0.40🏆 Google: Gemma 3 12B
Output price (per 1M)
Cost per million output tokens billed by the provider.
$0.15$2.00🏆 Google: Gemma 3 12B
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: Gemma 3 12B better than Mistral: Mistral Medium 3.1 (batch)?

Google: Gemma 3 12B wins on 2 of 6 axes — pricing and capability skew in its favour for most workloads.

What's the price difference between Google: Gemma 3 12B and Mistral: Mistral Medium 3.1 (batch)?

Input: $0.05 vs $0.40 per 1M tokens. Output: $0.15 vs $2.00 per 1M tokens.

What context windows do Google: Gemma 3 12B and Mistral: Mistral Medium 3.1 (batch) support?

Google: Gemma 3 12B supports up to 131K tokens. Mistral: Mistral Medium 3.1 (batch) supports up to 131K tokens.

Do both Google: Gemma 3 12B and Mistral: Mistral Medium 3.1 (batch) support tool calling?

Google: Gemma 3 12B: yes. Mistral: Mistral Medium 3.1 (batch): yes.

Compare Google: Gemma 3 12B with other models

Compare Mistral: Mistral Medium 3.1 (batch) with other models