Auto-generated comparison

Google: Gemma 3 12B vs Mistral: Ministral 8B

Google: Gemma 3 12B wins on 4 of 6 axes — pricing and capability skew in its favour for most workloads.

Side-by-side comparison

CapabilityGoogle: Gemma 3 12BMistral: Ministral 8BWinner
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.
$0.05$0.11🏆 Google: Gemma 3 12B
Output price (per 1M)
Cost per million output tokens billed by the provider.
$0.15$0.11🏆 Mistral: Ministral 8B
Tool / function calling
First-class support for emitting structured tool calls.
Yes🏆 Google: Gemma 3 12B
Vision input
Accepts image inputs alongside text.
Yes🏆 Google: Gemma 3 12B
Reasoning mode
Internal chain-of-thought / extended-thinking support.
Tie

Frequently asked questions

Is Google: Gemma 3 12B better than Mistral: Ministral 8B?

Google: Gemma 3 12B wins on 4 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: Ministral 8B?

Input: $0.05 vs $0.11 per 1M tokens. Output: $0.15 vs $0.11 per 1M tokens.

What context windows do Google: Gemma 3 12B and Mistral: Ministral 8B support?

Google: Gemma 3 12B supports up to 131K tokens. Mistral: Ministral 8B supports up to 128K tokens.

Do both Google: Gemma 3 12B and Mistral: Ministral 8B support tool calling?

Google: Gemma 3 12B: yes. Mistral: Ministral 8B: not advertised.

Compare Google: Gemma 3 12B with other models

Compare Mistral: Ministral 8B with other models