Auto-generated comparison

Google: Gemma 4 31B (batch) vs MiniMax: MiniMax M2

Google: Gemma 4 31B (batch) wins on 3 of 6 axes — pricing and capability skew in its favour for most workloads.

Side-by-side comparison

CapabilityGoogle: Gemma 4 31B (batch)MiniMax: MiniMax M2Winner
Context window
Maximum number of input tokens the model can attend to in a single request.
262K205K🏆 Google: Gemma 4 31B (batch)
Input price (per 1M)
Cost per million input tokens billed by the provider.
$0.39$0.26🏆 MiniMax: MiniMax M2
Output price (per 1M)
Cost per million output tokens billed by the provider.
$0.97$1.02🏆 Google: Gemma 4 31B (batch)
Tool / function calling
First-class support for emitting structured tool calls.
YesYesTie
Vision input
Accepts image inputs alongside text.
Yes🏆 Google: Gemma 4 31B (batch)
Reasoning mode
Internal chain-of-thought / extended-thinking support.
YesYesTie

Frequently asked questions

Is Google: Gemma 4 31B (batch) better than MiniMax: MiniMax M2?

Google: Gemma 4 31B (batch) wins on 3 of 6 axes — pricing and capability skew in its favour for most workloads.

What's the price difference between Google: Gemma 4 31B (batch) and MiniMax: MiniMax M2?

Input: $0.39 vs $0.26 per 1M tokens. Output: $0.97 vs $1.02 per 1M tokens.

What context windows do Google: Gemma 4 31B (batch) and MiniMax: MiniMax M2 support?

Google: Gemma 4 31B (batch) supports up to 262K tokens. MiniMax: MiniMax M2 supports up to 205K tokens.

Do both Google: Gemma 4 31B (batch) and MiniMax: MiniMax M2 support tool calling?

Google: Gemma 4 31B (batch): yes. MiniMax: MiniMax M2: yes.

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

Compare MiniMax: MiniMax M2 with other models