Auto-generated comparison

Google: Gemma 4 31B vs Perceptron: Perceptron Mk1

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

Side-by-side comparison

CapabilityGoogle: Gemma 4 31BPerceptron: Perceptron Mk1Winner
Context window
Maximum number of input tokens the model can attend to in a single request.
262K33K🏆 Google: Gemma 4 31B
Input price (per 1M)
Cost per million input tokens billed by the provider.
$0.10$0.15🏆 Google: Gemma 4 31B
Output price (per 1M)
Cost per million output tokens billed by the provider.
$0.34$1.50🏆 Google: Gemma 4 31B
Tool / function calling
First-class support for emitting structured tool calls.
Yes🏆 Google: Gemma 4 31B
Vision input
Accepts image inputs alongside text.
YesYesTie
Reasoning mode
Internal chain-of-thought / extended-thinking support.
YesYesTie

Frequently asked questions

Is Google: Gemma 4 31B better than Perceptron: Perceptron Mk1?

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

What's the price difference between Google: Gemma 4 31B and Perceptron: Perceptron Mk1?

Input: $0.10 vs $0.15 per 1M tokens. Output: $0.34 vs $1.50 per 1M tokens.

What context windows do Google: Gemma 4 31B and Perceptron: Perceptron Mk1 support?

Google: Gemma 4 31B supports up to 262K tokens. Perceptron: Perceptron Mk1 supports up to 33K tokens.

Do both Google: Gemma 4 31B and Perceptron: Perceptron Mk1 support tool calling?

Google: Gemma 4 31B: yes. Perceptron: Perceptron Mk1: not advertised.

Compare Google: Gemma 4 31B with other models

Compare Perceptron: Perceptron Mk1 with other models