Auto-generated comparison

Google: Gemma 4 31B (batch) vs inclusionAI: Ring-2.6-1T

inclusionAI: Ring-2.6-1T wins on 2 of 6 axes — pricing and capability skew in its favour for most workloads.

Side-by-side comparison

CapabilityGoogle: Gemma 4 31B (batch)inclusionAI: Ring-2.6-1TWinner
Context window
Maximum number of input tokens the model can attend to in a single request.
262K262KTie
Input price (per 1M)
Cost per million input tokens billed by the provider.
$0.39$0.07🏆 inclusionAI: Ring-2.6-1T
Output price (per 1M)
Cost per million output tokens billed by the provider.
$0.97$0.63🏆 inclusionAI: Ring-2.6-1T
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 inclusionAI: Ring-2.6-1T?

inclusionAI: Ring-2.6-1T wins on 2 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 inclusionAI: Ring-2.6-1T?

Input: $0.39 vs $0.07 per 1M tokens. Output: $0.97 vs $0.63 per 1M tokens.

What context windows do Google: Gemma 4 31B (batch) and inclusionAI: Ring-2.6-1T support?

Google: Gemma 4 31B (batch) supports up to 262K tokens. inclusionAI: Ring-2.6-1T supports up to 262K tokens.

Do both Google: Gemma 4 31B (batch) and inclusionAI: Ring-2.6-1T support tool calling?

Google: Gemma 4 31B (batch): yes. inclusionAI: Ring-2.6-1T: yes.

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

Compare inclusionAI: Ring-2.6-1T with other models