Auto-generated comparison

Google: Gemma 4 31B vs inclusionAI: Ling-2.6-flash

Google: Gemma 4 31B and inclusionAI: Ling-2.6-flash are evenly matched on 6 axes — pick the one whose provider, latency, or licensing fits your stack.

Side-by-side comparison

CapabilityGoogle: Gemma 4 31BinclusionAI: Ling-2.6-flashWinner
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.
$0.10$0.01🏆 inclusionAI: Ling-2.6-flash
Output price (per 1M)
Cost per million output tokens billed by the provider.
$0.34$0.03🏆 inclusionAI: Ling-2.6-flash
Tool / function calling
First-class support for emitting structured tool calls.
YesYesTie
Vision input
Accepts image inputs alongside text.
Yes🏆 Google: Gemma 4 31B
Reasoning mode
Internal chain-of-thought / extended-thinking support.
Yes🏆 Google: Gemma 4 31B

Frequently asked questions

Is Google: Gemma 4 31B better than inclusionAI: Ling-2.6-flash?

Google: Gemma 4 31B and inclusionAI: Ling-2.6-flash are evenly matched on 6 axes — pick the one whose provider, latency, or licensing fits your stack.

What's the price difference between Google: Gemma 4 31B and inclusionAI: Ling-2.6-flash?

Input: $0.10 vs $0.01 per 1M tokens. Output: $0.34 vs $0.03 per 1M tokens.

What context windows do Google: Gemma 4 31B and inclusionAI: Ling-2.6-flash support?

Google: Gemma 4 31B supports up to 262K tokens. inclusionAI: Ling-2.6-flash supports up to 262K tokens.

Do both Google: Gemma 4 31B and inclusionAI: Ling-2.6-flash support tool calling?

Google: Gemma 4 31B: yes. inclusionAI: Ling-2.6-flash: yes.

Compare Google: Gemma 4 31B with other models

Compare inclusionAI: Ling-2.6-flash with other models