Auto-generated comparison

Arcee AI: Trinity Large Thinking vs Google: Gemma 4 31B

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

Side-by-side comparison

CapabilityArcee AI: Trinity Large ThinkingGoogle: Gemma 4 31BWinner
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.
$0.22$0.10🏆 Google: Gemma 4 31B
Output price (per 1M)
Cost per million output tokens billed by the provider.
$0.85$0.34🏆 Google: Gemma 4 31B
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.
YesYesTie

Frequently asked questions

Is Arcee AI: Trinity Large Thinking better than Google: Gemma 4 31B?

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

What's the price difference between Arcee AI: Trinity Large Thinking and Google: Gemma 4 31B?

Input: $0.22 vs $0.10 per 1M tokens. Output: $0.85 vs $0.34 per 1M tokens.

What context windows do Arcee AI: Trinity Large Thinking and Google: Gemma 4 31B support?

Arcee AI: Trinity Large Thinking supports up to 262K tokens. Google: Gemma 4 31B supports up to 262K tokens.

Do both Arcee AI: Trinity Large Thinking and Google: Gemma 4 31B support tool calling?

Arcee AI: Trinity Large Thinking: yes. Google: Gemma 4 31B: yes.

Compare Arcee AI: Trinity Large Thinking with other models

Compare Google: Gemma 4 31B with other models