Auto-generated comparison

Arcee AI: Trinity Large Thinking vs Mistral: Mistral Small 4 (batch)

Mistral: Mistral Small 4 (batch) wins on 3 of 6 axes — pricing and capability skew in its favour for most workloads.

Side-by-side comparison

CapabilityArcee AI: Trinity Large ThinkingMistral: Mistral Small 4 (batch)Winner
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.
$0.25$0.07🏆 Mistral: Mistral Small 4 (batch)
Output price (per 1M)
Cost per million output tokens billed by the provider.
$0.80$0.30🏆 Mistral: Mistral Small 4 (batch)
Tool / function calling
First-class support for emitting structured tool calls.
YesYesTie
Vision input
Accepts image inputs alongside text.
Yes🏆 Mistral: Mistral Small 4 (batch)
Reasoning mode
Internal chain-of-thought / extended-thinking support.
YesYesTie

Frequently asked questions

Is Arcee AI: Trinity Large Thinking better than Mistral: Mistral Small 4 (batch)?

Mistral: Mistral Small 4 (batch) 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 Mistral: Mistral Small 4 (batch)?

Input: $0.25 vs $0.07 per 1M tokens. Output: $0.80 vs $0.30 per 1M tokens.

What context windows do Arcee AI: Trinity Large Thinking and Mistral: Mistral Small 4 (batch) support?

Arcee AI: Trinity Large Thinking supports up to 262K tokens. Mistral: Mistral Small 4 (batch) supports up to 262K tokens.

Do both Arcee AI: Trinity Large Thinking and Mistral: Mistral Small 4 (batch) support tool calling?

Arcee AI: Trinity Large Thinking: yes. Mistral: Mistral Small 4 (batch): yes.

Compare Arcee AI: Trinity Large Thinking with other models

Compare Mistral: Mistral Small 4 (batch) with other models