Auto-generated comparison

Mistral: Mistral Medium 3.5 (batch) vs Relace: Relace Apply 3

Mistral: Mistral Medium 3.5 (batch) wins on 5 of 6 axes — pricing and capability skew in its favour for most workloads.

Side-by-side comparison

CapabilityMistral: Mistral Medium 3.5 (batch)Relace: Relace Apply 3Winner
Context window
Maximum number of input tokens the model can attend to in a single request.
262K256K🏆 Mistral: Mistral Medium 3.5 (batch)
Input price (per 1M)
Cost per million input tokens billed by the provider.
$0.75$0.85🏆 Mistral: Mistral Medium 3.5 (batch)
Output price (per 1M)
Cost per million output tokens billed by the provider.
$3.75$1.25🏆 Relace: Relace Apply 3
Tool / function calling
First-class support for emitting structured tool calls.
Yes🏆 Mistral: Mistral Medium 3.5 (batch)
Vision input
Accepts image inputs alongside text.
Yes🏆 Mistral: Mistral Medium 3.5 (batch)
Reasoning mode
Internal chain-of-thought / extended-thinking support.
Yes🏆 Mistral: Mistral Medium 3.5 (batch)

Frequently asked questions

Is Mistral: Mistral Medium 3.5 (batch) better than Relace: Relace Apply 3?

Mistral: Mistral Medium 3.5 (batch) wins on 5 of 6 axes — pricing and capability skew in its favour for most workloads.

What's the price difference between Mistral: Mistral Medium 3.5 (batch) and Relace: Relace Apply 3?

Input: $0.75 vs $0.85 per 1M tokens. Output: $3.75 vs $1.25 per 1M tokens.

What context windows do Mistral: Mistral Medium 3.5 (batch) and Relace: Relace Apply 3 support?

Mistral: Mistral Medium 3.5 (batch) supports up to 262K tokens. Relace: Relace Apply 3 supports up to 256K tokens.

Do both Mistral: Mistral Medium 3.5 (batch) and Relace: Relace Apply 3 support tool calling?

Mistral: Mistral Medium 3.5 (batch): yes. Relace: Relace Apply 3: not advertised.

Compare Mistral: Mistral Medium 3.5 (batch) with other models

Compare Relace: Relace Apply 3 with other models