Auto-generated comparison

DeepSeek Chat (legacy id) vs Mistral: Mistral Small 3.2 24B

Mistral: Mistral Small 3.2 24B wins on 3 of 6 axes — pricing and capability skew in its favour for most workloads.

Side-by-side comparison

CapabilityDeepSeek Chat (legacy id)Mistral: Mistral Small 3.2 24BWinner
Context window
Maximum number of input tokens the model can attend to in a single request.
164K128K🏆 DeepSeek Chat (legacy id)
Input price (per 1M)
Cost per million input tokens billed by the provider.
$0.32$0.07🏆 Mistral: Mistral Small 3.2 24B
Output price (per 1M)
Cost per million output tokens billed by the provider.
$0.89$0.20🏆 Mistral: Mistral Small 3.2 24B
Tool / function calling
First-class support for emitting structured tool calls.
YesYesTie
Vision input
Accepts image inputs alongside text.
Yes🏆 Mistral: Mistral Small 3.2 24B
Reasoning mode
Internal chain-of-thought / extended-thinking support.
Tie

Frequently asked questions

Is DeepSeek Chat (legacy id) better than Mistral: Mistral Small 3.2 24B?

Mistral: Mistral Small 3.2 24B wins on 3 of 6 axes — pricing and capability skew in its favour for most workloads.

What's the price difference between DeepSeek Chat (legacy id) and Mistral: Mistral Small 3.2 24B?

Input: $0.32 vs $0.07 per 1M tokens. Output: $0.89 vs $0.20 per 1M tokens.

What context windows do DeepSeek Chat (legacy id) and Mistral: Mistral Small 3.2 24B support?

DeepSeek Chat (legacy id) supports up to 164K tokens. Mistral: Mistral Small 3.2 24B supports up to 128K tokens.

Do both DeepSeek Chat (legacy id) and Mistral: Mistral Small 3.2 24B support tool calling?

DeepSeek Chat (legacy id): yes. Mistral: Mistral Small 3.2 24B: yes.

Compare DeepSeek Chat (legacy id) with other models

Compare Mistral: Mistral Small 3.2 24B with other models