Auto-generated comparison

DeepSeek: DeepSeek V3.1 vs MiniMax: MiniMax M2-her

DeepSeek: DeepSeek V3.1 wins on 4 of 6 axes — pricing and capability skew in its favour for most workloads.

Side-by-side comparison

CapabilityDeepSeek: DeepSeek V3.1MiniMax: MiniMax M2-herWinner
Context window
Maximum number of input tokens the model can attend to in a single request.
33K66K🏆 MiniMax: MiniMax M2-her
Input price (per 1M)
Cost per million input tokens billed by the provider.
$0.15$0.30🏆 DeepSeek: DeepSeek V3.1
Output price (per 1M)
Cost per million output tokens billed by the provider.
$0.75$1.20🏆 DeepSeek: DeepSeek V3.1
Tool / function calling
First-class support for emitting structured tool calls.
Yes🏆 DeepSeek: DeepSeek V3.1
Vision input
Accepts image inputs alongside text.
Tie
Reasoning mode
Internal chain-of-thought / extended-thinking support.
Yes🏆 DeepSeek: DeepSeek V3.1

Frequently asked questions

Is DeepSeek: DeepSeek V3.1 better than MiniMax: MiniMax M2-her?

DeepSeek: DeepSeek V3.1 wins on 4 of 6 axes — pricing and capability skew in its favour for most workloads.

What's the price difference between DeepSeek: DeepSeek V3.1 and MiniMax: MiniMax M2-her?

Input: $0.15 vs $0.30 per 1M tokens. Output: $0.75 vs $1.20 per 1M tokens.

What context windows do DeepSeek: DeepSeek V3.1 and MiniMax: MiniMax M2-her support?

DeepSeek: DeepSeek V3.1 supports up to 33K tokens. MiniMax: MiniMax M2-her supports up to 66K tokens.

Do both DeepSeek: DeepSeek V3.1 and MiniMax: MiniMax M2-her support tool calling?

DeepSeek: DeepSeek V3.1: yes. MiniMax: MiniMax M2-her: not advertised.

Compare DeepSeek: DeepSeek V3.1 with other models

Compare MiniMax: MiniMax M2-her with other models