minimax

MiniMax: MiniMax M2-her

MiniMax M2-her is a text-only model from MiniMax with a 65,536-token context window and a 2,048-token output cap. It accepts text input only, does not support tool calling or reasoning modes, and has no confirmed structured output capability. That combination keeps its use cases fairly narrow: straightforward text generation, summarization, drafting, and similar single-turn or short-context tasks. On price, it sits at $0.30 per million input tokens and $1.20 per million output tokens, which is competitive for low-volume experimentation. The significant caveat is that there is no independent benchmark coverage to consult, so performance relative to similarly priced models is currently unverifiable. Buyers who want cost-efficient text generation and are willing to run their own evaluations may find it worth testing, but anyone requiring validated quality benchmarks, tool use, or multimodal input should look elsewhere first.

Quality Score
62/100
price + capability + benchmarks
Input Price
$0.30
per 1M tokens
Output Price
$1.20
per 1M tokens
Context Window
65,536
tokens
Model ID
minimax/minimax-m2-her
Vendor
minimax
Released
January 2026
Tokenizer
Other
Input Modalities
text
Output Modalities
text
Max Output
2,048 tokens
Tool Calling
not supported
Structured Output
not supported
Reasoning Mode
not supported
Vision
text only
Audio
no
Moderated
no

What it costs in practice

Computed from the current $0.30/M input and $1.20/M output rates. Run your own numbers →

JobTokensCost
Summarize a 50-page report 30k in / 1.5k out $0.01
Classify 1,000 customer emails 500k in / 50k out $0.21
A month of a busy support chatbot 5M in / 2M out $3.90

Similar models

Quick answers

How much does MiniMax: MiniMax M2-her cost?
$0.30 per million input tokens and $1.20 per million output tokens.
What is MiniMax: MiniMax M2-her's context window?
65,536 tokens, roughly 98 pages of text in a single request.
Can MiniMax: MiniMax M2-her process images?
No, it is text-only on the input side.