LLM Reference

MiniMax M2-her

Released
2026-03-01
Last refreshed
2026-04-27
Status
Researched 45d ago
Open SourceCommercial use allowed

MiniMax M2-her has model metadata, but missing tracked provider pricing keeps it from being a default production pick.

Use it for

  • Teams evaluating general LLM work
  • Workloads that can use a 64k context window

Do not use it for

  • Cost-sensitive launches that need sourced token pricing
  • Vision or document-understanding workloads
  • Strict JSON or tool-calling flows
Specifications
Released
2026-03-01
Context
64k
Architecture
Decoder Only
Specialization
general
Openness
Open source
License
MIT(OSI)Commercial use allowed
Training
finetuned
Created by

Developing AI for gaming and entertainment.

Minhang, Shanghai, China
Founded 2021
Website
Pricing

No tracked provider token pricing is available yet.

About

MiniMax M2-her is a dialogue-first model from MiniMax built for immersive roleplay, character-driven chat, and expressive storytelling at 64K context.

MiniMax M2-her is an open-source model in the MiniMax M2 family. The structured metadata tracks a 64k-token context window. No headline benchmark score is tracked for MiniMax M2-her yet.

Top use-case fit

No primary decision-task fit is mapped for this model yet.

Provider price ladder

No tracked provider token pricing is available for this model yet.

Capabilities

No model capability flags are currently sourced.

Benchmark peer barsfor Coding

No task-mapped benchmark peers are available for this model yet.

Migration checks

No linked migration route is available for this model yet.