Model catalogue

MiniMax
MiniMax M2.1
minimax/minimax-m2.1
Specification
Published by the vendor; the platform bills at the target's declared price.
MiniMax M2.1
reasoning open weights toolsMiniMax minimax/minimax-m2.1
MiniMax-M2.1 is a lightweight, state-of-the-art large language model optimized for coding, agentic workflows, and modern application development. With only 10 billion activated parameters, it delivers a major jump in real-world...
- Input $/1M
- $0.30
- Output $/1M
- $1.20
- Context
- 205K
- Max output
- 131K
- Released
- Dec 23, 2025
- Modalities
- text
Cached input reads $0.03 per 1M · weights on Hugging Face as MiniMaxAI/MiniMax-M2.1
On this deployment
No routing target resolves to this model yet. Declare one and the router picks it up without retraining.
Not routable here yet
Add a target with metadata.model set to this id.
targets.yamlyaml
# targets.yaml - declare a target that runs MiniMax M2.1
targets:
- id: minimax-m2-1
kind: llm
name: MiniMax M2.1
metadata:
model: minimax/minimax-m2.1 # links the target to this catalogue entry
capabilities:
domains: [general]
supports_tools: true
context_window: 204800
cost:
usd_per_1k_tokens: 0.000750Price among MiniMax models
Input list price per million tokens; MiniMax M2.1 is the 6th cheapest of 11 listed.
- 1free
- 2free
- 3$0.20
- 4$0.26
- 5$0.27
- 6$0.30MiniMax M2.1
- 7$0.30
- 8$0.30
- 9$0.30
- 10$0.30
- 11$0.55
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- MiniMax M2-herJan 23, 2026$0.30 in
- MiniMax M2Oct 23, 2025$0.26 in
- MiniMax M1Jun 17, 2025$0.55 in
- MiniMax-01Jan 15, 2025$0.20 in