LLM Reference

MiniMax M2.1

minimax-m2-1

Researched 2d ago

Last refreshed 2026-05-19. Next refresh: weekly.

ProprietaryRAGLong contextClassificationJSON / Tool use

MiniMax M2.1 is worth evaluating for rag, long context, and classification when its provider route and context window match the workload.

Decision context: RAG task fit, 2 tracked provider routes, and research from 2026-05-19.

Use it for

  • Teams evaluating rag, long context, and classification
  • Workloads that can use a 200k context window
  • Buyers comparing 2 tracked provider routes

Do not use it for

  • Vision or document-understanding workloads

Cheapest output

$0.950

OpenRouter per 1M tokens

Provider routes

2

Tracked API hosts

Quality / dollar

Unknown

No task benchmark coverage yet

Freshness

2026-05-19

Researched 2d ago

fresh

Top use-case fit

RAG

Included by capability and metadata signals in the decision map.

Long context

Included by capability and metadata signals in the decision map.

Classification

Included by capability and metadata signals in the decision map.

Provider price ladder

Compare all 2
ProviderInput / 1MOutput / 1MRoute
OpenRouter$0.290$0.950
Serverless
AWS Bedrock$0.300$1.20
Serverless

Benchmark peer barsfor RAG

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

Migration checks

No linked migration route is available for this model yet.

About

MiniMax M2.1 is MiniMax's MiniMax M2 model. It offers a 200K-token context window.

MiniMax M2.1 has a 200K-token context window.

MiniMax M2.1 input tokens at $0.29/1M, output at $0.95/1M.

Capabilities

Structured Outputs

Rankings

Specifications

Released2025-12-01
Context200k

Created by

Developing AI for gaming and entertainment.

Minhang, Shanghai, China
Founded 2021
Website