LLM ReferenceLLM Reference

MiniMax M2

minimax-m2

Researched 29d ago

Last refreshed 2026-05-11. Next refresh: weekly.

RAGLong contextClassificationJSON / Tool use

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

Decision context: RAG task fit, 3 tracked provider routes, and research from 2026-04-19.

Use it for

  • Teams evaluating rag, long context, and classification
  • Workloads that can use a 197K context window
  • Buyers comparing 3 tracked provider routes

Do not use it for

  • Vision or document-understanding workloads

Cheapest output

$0.900

Fireworks AI per 1M tokens

Provider routes

3

Tracked API hosts

Quality / dollar

Unknown

No task benchmark coverage yet

Freshness

2026-04-19

Researched 29d 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

ProviderInput / 1MOutput / 1MRoute
Fireworks AI$0.900$0.900
Serverless
OpenRouter$0.255$1.00
Serverless
AWS Bedrock$0.400$1.60
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 - $0.255/M input, $1.00/M output

MiniMax M2 has a 197K-token context window.

MiniMax M2 input tokens at $0.255/1M, output at $1/1M.

Capabilities

Structured Outputs

Rankings

Specifications

Released2025-10-01
Context197K
ArchitectureDecoder Only
Specializationgeneral

Created by

Developing AI for gaming and entertainment.

Minhang, Shanghai, China
Founded 2021
Website