LLM Reference

MiniMax-01

Released
2025-01-14
Last refreshed
2026-06-22
Status
Researched today
Open weightsCommercial use: unknownMultimodalLong contextVision

MiniMax-01 is worth evaluating for long context and vision when its provider route and context window match the workload.

Use it for

  • Teams evaluating long context and vision
  • Workloads that can use a 4m context window
  • Buyers comparing 1 tracked provider route

Do not use it for

  • Strict JSON or tool-calling flows
Specifications
Released
2025-01-14
Context
4m
Parameters
456B total, 45.9B active
Architecture
Mixture of Experts
Specialization
general
Openness
Open weights
Training
Pretrained
Created by

Developing AI for gaming and entertainment.

Minhang, Shanghai, China
Founded 2021
Website
Pricing
Output / 1M
$1.10
Input / 1M
$0.200

Cheapest of 1 route · OpenRouter

About

MiniMax-01 combines MiniMax-Text-01 and MiniMax-VL-01, pairing a 456B-total-parameter MoE language model with multimodal understanding for long-context text generation and vision-language tasks.

MiniMax-01 is an open-weight model. The structured metadata tracks a 4m-token context window and multimodal input. This page tracks provider routes through OpenRouter, with the cheapest tracked route listed at $0.2 input and $1.1 output per 1M tokens. No headline benchmark score is tracked for MiniMax-01 yet.

Top use-case fit

Long context

Included by capability and metadata signals in the decision map.

Vision

Included by capability and metadata signals in the decision map.

Provider price ladder

Compare API pricing across 1 providers for input and output tokens, batch, and cached reads when available.

ProviderInput / 1MOutput / 1MRoute
OpenRouter$0.200$1.10
Serverless

Capabilities

VisionMultimodal

Benchmark peer barsfor Long context

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

Migration checks

No linked migration route is available for this model yet.

Rankings & picks(1)