LLM Reference
MiniMax

MiniMax M1 on MiniMax

MiniMax M1 · MiniMax

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

Why use MiniMax M1 on MiniMax?

MiniMax offers MiniMax M1 with pay-as-you-go pricing at $0.40/1M input tokens. MiniMax is a multimodal foundation model and API platform for text, speech, video, image, and music generation with agent tools.

Input / 1M
$0.40
Output / 1M
$2.20
Cache
Not sourced
Batch
Not sourced

Setup recipe

Docs fallback
Install
Use the provider REST API or SDK
Auth
Create a provider API key
Call
model: minimax/minimax-m1
Model ID
minimax/minimax-m1

Request example

Curated snippets for this provider are not sourced yet. Use MiniMax documentation with model ID minimax/minimax-m1.

Gotchas

  • Use provider model ID "minimax/minimax-m1", not the LLMReference slug "minimax-m1".

Pricing

TypePrice (per 1M)
Input tokens$0.40
Output tokens$2.20

Capabilities

ReasoningFunction CallingTool UseStructured Outputs

About MiniMax M1

MiniMax-M1 is a large-scale open-weight reasoning model from MiniMax with 456B total parameters and a 1M token context window, designed for extended reasoning and high-efficiency inference.

FAQ

What does MiniMax M1 cost on MiniMax?

On MiniMax, MiniMax M1 costs $0.40 per 1M input tokens and $2.20 per 1M output tokens.

What is the context window for MiniMax M1 on MiniMax?

MiniMax M1 supports a 1m token context window on MiniMax.

What API model ID do I use for MiniMax M1 on MiniMax?

Use the model ID minimax/minimax-m1 when calling MiniMax's API.

Who created MiniMax M1?

MiniMax M1 was created by MiniMax as part of the MiniMax M1 model family.

Is MiniMax M1 open source?

MiniMax M1 is open source according to the seed data.

Get Started

Model Specs

Released2025-09-01
Parameters456B
Context1m
Architecturemoe