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MiniMax: MiniMax M1

Source description (English)

MiniMax-M1 is a large-scale, open-weight reasoning model designed for extended context and high-efficiency inference. It leverages a hybrid Mixture-of-Experts (MoE) architecture paired with a custom "lightning attention" mechanism, allowing it...

Overview

Model specifications

Context
1,000,000 tokens
Maximum output
40,000 tokens
Architecture
text->text
Tokenizer
Other
Knowledge cutoff
2024-06-30
Moderated
No
OPENROUTER

Complete pricing

Synchronized OpenRouter rates. Token prices are shown per one million tokens.

Input
$0.4
per 1M tokens
Output
$2.2
per 1M tokens
API

Model configuration

Reasoning

Reasoning required
No
Default parameters
No
API

Quick start

Set OPENROUTER_API_KEY locally. Python requires requests; JavaScript runs in Node.js. Keep the key on the server.

API documentation

curl --fail-with-body https://openrouter.ai/api/v1/chat/completions \
  -H "Authorization: Bearer $OPENROUTER_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"model":"minimax/minimax-m1","messages":[{"role":"user","content":"Hello!"}]}'
Capabilities

InputOutput

Input
text
Output
text
Reasoning

No

API

Supported API parameters

frequency_penaltyinclude_reasoningmax_tokenspresence_penaltyreasoningrepetition_penaltyseedstoptemperaturetool_choicetoolstop_ktop_p
Available providers

2 providers

Checked: September 16, 2026

Live providers on OpenRouter

Provider availability, latency, throughput and routing can change continuously. Open the source page for current operational data.

OpenRouter

Minimax

Not provided
Context
1M
Maximum output
40K
Input
$0.4
Output
$2.2
Cache read
Not provided
Cache write
Not provided

Novita

bf16
Context
1M
Maximum output
40K
Input
$0.55
Output
$2.2
Cache read
Not provided
Cache write
Not provided
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