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MiniMax: MiniMax M1

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...

Best for

Complex ReasoningMath & LogicResearchBulk Data Extraction
Context Window
1000K tokens ≈ 2.2K pages
Input Cost
$0.40/1M
Output Cost
$2.20/1M
Latency p50

Pricing Details

Standard Pricing
Input (per 1M tokens)
$0.40
Output (per 1M tokens)
$2.20

Price history

6/10/2026$0.40 in / $2.20 out
6/10/2026$0.40 in / $2.20 out
6/10/2026$0.40 in / $2.20 out
6/9/2026$0.40 in / $2.20 out
6/9/2026$0.40 in / $2.20 out

Run it locally

Local run command

# Refer to provider docs: 

Presumptive Specs:

Typical GPU

12–24 GB VRAM

System RAM

16+ GB

Disk

20+ GB free

Runtime

Docker / local runtime

Hallucination Score™ (est.)

Community reliability estimate · not official

Not yet rated

About this score: Community-estimated based on user reports and publicly available benchmark data (e.g. TruthfulQA). This is not an official score from the model provider. Scores may be inaccurate — always verify with the official leaderboard before making production decisions.

Price HistoryPro

Input & output cost per 1M tokens over time

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Provider

minimax

Community Prompts

Proven prompts shared by the community for this model

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MiniMax: MiniMax M1 — modelstop.top