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MiniMax M1

MiniMax

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...

Updated 25 min ago · first seen 11 Sept 2026

model_01M294WWFC8JMJMQ54BY9KGHAD

Context
1M tokens
T2 · 25 min ago
Released
17 Jun 2025
T2 · 25 min ago
Knowledge cutoff
Jun 2024
T2 · 25 min ago

Specification

Release date
17 Jun 2025

Source:OpenRouter public model & pricing listingT2observed 25 min agomedium

Context window
1M tokens

Source:OpenRouter public model & pricing listingT2observed 25 min agomedium

Max output
40K tokens

Source:OpenRouter public model & pricing listingT2observed 25 min agomedium

Knowledge cutoff
Jun 2024

Source:OpenRouter public model & pricing listingT2observed 25 min agomedium

Modalities
text

Source:OpenRouter public model & pricing listingT2observed 25 min agomedium

Input modalities
text

Source:OpenRouter public model & pricing listingT2observed 25 min agomedium

Output modalities
text

Source:OpenRouter public model & pricing listingT2observed 25 min agomedium

Openrouter id
minimax/minimax-m1

Source:OpenRouter public model & pricing listingT2observed 25 min agomedium

Supported parameters
frequency_penalty, include_reasoning, max_tokens, presence_penalty, reasoning, repetition_penalty, seed, stop, temperature, tool_choice, tools, top_k, top_p

Source:OpenRouter public model & pricing listingT2observed 25 min agomedium

Each value shows its source, tier and observation time. Conflicting claims are kept side by side and flagged — never averaged. How AI Atlas records facts →

Provenance

Attributed facts

13

Source tiers

T213

Freshest observation

25 min ago

Conflicts

None