ReasoningMiniMax

MiniMax M1

MiniMax M1 is MiniMax's reasoning-specialized model with a 1 million token context window, designed for complex analytical and problem-solving tasks.

Context 1.0M
Tier Reasoning
Input from
$0.400 / 1M tokens
across 1 provider
Compare Prices

API Pricing

ProviderInput / 1MOutput / 1MUpdated
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OpenRouter
$0.400$2.204/14/2026

Prices updated daily. Last check: 4/14/2026

Model Details

General

Creator
MiniMax
Family
MiniMax
Tier
Reasoning
Context Window
1.0M
Modalities
Text

Capabilities

Tool Calling
No
Open Source
No

Strengths & Limitations

  • 1 million token context window enables processing of extensive documents and complex reasoning chains
  • Reasoning-tier specialization optimized for analytical and problem-solving tasks
  • Large context capacity supports comprehensive document analysis and multi-step reasoning
  • Developed by MiniMax with focus on reasoning capabilities
  • Suitable for tasks requiring extended logical processing
  • No tool calling support limits integration capabilities
  • Text-only modality excludes image or multimodal inputs
  • Proprietary model with no open-source availability
  • Reasoning specialization may not suit general conversational use cases
  • Limited to text-based reasoning tasks only

Key Features

•1 million token context window
•Reasoning-optimized architecture
•Text input and output processing
•Extended context retention for complex analysis
•Specialized problem-solving capabilities

About MiniMax M1

MiniMax M1 is a reasoning-tier language model developed by MiniMax, positioned as the company's specialized solution for complex analytical tasks. As a reasoning model, it sits in MiniMax's tier focused on deep problem-solving capabilities rather than general conversational AI. The model operates with a substantial 1 million token context window and supports text-only interactions. MiniMax M1 is designed specifically for tasks requiring extended reasoning chains, mathematical problem-solving, and analytical workflows that benefit from the model's reasoning-optimized architecture. MiniMax M1 targets users who need specialized reasoning capabilities for complex problem-solving scenarios, research tasks, and analytical work that requires processing large amounts of context while maintaining logical coherence throughout extended reasoning processes.

Common Use Cases

MiniMax M1 is designed for reasoning-intensive workloads that require deep analytical capabilities and extended context processing. Its 1 million token context window makes it suitable for comprehensive document analysis, research synthesis, complex mathematical problem-solving, and multi-step reasoning tasks. The model's reasoning-tier specialization makes it particularly valuable for academic research, technical analysis, legal document review, and scientific problem-solving where maintaining logical coherence across extensive reasoning chains is essential. Organizations requiring detailed analytical capabilities for large-scale text processing and complex decision-making scenarios will find MiniMax M1's reasoning focus and substantial context capacity beneficial for their specialized workflows.

Frequently Asked Questions

How much does MiniMax M1 cost per million tokens?

MiniMax M1 pricing varies by provider and pricing type. Check the pricing table above for current rates across all providers offering MiniMax M1 access.

What is MiniMax M1 best used for?

MiniMax M1 excels at reasoning-intensive tasks requiring extended analysis and problem-solving. Its 1 million token context window and reasoning-optimized architecture make it ideal for complex document analysis, multi-step mathematical reasoning, research synthesis, and analytical workflows that require maintaining logical coherence across extensive reasoning chains.

Does MiniMax M1 support tool calling or function calling?

No, MiniMax M1 does not support tool calling or function calling capabilities. The model is focused on reasoning tasks and text-based analysis, but cannot integrate with external tools or APIs through structured function calls.