ReasoningMiniMax

MiniMax M2.7

MiniMax M2.7 is MiniMax's reasoning model designed for analytical and problem-solving tasks, featuring a 204K token context window and text-only capabilities.

Context 205K
Tier Reasoning
Input from
$0.150 / 1M tokens
across 3 providers

API Pricing

Cheapest on Amazon AWS 40% below avg
ProviderInput / 1MOutput / 1MSpeedTTFTUpdated
$0.150$0.60073.7 t/s3.3s4/14/2026
$0.255$1.0073.7 t/s3.3s4/14/2026
$0.300$1.2073.7 t/s3.3s4/14/2026
$0.300$1.2073.7 t/s3.3s4/14/2026

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

Model Details

General

Creator
MiniMax
Family
MiniMax
Tier
Reasoning
Context Window
205K
Modalities
Text

Capabilities

Tool Calling
No
Open Source
No

Strengths & Limitations

  • 204K token context window supports analysis of lengthy documents
  • Reasoning-focused architecture optimized for analytical tasks
  • 43.43 tokens per second output speed for reasonable response times
  • Text-specialized design without complexity from additional modalities
  • Large context capacity enables comprehensive problem analysis
  • Developed by MiniMax with focus on Chinese and international markets
  • No tool calling or function execution capabilities
  • Text-only modality with no image or multimodal support
  • Proprietary model with no open-source availability
  • 1,984ms time to first token is slower than some competitors
  • Limited to reasoning tasks rather than general-purpose applications

Key Features

204,800 token context window
Text-only input and output
Reasoning-optimized architecture
43.43 tokens per second generation speed
Streaming response capability
Chinese and English language support
Analytical problem-solving focus

About MiniMax M2.7

MiniMax M2.7 is a reasoning-tier language model developed by MiniMax, positioned as their specialized solution for analytical and problem-solving workloads. As part of the MiniMax model family, M2.7 focuses on deliberative reasoning capabilities rather than general-purpose chat or creative tasks. The model operates with a 204,800 token context window, enabling it to process substantial amounts of text for analysis and reasoning. M2.7 supports text-only interactions and generates responses at 43.43 tokens per second with a time to first token of 1,984 milliseconds according to Artificial Analysis benchmarks. The model does not include tool calling capabilities, maintaining a focused approach on direct text-based reasoning. MiniMax M2.7 serves users who need structured analytical thinking for complex problems, mathematical reasoning, and logical analysis tasks. As a reasoning model, it prioritizes accuracy and methodical problem-solving over speed or multimodal capabilities.

Common Use Cases

MiniMax M2.7 is designed for analytical and reasoning-intensive workloads that require careful problem decomposition and logical thinking. Its 204K context window makes it suitable for analyzing lengthy research papers, legal documents, or technical specifications where comprehensive understanding is essential. The model excels at mathematical problem-solving, logical reasoning tasks, academic research assistance, and complex decision analysis. Users needing step-by-step problem breakdown, evidence evaluation, or systematic analysis of multi-faceted issues will benefit from M2.7's reasoning-focused capabilities. The text-only design makes it ideal for pure analytical tasks without the overhead of multimodal processing.

Frequently Asked Questions

How much does MiniMax M2.7 cost per million tokens?

MiniMax M2.7 pricing varies by provider and usage type. Check the pricing table above for current rates across all available providers.

What is MiniMax M2.7 best used for?

MiniMax M2.7 is optimized for reasoning and analytical tasks such as mathematical problem-solving, logical analysis, research document review, and complex decision-making. Its 204K context window and reasoning-focused architecture make it particularly effective for systematic problem breakdown and evidence-based analysis.

Does MiniMax M2.7 support tool calling or multimodal inputs?

No, MiniMax M2.7 does not support tool calling or function execution. It is also text-only, without support for images or other modalities. This focused design prioritizes reasoning capabilities over additional features.