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What is MiniMax M2.5?

MiniMax M2.5 is an advanced frontier model designed to deliver real-world productivity across coding, search, agentic tool use, and high-value office tasks. Built on large-scale reinforcement learning across hundreds of thousands of structured environments, it achieves state-of-the-art results on benchmarks such as SWE-Bench Verified, Multi-SWE-Bench, and BrowseComp. The model demonstrates architect-level planning capabilities, decomposing system requirements before generating full-stack code across more than ten programming languages including Go, Python, Rust, TypeScript, and Java. It supports complex development lifecycles, from initial system design and environment setup to iterative feature development and comprehensive code review. With native serving speeds of up to 100 tokens per second, M2.5 significantly reduces task completion time compared to prior versions. Reinforcement learning enhancements improve token efficiency and reduce redundant reasoning rounds, making agentic workflows faster and more precise. The model is available in both M2.5 and M2.5-Lightning variants, offering identical intelligence with different throughput configurations. Its pricing structure dramatically undercuts other frontier models, enabling continuous deployment at a fraction of traditional costs. M2.5 is fully integrated into MiniMax Agent, where standardized Office Skills allow it to generate formatted Word documents, financial models in Excel, and presentation-ready PowerPoint decks. Users can also create reusable domain-specific “Experts” that combine industry frameworks with Office Skills for structured, professional outputs. Internally, MiniMax reports that M2.5 autonomously completes a significant portion of operational tasks, including a majority of newly committed code. By pairing scalable reinforcement learning, high-speed inference, and ultra-low cost, MiniMax M2.5 positions itself as a production-ready engine for complex agent-driven applications.

What is GPT‑5.4 Thinking?

GPT-5.4 Thinking is an advanced reasoning model available in ChatGPT that focuses on solving complex problems through structured analysis. Built on the GPT-5.4 architecture, it combines enhanced reasoning, coding abilities, and AI agent workflows into a single powerful system. The model is designed to assist users with demanding professional tasks such as research, document creation, data analysis, and strategic planning. One of its distinguishing features is the ability to provide an initial outline of its reasoning process before delivering the final response. This allows users to guide or refine the direction of the solution while the model is still working. GPT-5.4 Thinking also improves deep web research, enabling it to gather information from multiple sources to answer highly specific queries. The model maintains stronger context awareness during longer conversations, helping it stay aligned with the original task. These improvements allow it to handle complex workflows with greater reliability. GPT-5.4 Thinking also benefits from improvements in tool usage and integration with professional software environments. Its reasoning capabilities help reduce errors and improve the accuracy of generated outputs. This makes it suitable for tasks that require careful analysis and multi-step planning. By combining transparency in reasoning with powerful analytical capabilities, GPT-5.4 Thinking helps users achieve more precise and efficient results.

Media

Media

Integrations Supported

OpenClaw
BLACKBOX AI
Ollama
Roo Code

Integrations Supported

OpenClaw
Auggie CLI
C++
Charlie
Codex Security
GPT-5.1-Codex-Max
JavaScript
Microsoft 365 Copilot
Microsoft 365 Copilot Chat
Microsoft Foundry
Novelcrafter
OpenAI Codex
PowerShell
PrivatClaw
ThreadMaster.ai
TranslateAI
Xcode

API Availability

Has API

API Availability

Has API

Pricing Information

Free
Open source
Free Version

Pricing Information

Pricing not provided

Supported Platforms

SaaS
Windows
Mac
Linux

Supported Platforms

SaaS

Customer Service / Support

Not specified

Customer Service / Support

Web-Based Support

Training Options

Documentation Hub

Training Options

Documentation Hub

Company Facts

Organization Name

MiniMax

Date Founded

2021

Company Location

Singapore

Company Website

www.minimax.io

Company Facts

Organization Name

OpenAI

Date Founded

2015

Company Location

United States

Company Website

openai.com

Categories and Features

AI Coding Models

Not specified

AI Models

Not specified

Large Language Models

Not specified

Open-Weight AI Models

Not specified

Categories and Features

AI Models

Not specified

Large Language Models

Not specified

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