#MiniMax API
205 related articles
·2 min
Zhipu GLM 5.2 Deep Dive: Can Open-Weight Models Challenge Top Closed-Source AI?
Zhipu GLM 5.2 review: open weights released within 24hrs, built for long-horizon Agent tasks. Strong benchmarks, standout writing & frontend design, at a fraction of closed-model pricing.
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·6 min
From Vibe Coding to AI Engineering: A Complete Practical Guide to Codex and Claude Code
An in-depth analysis of the practical use of Codex and Claude Code, comparing Vibe Coding and AI engineering, covering Super Power plugins, Spec-Driven Development, and Chinese LLM integration strategies.
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·3 min
Unsloth Major Update: DiffusionGemma & Gemma 4 MTP Support, 2x Inference Speed Boost
Unsloth v0.1.464-beta adds DiffusionGemma, Gemma 4 MTP, and MiniMax-M3 support, delivering ~2x inference speed boost, new Hub, RAG Q&A, tensor parallelism, and full CUDA/ROCm/Windows coverage.
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·3 min
AI + Python Reimagines Empirical Research: From Stata to Fully Automated Paper Generation
A PKU-Stanford trainer breaks down how Python surpasses Stata and R, how AI-driven Skills and Paper Workflow automate empirical research from data to LaTeX paper drafts.
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·4 min
Python Tutorial: Build a Gomoku Game from Scratch with Pygame
Build a complete Gomoku game in Python using Pygame. Covers board rendering, mouse events, win detection, and game state management — great for beginners.
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·6 min
10 Billion Tokens in Practice: An In-Depth Review of Codex's Long-Horizon Engineering Capabilities
Creator Ajiang burned 10B Tokens on Codex to migrate cc-haha from Tauri 2 to Electron. A deep dive into Codex's long-horizon engineering, Computer Use, costs, and practical advice for developers.
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·4 min
Adding a 'Repair Layer' to Open-Source Models: How DeepSeek Can Outperform Claude Opus
Independent developer Ahmad Awais found that open-source LLM failures stem from Tool Calling bugs, not model capability. A deterministic repair layer + repair hints can make DeepSeek outperform Claude Opus.
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·2 min
Why Banks and Hospitals Must Use Local AI: A Complete Guide to Private Large Model Deployment
Why do banks and hospitals build Local AI instead of using cloud services? This guide covers the full tech stack — Ollama, RAG, vector databases — and real-world enterprise deployment use cases.
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·3 min
Hermes Agent Complete Guide: Windows WSL Deployment + WeChat Integration
Step-by-step guide to deploying Hermes Agent on Windows via WSL: covers Ubuntu setup, MiniMax model config, web UI, WeChat integration, and key pitfalls to avoid.
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·3 min
MiniMax Hub In-Depth Review: Hands-On with an All-in-One AI Creative Workstation
Hands-on review of MiniMax Hub desktop app — testing a full creative workflow from PDF brief to finished video, covering canvas editing, image tools, video generation, and the skills system.
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Industry Insights·2 min
Nadella Introduces the Loopcraft Framework: Building AI Ecosystems Through Feedback Loops
Microsoft CEO Satya Nadella's Loopcraft framework explains how to build frontier AI ecosystems through nested feedback loops across technology, business, and ecosystem dimensions.
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·3 min
Agent + Skill Architecture: A Practical Guide to AI-Driven End-to-End Automated Testing
Learn how to build an AI-driven API automation testing framework using Agent+Skill architecture with Claude Code, covering test case generation, script execution, and report output.
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·4 min
Claude Code Beginner's Guide: From Installation and Configuration to Hands-On Projects
Complete Claude Code beginner's guide covering Git, VS Code setup, third-party model integration, permissions, Tools, Hooks, Skills, SubAgents, and a hands-on project walkthrough.
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·3 min
Claude Says It's DeepSeek? Unraveling the Truth Behind LLM Identity Confusion
Why does Claude claim to be DeepSeek? This article analyzes LLM identity confusion from three angles: training data contamination, context memory residue, and lack of self-awareness, plus practical verification methods.
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·3 min
MiniMax M3 Coding Benchmark: 1/765th the Price of Opus, but Better Code Quality?
Real-world coding tests compare MiniMax M3 vs Cursor Composer 2.5 across three tasks. At 1/765th the price of Claude Opus, M3 delivers better code quality, tests, and project structure.
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·2 min
MiniMax Model Real-World Test: The Ultimate Cost-Effective Choice for Ultra-Long Research Tasks
Developer tests MiniMax model running 16 hours on research tasks at a fraction of GPT-4o and Claude costs. Analysis of cost advantages, use cases, and multi-model strategies.
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·2 min
Minimax at $40/Month for 35 Billion Tokens: A Deep Dive into This Fable Alternative
Minimax offers 35 billion tokens for just $40/month (~$1.14 per million tokens), far below mainstream AI pricing. Compare Minimax vs Fable for the best value AI inference solution.
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·3 min
Claude Code vs. Codex: A Practical Guide to Enterprise-Grade AI Programming
A deep dive into enterprise AI programming with Claude Code and Codex — from Vibe Coding limitations to SuperPower engineering workflows, model selection, and AI aggregation platforms.
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·3 min
MiniMax Code Hands-On Review: How AI Development Team Mode Redefines Programming Collaboration
In-depth review of MiniMax Code (MCode) Agent Team collaboration through Starbucks financial visualization and Next.js website development cases.
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·4 min
From Vibe Coding to Enterprise-Grade AI Programming: A Complete Progression Path with Practical Analysis
Deep analysis of Vibe Coding's limitations, comparison of Claude Code vs Codex, and a three-layer AI engineering methodology for progressing from casual AI coding to enterprise-grade development.
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