#MiniMax M2.5
55 related articles
·3 分钟
Kimi K3 Reaches 2.5T Parameters, MiniMax M3 Pro Brewing Simultaneously: China's LLM Arms Race Escalates
Kimi K3 adopts new architecture with 2.5T parameters and 1M token context. MiniMax M3 Pro targets 2.7-3T. OpenAI surpasses 7M users, HY-OCR 1.5 achieves SOTA, Amap launches world model.
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产品体验·1 分钟
MiniMax M2.5 Hands-On Review: How 10B Parameters Deliver Flagship-Level Coding Performance
Hands-on review of MiniMax M2.5's coding performance in Claude Code, including 3D game dev and AI translation platforms, compared to Claude Opus and GPT-5.2.
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·3 分钟
Open Source vs. Closed Source: Who Will Win the US-China AI Battle?
Chinese open-source models DeepSeek and Kimi K3 are challenging OpenAI's closed-source dominance. Analyzing the business logic, chip ecosystems, and US-China strategic dynamics behind the open vs. closed AI debate.
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·4 分钟
Choosing the Wrong Agent Ruins Everything: Why the Same Model Can Perform Like Two Completely Different AIs
The same LLM API performs drastically differently under different Agent frameworks. Through a real database crash case, this article analyzes why choosing the right Agent matters more than switching models.
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·3 分钟
Open Source vs. Closed Source: Who Will Win the US-China AI Battle?
Chinese open-source models DeepSeek and Kimi K3 challenge OpenAI's closed-source dominance. Analysis of open vs. closed AI strategies, CUDA moat erosion, and the US-China strategic battle for AI supremacy.
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·1 分钟
Codex vs Claude Code: A Deep Cost Comparison — Which AI Coding Assistant Saves You More Money?
Which is more cost-effective, OpenAI Codex or Claude Code? Starting from real bills, this article breaks down the billing structure, multiplier traps, and subscription limits of AI coding assistants.
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·3 分钟
The AI Coding Landscape: Model Tiers, Tool Camps, and a Deep Dive into MCP/Skills/CLI
A systematic map of today's AI coding landscape: the evolution from ChatGPT to Claude Code, LLM capability tiers, tool camps like Cursor/Copilot, and the three key weapons of the Agent era — MCP, Skills, and CLI.
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·3 分钟
The T-Parameter Era of Open-Source LLMs: Four Chinese AI Companies Break the Trillion-Parameter Barrier
Moonshot AI, Alibaba, DeepSeek, and Meituan all crossed the trillion-parameter threshold. China's open-source LLMs made the B-to-T leap in just 18 months.
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·5 分钟
From Vibe Coding to AI Engineering: A Complete Guide to Enterprise-Grade Development
In the AI programming era, Vibe Coding alone can only build toys. This article deeply analyzes the complete engineering path from Vibe Coding to SDD spec-driven development, covering Claude Code and Codex tool selection, the SuperPower plugin, and domestic LLM comparisons.
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·3 分钟
Qwen3.8 Deep Dive: How Does a 2.4 Trillion Parameter MoE Model Claim Second Place?
Alibaba's Qwen3.8 challenges larger models with a 2.4T-parameter MoE architecture, claiming second only to Gemini. A deep dive into MoE mechanics, continuous updates, two-speed release strategy, and real local deployment requirements.
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·2 分钟
Vibe Coding vs AI Engineering: A Practical Enterprise-Level Comparison Guide
A deep dive comparing Vibe Coding vs AI Engineering, with hands-on analysis of Claude Code and Codex, two real projects, and the role of Skills in enterprise AI development.
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·3 分钟
OpenClaw Multi-Agent AI Programming Workflow in Practice: From Coder to Manager
Deep dive into OpenClaw multi-agent AI programming workflows: context layering, CMUX parallel terminal management, work trees, and manager-perspective debiasing for scalable AI dev automation.
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·3 分钟
DeepSeek V4 Coming Soon: Flash Version May Surpass HY3, GPT-5.6 Reasoning Budget Quietly Cut
DeepSeek V4 drops this month with native vision; OpenAI quietly cut GPT-5.6 reasoning budget; Anthropic extends Fable 5 access ahead of GPT-6; Seedance 2.5 hits 180s 4K video generation.
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·2 分钟
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 分钟
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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·3 分钟
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 分钟
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 分钟
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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·2 分钟
Kimi K2.7 Code Hands-On Review: What Makes This Trillion-Parameter Open-Source Coding Model Stand Out?
In-depth hands-on review of Kimi K2.7 Code open-source coding model across 6 scenarios including 3D games, frontend design, and STL parsing. Trillion-parameter MoE with 30% token efficiency gains at 1/12.5 the price of closed-source models.
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·2 分钟
AI Coding Tool Subscription Showdown: How Much Do You Really Get for $20/Month?
Side-by-side comparison of Claude Code, Codex, and Zhipu International subscriptions — pricing, quota multipliers, and real-world value to help developers find the best plan.
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