30 related articles

Kimi K2.7 Code open-sourced with 30% fewer tokens; HiDream O1 Image 1.5 tops global rankings, beating Google and ByteDance. A roundup of China's latest AI breakthroughs.

Hands-on test of Kimi K2.7 Code in High Speed mode across two real projects: a frontend interactive lab and an e-commerce microservice. Speed is noticeably improved, with strong responsiveness for legacy codebases and frontend-backend integration.

Deep dive into Moonshot AI's Kimi K2.7 Code: MoE architecture details, benchmark analysis, API pricing vs Claude/GPT, 6x speed version, and practical guidance for developers evaluating adoption.

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.

Real-world comparison of Kimi K2.7-Code vs K2.6 across five hardcore challenges: particle effects, rigid body physics, soft body physics, UI design, and code review — with quality, Token, and cost data.

GPT-6 may be completed, Anthropic's Claude Honeycomb appears to be an early Opus 5 version, Kimi K3 is imminent, and Google Gemini faces further delays. Deep analysis of the latest AI model competition.

GPT-6 may be complete, Anthropic's mysterious Claude Honeycomb appears to be an early Opus 5 version, Kimi K3 is imminent, and Google Gemini continues to delay. Deep analysis of the latest AI model competition.

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.

Moonshot AI's Kimi K3 launches with 2.8 trillion parameters, tops LMArena frontend coding leaderboard as world #1, completing tasks at one-third competitors' cost. Fully open-source for commercial use.

Moonshot AI releases Kimi K3, a 2.8 trillion parameter open-source model using MoE architecture that tops the global frontend coding arena at under $1 per task, beating GPT and Claude.

Deep dive into Kimi K3: the largest open-weight model at 3 trillion parameters, surpassing Opus-level models in Agentic coding with 896-expert MoE architecture, 1M token context, at Sonnet pricing.

A US engineer's live test of Kimi K3: 2.8T parameters, 1M token context, 87% audience vote over Fable5 in game generation. Full report covering benchmarks, speed, and code debugging.

CodeWell open-sources a multi-model terminal coding agent, Kimi K3 launches with ultra-long context, MiniMax Code 2.0 rebuilds its Agent architecture, and Claude gets browser access. AI is accelerating from content generation to task execution.

Real-world test of Hermes 0.18 MoA (Mixture of Agents): multiple models collaborate, advisors answer independently, a decision-maker synthesizes. Covers setup, speed, cost trade-offs, and best practices.

OpenAI's GPT-5.6 Soul, Terra & Luna are priced at one-third of Claude, leading Anthropic Fable on many benchmarks. We analyze its value, reasoning, and jailbreak risks.

OpenAI releases the GPT-5.6 model family, launching enterprise-focused ChatGPT Work, one-click ChatGPT Sites, and a major desktop client upgrade, with coding now ahead of rivals. Meta, Google, and Kimi follow intensively.

A senior developer's 24-hour deep test of Grok 4.5: a 1.5T-param MoE model at $2/M input tokens, with coding benchmarks rivaling GPT-5.5. Real performance, token efficiency, and limits explained.
Devin Adds Kimi K2.7 and GLM 5.2 — Bot…
Devin now supports Kimi K2.7 and GLM 5.2 on Desktop and CLI. Pro, Max, and Teams users can use both models quota-free until July 5. Strong FrontierCode Extended benchmark results make this a perfect evaluation window.

In-depth guide to Kimi Code's advanced features: video understanding, Swarm parallel mode, ACP protocol IDE integration, Goal multi-round iteration, and Skills configuration with Claude Opus comparison data.

Deep dive into Loop Engineering: core mechanisms, three major pain points (reliability, cost, context bloat), and Harness workflow solutions including mixed model strategies and Human in the Loop.