**Julian Goldie SEO** @JulianGoldieSEO [2026-04-20](https://x.com/JulianGoldieSEO/status/2046154662374682651)𝗞𝗶𝗺𝗶 𝗞𝟮.𝟲 𝗶𝘀 𝗖𝗵𝗶𝗻𝗮'𝘀 𝗻𝗲𝘄 𝗼𝗽𝗲𝗻 𝘀𝗼𝘂𝗿𝗰𝗲 𝗮𝗻𝘀𝘄𝗲𝗿 𝘁𝗼 𝗖𝗹𝗮𝘂𝗱𝗲 𝗖𝗼𝗱𝗲.It has 1 trillion parameters but only uses 32 billion at a time.Context window holds 256,000 tokens.It scored 85% on Live Code Bench. Claude hit 64%.It plugs into OpenClaw, Cursor, and Cline with no restrictions.Kimi Claw deploys in the cloud in 2 minutes.It's way cheaper to run than Claude day to day.Save this. Your coding stack just got a real rival.
**Julian Goldie SEO** @JulianGoldieSEO [2026-04-20](https://x.com/JulianGoldieSEO/status/2046181739723460644)Want to make money and save time with AI? Get AI Coaching, Support & Courses👉 https://skool.com/ai-profit-lab-7462/about…Get a FREE AI Course + 1000 NEW AI Agents👉 https://skool.com/ai-seo-with-julian-goldie-1553/about…
**Evolvent AI** @Evolvent\_AI [2026-04-20](https://x.com/Evolvent_AI/status/2046327699057373258)Kimi 2.6 just proved it’s NOT a demo-reel model! We tested it on ClawMark and it beat Gemini 3.1 Pro. Full results:
**Ryan** @ryanhdev [2026-04-21](https://x.com/ryanhdev/status/2046403896424473043)No one cares about bench marks. Try real world problems and see why Anthropocene reigns supreme and these open source models are literal trash. All the do is train reinforcement learning to solve bench mark tasks but suck in real uses. Garbage.
**Avais Aziz** @avaisaziz [2026-04-20](https://x.com/avaisaziz/status/2046259961471414535)K2.6's MoE setup (1T total, 32B active) with native 256k context and INT4 quant makes it practical for large repos where Claude's restrictions bite. LiveCodeBench numbers hold up in my agent runs too. OpenClaw integration is clean, and the cloud deploy speed beats spinning up
**Adolfo | OpenCrabs Creator | truelens.tech** @AdolfoUsier [2026-04-20](https://x.com/AdolfoUsier/status/2046171127475511507)bro 85 vs 64 is wild. and the context window is actually usable not just marketing. I route daily stuff to qwen 3.6 plus and save opus for what actually needs reasoning - kimik2 might change that math tho 💯
**MortyMcMort** @MortMc12416 [2026-04-20](https://x.com/MortMc12416/status/2046308730426503663)Careful of anything from China: lies, stolen, or spyware. It’s any 2 of these 3 things.
**Neural Times** @Neural\_Times [2026-04-20](https://x.com/Neural_Times/status/2046309991699878324)kimi k2.6 looks impressive on paper but i bet the 32b active params still struggle with long context coherence in real projectsguess we'll see if the open weights actually beat claude's ecosystem lock-in or just another hype cycle
**0x三井瘦** @0xmitsui [2026-04-20](https://x.com/0xmitsui/status/2046300709776470388)To be fair, using Kimi K2.6 in Claude Code won't feel any different from anything else—except for your wallet. The key thing is, this stuff is open-source...
**Julian Goldie SEO** @JulianGoldieSEO [2026-04-20](https://x.com/JulianGoldieSEO/status/2046181739723460644)Want to make money and save time with AI? Get AI Coaching, Support & Courses👉 https://skool.com/ai-profit-lab-7462/about…Get a FREE AI Course + 1000 NEW AI Agents👉 https://skool.com/ai-seo-with-julian-goldie-1553/about…
**Evolvent AI** @Evolvent\_AI [2026-04-20](https://x.com/Evolvent_AI/status/2046327699057373258)Kimi 2.6 just proved it’s NOT a demo-reel model! We tested it on ClawMark and it beat Gemini 3.1 Pro. Full results:
2026-04-20 Can confirm — K2.6 isn't just a demo-reel model. Few days ago, we received a bug report from kimi team, and we got early API access, re-ran ClawMark (our living-world openclaw benchmark). After fixing a compatibility bug in openclaw's repo (https://github.com/openclaw/openclaw/issues/62319…), K2.6 lands
**Ryan** @ryanhdev [2026-04-21](https://x.com/ryanhdev/status/2046403896424473043)No one cares about bench marks. Try real world problems and see why Anthropocene reigns supreme and these open source models are literal trash. All the do is train reinforcement learning to solve bench mark tasks but suck in real uses. Garbage.
**Avais Aziz** @avaisaziz [2026-04-20](https://x.com/avaisaziz/status/2046259961471414535)K2.6's MoE setup (1T total, 32B active) with native 256k context and INT4 quant makes it practical for large repos where Claude's restrictions bite. LiveCodeBench numbers hold up in my agent runs too. OpenClaw integration is clean, and the cloud deploy speed beats spinning up
**Adolfo | OpenCrabs Creator | truelens.tech** @AdolfoUsier [2026-04-20](https://x.com/AdolfoUsier/status/2046171127475511507)bro 85 vs 64 is wild. and the context window is actually usable not just marketing. I route daily stuff to qwen 3.6 plus and save opus for what actually needs reasoning - kimik2 might change that math tho 💯
**MortyMcMort** @MortMc12416 [2026-04-20](https://x.com/MortMc12416/status/2046308730426503663)Careful of anything from China: lies, stolen, or spyware. It’s any 2 of these 3 things.
**Neural Times** @Neural\_Times [2026-04-20](https://x.com/Neural_Times/status/2046309991699878324)kimi k2.6 looks impressive on paper but i bet the 32b active params still struggle with long context coherence in real projectsguess we'll see if the open weights actually beat claude's ecosystem lock-in or just another hype cycle
**0x三井瘦** @0xmitsui [2026-04-20](https://x.com/0xmitsui/status/2046300709776470388)To be fair, using Kimi K2.6 in Claude Code won't feel any different from anything else—except for your wallet. The key thing is, this stuff is open-source...
2026-04-20 Let the data speak! @Kimi_Moonshot Kimi K2.6 barely loses to last week's new release from Anthropic, Opus 4.7 Max Effort! I tested Kimi K2.6's performance on Claude Code using my own real workflow, and its overall score of 85.3 lags behind (pre-dumbing down) Opus 4.6 Max Effort
