Thread by @JulianGoldieSEO
AI ยท ยท 2 min read ยท x.com โ
Julian Goldie SEO @JulianGoldieSEO 2026-04-20
๐๐ถ๐บ๐ถ ๐๐ฎ.๐ฒ ๐ถ๐ ๐๐ต๐ถ๐ป๐ฎ'๐ ๐ป๐ฒ๐ ๐ผ๐ฝ๐ฒ๐ป ๐๐ผ๐๐ฟ๐ฐ๐ฒ ๐ฎ๐ป๐๐๐ฒ๐ฟ ๐๐ผ ๐๐น๐ฎ๐๐ฑ๐ฒ ๐๐ผ๐ฑ๐ฒ.
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
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Evolvent AI @Evolvent_AI 2026-04-20
Kimi 2.6 just proved itโs NOT a demo-reel model! We tested it on ClawMark and it beat Gemini 3.1 Pro. Full results:
2026-04-20
Can confirm โ 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/62319โฆ), K2.6 lands
Ryan @ryanhdev 2026-04-21
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
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
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 ๐ฏ
MortyMcMort @MortMc12416 2026-04-20
Careful of anything from China: lies, stolen, or spyware. Itโs any 2 of these 3 things.
Neural Times @Neural_Times 2026-04-20
kimi k2.6 looks impressive on paper but i bet the 32b active params still struggle with long context coherence in real projects
guess we'll see if the open weights actually beat claude's ecosystem lock-in or just another hype cycle
0xไธไบ็ฆ @0xmitsui 2026-04-20
To be fair, using Kimi K2.6 in Claude Code won't feel any different from anything elseโexcept 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