Meet Kimi K2.6 agent - Video hero section, WebGL shaders, real backends. From one prompt.

🔹 Video hero sections - cinematic aesthetic, auto-composited
🔹 WebGL shader animations - native GLSL / WGSL, liquid metal, caustics, raymarching
🔹 Motion design - GSAP + Framer Motion
🔹 Backend database: Kimi wires up auth + database + backend in one pass.
🔹 Website stack - React 19 + TypeScript + Vite + Tailwind + shadcn/ui
🔹 3D w/ physically-based lighting - Three.js + React Three Fiber Video hero sections, built right in.

K2.6 agent calls video generation APIs to create real cinematic footage for your hero, not stock placeholders. Composited into the page, synced to scroll, with shader overlays.

Introducing 𝑨𝒕𝒕𝒆𝒏𝒕𝒊𝒐𝒏 𝑹𝒆𝒔𝒊𝒅𝒖𝒂𝒍𝒔: Rethinking depth-wise aggregation.

Residual connections have long relied on fixed, uniform accumulation. Inspired by the duality of time and depth, we introduce Attention Residuals, replacing standard depth-wise recurrence with learned, input-dependent attention over preceding layers.

🔹 Enables networks to selectively retrieve past representations, naturally mitigating dilution and hidden-state growth.
🔹 Introduces Block AttnRes, partitioning layers into compressed blocks to make cross-layer attention practical at scale.
🔹 Serves as an efficient drop-in replacement, demonstrating a 1.25x compute advantage with negligible (<2%) inference latency overhead.
🔹 Validated on the Kimi Linear architecture (48B total, 3B activated parameters), delivering consistent downstream performance gains.

🔗Full report:
github.com/MoonshotAI/Att… Scaling law experiments reveal a consistent 1.25× compute advantage across varying model sizes.

Meet Kimi Agentic Slides!
Now with Nano Banana Pro 🍌

🎁 Thanksgiving Gift: 48H FREE & UNLIMITED ACCESS

🔸 Agentic search (Kimi K2)
🔸 Files → Slides (PDFs, images, docs+)
🔸 Fully editable + PPTX export
🔸 Designer-level visuals (infographics, illustrations)

Try now: kimi.com/slides Here's a quick guide. 👇

🚀 Hello, Kimi K2! Open-Source Agentic Model!
🔹 1T total / 32B active MoE model
🔹 SOTA on SWE Bench Verified, Tau2 & AceBench among open models
🔹Strong in coding and agentic tasks
🐤 Multimodal & thought-mode not supported for now

With Kimi K2, advanced agentic intelligence is more open and accessible than ever. We can't wait to see what you build!

🔌 API is here: platform.moonshot.ai
- $0.15 / million input tokens (cache hit)
- $0.60 / million input tokens (cache miss)
- $2.50 / million output tokens

🔗 Tech blog: moonshotai.github.io/Kimi-K2/
🔗 Weights & code: huggingface.co/moonshotai
🔗 Github: github.com/MoonshotAI/Kim…
Try it now at Kimi.ai or via API! Here are some vibe tests we ran:

1. Interactive 3D Mountain Scene

Meet Kimi-Researcher - an autonomous agent that excels at multi-turn search and reasoning. Powered by k 1.5 and trained with end-to-end agentic RL.

Achieved 26.9% pass@1 on Humanity's Last Exam, 69% pass@1 on xbench.

🔗 Tech blog： moonshotai.github.io/Kimi-Researche… Benchmarks aside, It thinks:
→ 23 reasoning steps per task (avg.)
→ 200+ URLs explored
→ Multi-turn tool use of search, browser, and code
→ Inline citations

Beta access is rolling out at kimi.com — get on the waitlist 👉 [docs.google.com/forms/d/e/1FAI…]