AI Coding Live News

Kimi launches 3D Make: K3.1 Pro drives Blender, CAD tools and Unreal, Unity and Godot to build models, scenes and games

Moonshot AI's official Kimi account announced 3D Make at 03:14 UTC on Oct 30, saying Kimi connects to tools such as Blender and CAD software to create models, assemble scenes and develop games, available now on kimi.ai and Kimi Work. The companion 3D guide says K3.1 Pro was specifically trained to drive 3D software through Python scripts, so specialized tools without MCP support can join the workflow, while meshes such as people and animals are handed to diffusion services like Tripo. Plugins that need locally installed software work only in Kimi Work.

Kimi launches 3D Make: K3.1 Pro drives Blender, CAD tools and Unreal, Unity and Godot to build models, scenes and games

Key Takeaways

  • Availability: 3D Make is live on kimi.ai and Kimi Work; plugins that need locally installed software are Kimi Work only
  • Two modeling routes: parametric models (furniture, mechanical parts, buildings) via Python scripts written by K3.1 Pro, and meshes via services such as Tripo, Meshy and Hyper3D
  • Engines: Kimi says it is adapted to Unreal Engine, Unity and Godot to import models, assemble scenes and build gameplay step by step
  • Showcase: the celestial palace in the K3.1 Pro launch video was built in Unreal Engine 5.8 from source models totaling 36 million triangles, rendered with Nanite and Lumen
  • Benchmarks: no 3D benchmarks were published; the guide admits some tasks need several rounds, and rigging and complex materials remain weak spots
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Kimi apologizes for K3.1 Pro plan rate limits and wasted quota, gives every subscriber a one-time 25% monthly quota reset and trims subagent calls and output length

At 20:14 UTC on 2026-10-25, Moonshot AI's official account @Kimi_Moonshot (post) acknowledged rate limits and unnecessary quota consumption on the K3.1 Pro subscription plan, saying "these were our issues, and we should have fixed them sooner." Every subscriber on every plan gets a one-time usage reset that restores 25% of their monthly quota (usage below 25% resets to zero), equal to about one week of usage; usage bars update by end of day PST. Kimi also adjusted the plan's parameters and is cutting unnecessary subagent calls and output length so quota lasts longer.

Key Takeaways

  • Compensation: a one-time 25% monthly quota restore, about 1 week of usage (official post)
  • Users below 25% usage are reset to zero; applies to every subscription plan
  • Timing: usage bars update by end of day PST on Oct 25 (about 15:00 SGT on Oct 26)
  • Fix direction: fewer unnecessary subagent calls, shorter outputs and adjusted plan parameters
  • Context: K3.1 Pro launched Oct 23 with API pricing of $2/$10 per million tokens (vendor figures)
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Kimi K3 Hits 842 tok/s on NVIDIA GB300 NVL72: NVIDIA and vLLM Unveil 12,000-Line CuTe DSL Decode Megakernel with 1.8x Higher AgentX Interactivity

vLLM and NVIDIA unveiled a unified CuTe DSL decode megakernel (~12,000 LoC authored by NVIDIA CentML's Benjamin Chislett) for Moonshot AI's frontier Kimi K3 model on NVIDIA GB300 NVL72. By fusing attention, MoE, and cross-GPU communication, the optimization cuts per-layer latency from 130 µs (23 kernels) to 69 µs (13 kernels), delivering 842 tokens/s at batch=1 with DSpark speculative decoding (1.73x faster than stock vLLM) and up to 1.8x higher P90 per-user interactivity (403.2–423 tok/s/user) on SemiAnalysis AgentX, with DeepSeek-V4.1-Flash (PR #61868) and GLM-5.3 support coming next.

Kimi K3 Hits 842 tok/s on NVIDIA GB300 NVL72: NVIDIA and vLLM Unveil 12,000-Line CuTe DSL Decode Megakernel with 1.8x Higher AgentX Interactivity

Key Takeaways

  • NVIDIA and vLLM introduce a 12,000-line CuTe DSL decode megakernel for the 2.8T-parameter Kimi K3, reducing per-layer execution from 23 kernels (130 µs) to 13 kernels (69 µs)
  • On 16x NVIDIA GB300 NVL72 GPUs, batch-1 decode hits 842 tok/s with DSpark speculative decoding (1.73x faster) and 256.4 tok/s without speculation (1.88x faster)
  • Delivers up to 1.8x higher P90 interactivity (403.2-423 tok/s/user) on SemiAnalysis AgentX, with DeepSeek-V4.1-Flash (vLLM PR #61868) and GLM-5.3 megakernels following next
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Moonshot AI Valuation Surpasses B Driven by Global Kimi K3 Long-Context Success

Moonshot AI valuation crossed billion as its flagship Kimi K3 reasoning model captured global developer momentum. Sovereign wealth funds and global venture firms joined the round, solidifying Moonshot as Asia most valuable independent AI frontier lab.

Key Takeaways

  • Kimi K3 marks substantial breakthroughs in mathematical rigor, code synthesis, and long reasoning
  • B+ valuation propels Moonshot AI into the elite league of global frontier AI entities
  • Rapid surge in international enterprise developer adoption for long-horizon agent workflows
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Moonshot AI Kimi k1.5 launches hybrid code retrieval API cutting semantic search latency across 10M-line codebases to 80ms

Moonshot AI released a specialized Hybrid Code Search API powered by Kimi k1.5. Combining dense vector semantic embeddings with sparse AST inverted indexes, it resolves cross-file call hierarchies across 10-million-line monolithic codebases with search latency under 80ms.

Key Takeaways

  • Combines dense vector embeddings with AST syntax indexes to disambiguate overloaded symbols.
  • Delivers sub-80ms semantic retrieval across code repositories exceeding 10 million lines.
  • Exposes standard REST and gRPC endpoints for easy integration with enterprise code review tools.
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