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Moonshot AI releases Kimi K3.1 Pro open weights on Hugging Face

This story is from 2026-11-04. It is preserved in the archive; the latest stories are on the live feed.

Moonshot AI published the weights of its 2.8T-parameter Kimi K3.1 Pro multimodal model on Hugging Face on November 4, 2026, enabling independent deployment via vLLM and SGLang, including day-zero support on Alibaba Cloud's Lingjun Zhenwu M890 SuperPoD.

Read the full story at DEV Community — AI ↗

Timeline · 10 reports

  1. 2026-11-06 17:02 · r/machinelearningnews
    Kimi K3.1 Pro (2.8T/104B) vs DeepSeek 1017 (552B/16B) vs GLM-5.3 & Qwen3.8-27B on AA Index v5: why a 16B-active model beats 104B on DeepSWE at 6.1x lower cost
  2. 2026-11-06 04:35 · DEV Community — AI
    Kimi K3.1 Pro Open Weights: A Developer's Checklist Before You Self-Host a 2.8T Model
  3. 2026-11-05 19:28 · DEV Community — AI
    Moonshot Just Put a 2.8-Trillion-Parameter Model on Hugging Face — Kimi K3.1 Pro's Open Weights Are Real, and the Fine Print Matters
  4. 2026-11-05 16:51 · Matthew Berman
    Kimi K3.1 weights OUT, open source computer use, SOTA image model, science model, Pika H3: AI NEWS
  5. 2026-11-05 14:19 · DEV Community — Machine Learning
    Kimi K3.1 Pro Weights Are Out: $20M License Cliff, ~1.56 TB Reality, and Hosted vs Self-Host
  6. 2026-11-05 07:09 · Pandaily
    Alibaba Cloud Lingjun Zhenwu M890 SuperPoD Adds Day-Zero Support for Kimi K3.1 Pro
  7. 2026-11-05 06:55 · DEV Community — AI
    LongCat-2.5 vs Kimi K3.1 Pro vs DeepSeek: Which New AI Wins?
  8. 2026-11-05 06:01 · TechNode
    Moonshot AI releases Kimi K3.1 Pro model weights
  9. 2026-11-05 02:23 · Pandaily
    Huawei Ascend Adds Day-Zero Support for Kimi K3.1 Pro Across Atlas A3 and Ascend 950 SuperPoDs
  10. 2026-11-04 20:54 · DEV Community — AI
    Moonshot AI's Kimi K3.1 Pro Weights Are Now Open — Explained Honestly

More stories

  1. Moonshot Just Put a 2.8-Trillion-Parameter Model on Hugging Face — Kimi K3.1 Pro's Open Weights Are Real, and the Fine Print Matters — DEV Community — AI
  2. Blind listening test: 62 people compared 8-bar piano loops written by 8 LLMs (Gemini, Claude, Qwen, Kimi, Grok, GPT-6.1, DeepSeek, Llama). Interim results — r/artificial
  3. MaxxBench (RLVR'd LLMs fail easy variants of DeepSWE tasks + obsess over "hidden tests" and pleasing the grader) — r/mlscaling
  4. Open models vs Claude: Kimi K3, GLM 5.3 and DeepSeek V4 Pro against Sonnet 5.5 and Opus 5.5 — DEV Community — AI
  5. Config-Verified Comparison Maps How 10 Open MoE Models Route Tokens — MarkTechPost
  6. Free Chinese AI Models Show Hacking Skills Close to OpenAI's Advanced Cyber Model — Wired AI
  7. AI Inference Benchmark: Keln vs Fireworks, Together AI, Baseten, Modal, DeepInfra & Z.ai — DEV Community — AI
  8. Lessons from putting 14 coding-agent CLIs behind one interface — DEV Community — AI

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