Moonshot AI · Release tracker
Kimi K3 open weights
Moonshot AI ran two launches for one model. Kimi K3 went live on July 16, 2026 through the Kimi app, Kimi Work, Kimi Code and the API — but the weights, the part that makes “open-weight” mean anything, are promised separately for July 27, 2026. As of today they have not shipped and the license has not been named.
Status as of 2026-07-21. This page is checked on every radar pass and will be updated the day the weights land — or the day the date passes without them.
Current status
- Model live
- Yes — since July 16, 2026
- Weights downloadable
- No
- Promised date
- July 27, 2026
Artificial Analysis currently classifies K3 as proprietary, on the straightforward grounds that the weights were not public when they benchmarked it. Moonshot describes it as an open 3-trillion-parameter-class model. Both are accurate descriptions of different things — an intention and a state — and the distinction matters if you are planning around it.
What is confirmed
Confirmed- Released
- July 16, 2026, via API and Moonshot's own apps
- Total parameters
- 2.8 trillion
- Context window
- 1M tokens
- API price
- $3.00 in / $15.00 out per 1M
- Modality
- Native multimodal input (text and images); text-only output
- Reasoning
- Always-on thinking mode — it cannot be disabled
- Intelligence Index
- 57 — #4 of 186 models tracked by Artificial Analysis
- Where to use it today
- Moonshot's first-party API, and OpenRouter
What is only promised
UnconfirmedThe July 27, 2026 weight release itself.
It is a stated plan from Moonshot, not a shipped artifact. There is no repository to watch, no gated form to join, and no staged partial release.
The license.
Community write-ups have circulated “Modified MIT”, but Moonshot has not published license text, and the most careful summaries say license is to be determined with the weight release. A modified MIT is not MIT — the modifications are the whole story, and there is nothing to read yet.
Architecture details.
Kimi Delta Attention, Attention Residuals and a Stable LatentMoE routing 896 experts at roughly 50B activated parameters per token have been described in community analysis. Expect the authoritative version in the model card, not before.
Quantization format.
MXFP4 weights with MXFP8 activations, quantization-aware from the fine-tuning stage, is the reported plan. If it holds it is the difference between 1.4 TB and something far worse.
What “you can self-host it” actually costs
This is the part that gets skipped. Open weights on a 2.8 trillion parameter model do not mean you can run it — they mean a well-capitalised infrastructure team can run it. At MXFP4 the weights alone occupy roughly 1.4 TB. A practical serving cluster starts around eight nodes of 8×80GB GPUs, about 5.12 TB of aggregate memory once you account for activations, KV cache across a 1M-token context, and routing overhead on 896 experts.
You also need an inference stack that understands mixture-of-experts scheduling — vLLM, TensorRT-LLM or SGLang — rather than whatever you use for a 70B dense model. None of this fits on a workstation, a single H100 box, or a consumer GPU, and any page telling you to “run Kimi K3 locally” on desktop hardware is describing something that will not happen at full precision.
So who is the weight release actually for?
Three groups. Inference providers, who will host it and compete on price against Moonshot's own $3 / $15 rate. Enterprises with a hard data-residency requirement, for whom the cluster cost is cheaper than the compliance problem. And researchers, who will distil and quantise it down into things that do fit on smaller hardware — which is historically where most of the downstream value of an open-weight release ends up. For everyone else, the practical consequence of July 27 is that the API price falls.
Why the date is under pressure
Three days after K3 shipped, Alibaba previewed Qwen3.8-Max — 2.4 trillion parameters, also promising open weights, also without a date. Reporting has read the timing as an attempt to blunt K3's momentum, and it puts Moonshot in an awkward spot: it is currently the lab charging API-only rates for a model it calls open, while its closest competitor markets openness as the differentiator.
That is a reason to expect Moonshot to hit the date rather than slip it. It is not evidence that they will. Weight releases slip routinely, usually for safety review or license drafting rather than engineering, and neither of those produces a public warning first.
What we will change here, and when
- If the weights ship on July 27, 2026: this page gets the repository link, the actual license text, the model card's activated-parameter count, and the first third-party hosted prices as they appear.
- If the date passes quietly: we say so, with the date we checked. A promised release that has slipped is a fact worth publishing, and it is the one thing the pages racing to rank on this keyword will not go back and do.
- Either way: the pricing side moves to Kimi K3 pricing, which tracks the API rate and the cost-per-task numbers.
Sources
- OpenRouter — Kimi K3 — retrieved 2026-07-21
- Artificial Analysis — Kimi K3 achieves #3 in the Intelligence Index — retrieved 2026-07-21
- Artificial Analysis — Kimi K3 model page (live index and price) — retrieved 2026-07-21
- The Decoder — Alibaba's Qwen takes on Kimi K3 with open-weight Qwen 3.8 — retrieved 2026-07-21
- Hugging Face community post — Kimi K3 architecture, MXFP4 quantization and weight-release notes — retrieved 2026-07-21
Figures on this page last checked against these sources on 2026-07-21. Vendors change pricing and specs without notice — if a number here disagrees with the vendor's own page, trust the vendor.