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Kimi K3 Launches on Modal, Baseten, and AMD Cloud Platforms With 2.8 Trillion Parameters

aiai-infrastructureai-inference-platformsai-modelingai-open-models 61 posts · 35 accounts

Moonshot AI’s Kimi K3, a 2.8 trillion parameter model, is now available on inference platforms from Modal, Baseten, DigitalOcean, and AMD through a partnership with vLLM. The integration makes the model accessible as a scalable production API and on AMD Instinct GPUs without requiring infrastructure management from the user.

The rollout expands commercial access for the model following its July 27 launch. Separately, a 1-bit quantized version has been compressed to run on consumer MacBook Pro laptops, according to developer tests, providing a local deployment path outside the cloud infrastructure ecosystem.

From the sources (25 posts)

@mervenoyann

Kimi K3 in @huggingface Inference Providers is live via @togethercompute $3/M input tokens, $15/M output tokens with 54 TPS chef's kiss

@arena

In Frontend Code Arena, Kimi K3 (Max) by @Kimi_Moonshot is ranked #1 among open and #1 overall! It’s the #1 open-weight model in all Domains: Brand & Marketing, Reference-Based Design, Data & Analytics, Consumer Product, Gaming, Simulation

@mtslive

SITUATION EXPLAINED: Kimi K3's full model weights are finally out. • Moonshot released Kimi K3's weights and full technical report on July 27, about 11 days after its initial launch • 2.8 trillion parameters total, but only about 104 billi

@rohanpaul_ai

Kimi K3 just released their technical paper. one of the most detailed and exhaustive one. A million-token context window does not create long-horizon agency if the training system cannot preserve a task across thousands of tool calls. K

@digg

Moonshot AI released Kimi K3's weights. Most users can use them for free, but a company selling K3 through an API needs a deal with @Kimi_Moonshot if it and its affiliates exceed $20M over 12 months. Products above 100M users or $20M month

@eliebakouch

will do a full deep dive on the K3 tech report later (i'm eumaxxing currently 🌴). did a first pass and it seems like an amazing tech report, laying out the blueprint of what a stable recipe at 3T scale MoE looks like. nice thread by @suchen

@tri_dao

RT @togethercompute: Kimi K3 is now live on Together AI. We’re proud to be a Day 0 launch partner for @Kimi_Moonshot’s open frontier mode…

@artificialanlys

Kimi K3 weights have been released! Kimi K3 is now the leading open weights model at 57 in the Artificial Analysis Intelligence Index Moonshot has released the weights of their 2.6T parameter model under their 'Kimi K3 License' which we ha

@jaminball

Kimi K3 weights are out, and so is the pricing from 3rd parties to serve the model. Pricing from both Baseten and Fireworks is $3 / 1m input tokens, and $15 / 1m output tokens. This is $5.40 blended. The pricing is the same that Kimi of

@cursor_ai

Kimi K3 is now in Cursor! It scores close to the frontier on CursorBench. It's available on US-based inference thanks to our partners Fireworks, Together, and Baseten. Zero Data Retention is also supported.

@wesroth

Moonshot AI has released the full Kimi K3 model weights and technical report. This is not a smaller model created specifically for open release. Kimi K3 contains 2.8 trillion total parameters, activates 104 billion parameters per token, s

@jesseproudman

RT @AskVenice: Kimi K3 by @Kimi_Moonshot is now available privately on Venice. Frontier-level capabilities, without the surveillance. http…

@togethercompute

Another Day 0 partnership. Happy to be part of getting Kimi K3 into Cursor from launch.

@vllm_project

Shoutout to @skypilot_org: awesome work shipping a full day-0 serving stack for Kimi K3 with vLLM 🙌

@art_zucker

RT @Kimi_Moonshot: Releasing the model weights and technical report of Kimi K3. Kimi K3 is our most capable model: a 2.8T MoE model with n…

@_akhaliq

RT @jeffboudier: Kimi K3 is available day-0 for on-premise deployment on @Dell Host the 2.8T frontier open intelligence in your own serve…

@baseten

RT @feilsystem: We shipped the worlds fastest tokenizer for KimiK3. Basetenkenizer now available on day 0 on Baseten and on pypi. https://t…

@fs0c131y

RT @Kimi_Moonshot: Releasing the model weights and technical report of Kimi K3. Kimi K3 is our most capable model: a 2.8T MoE model with n…

@hackingdave

RT @Kimi_Moonshot: Releasing the model weights and technical report of Kimi K3. Kimi K3 is our most capable model: a 2.8T MoE model with n…

@juliusai

Kimi K3 is now live in Julius. K3 is the first open-weight model we've added to the platform. We've found it's especially good with handling large document sets, conducting deep research, and turning results into a report, dashboard, or Po

@hackingdave

RT @cursor_ai: Kimi K3 is now in Cursor! It scores close to the frontier on CursorBench. It's available on US-based inference thanks to ou…

@rnaudbertrand

RT @Kimi_Moonshot: Releasing the model weights and technical report of Kimi K3. Kimi K3 is our most capable model: a 2.8T MoE model with n…

@_akhaliq

RT @ClementDelangue: Kimi K3 has been released on HF and already top 1 trending with 4,000+ likes in 30 mins. Fastest release growth ever s…

@poezhao0605

Kimi K3's weights are now open. At 2.8tn parameters, Beijing-based Moonshot's flagship is the largest model any lab has released as open weights. Loading them alone takes close to 3TB of memory. Its own deployment guidance calls for a super

@artificialanlys

Open weights intelligence advanced today with the release of Kimi K3. The gap between the leading proprietary and open weights models is now just 4 points on the Artificial Analysis Intelligence Index, the smallest it has been since the GLM

Preview built on a synthetic news corpus (16 weeks, Apr–Jul 2026). Impact calls are model reads, not price data.

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