{"schema_version":"onlylabs.public_analysis.v1","url":"https://onlylabs.fyi/analysis/moonshot","json_url":"https://onlylabs.fyi/analysis/moonshot/analysis.json","evidence_json_url":"https://onlylabs.fyi/analysis/moonshot/evidence.json","generated_at":"2026-06-11T18:06:21.948Z","analysis":{"org_slug":"moonshot","url":"https://onlylabs.fyi/analysis/moonshot","json_url":"https://onlylabs.fyi/analysis/moonshot/analysis.json","evidence_json_url":"https://onlylabs.fyi/analysis/moonshot/evidence.json","dossier_url":"https://onlylabs.fyi/labs/moonshot","org":{"slug":"moonshot","name":"Moonshot AI (Kimi)","category":"frontier-lab","category_label":"Frontier lab","homepage_url":"https://www.moonshot.ai/"},"title":"Moonshot AI (Kimi) analysis","summary":"Moonshot AI (Kimi) is shipping open-weight, trillion-parameter mixture-of-experts frontier models at a fast iteration cadence — the Kimi-K2 line is its flagship, now through K2.5 and K2.6 plus a dedicated K2-Thinking variant. Alongside the weights it is building a full agentic-coding surface (the kimi-cli / kimi-code tools) and publishing efficiency-oriented architecture research (linear attention, attention…","markdown":"## Thesis\n\nMoonshot AI (Kimi) is shipping open-weight, trillion-parameter mixture-of-experts frontier models at a fast iteration cadence — the [Kimi-K2 line](https://github.com/MoonshotAI/Kimi-K2) is its flagship, now through K2.5 and K2.6 plus a dedicated K2-Thinking variant. Alongside the weights it is building a full agentic-coding surface (the `kimi-cli` / `kimi-code` tools) and publishing efficiency-oriented architecture research (linear attention, attention residuals, block attention). It is a Beijing-based lab pairing aggressive open releases with developer tooling.\n\n## Shipping\n\n- **Kimi-K2 family (≈1T-param MoE).** The most-downloaded model is [`moonshotai/Kimi-K2.6`](https://huggingface.co/moonshotai/Kimi-K2.6) at **3,139,192** 30-day downloads (1,417 likes), followed by [`Kimi-K2-Instruct-0905`](https://huggingface.co/moonshotai/Kimi-K2-Instruct-0905) at **2,734,600** and [`Kimi-K2.5`](https://huggingface.co/moonshotai/Kimi-K2.5) at **1,682,758** (the single most-liked card at 2,813 likes). The original [`Kimi-K2-Instruct`](https://huggingface.co/moonshotai/Kimi-K2-Instruct) adds **629,908** downloads, a [`Kimi-K2-Base`](https://huggingface.co/moonshotai/Kimi-K2-Base) (42,722) is published, and a reasoning-focused [`Kimi-K2-Thinking`](https://huggingface.co/moonshotai/Kimi-K2-Thinking) has **163,935** downloads (1,699 likes). The [Kimi-K2 GitHub repo](https://github.com/MoonshotAI/Kimi-K2) is the lab's top repo at **10,839 stars**.\n- **Multimodal (Kimi-VL).** [`Kimi-VL-A3B-Instruct`](https://huggingface.co/moonshotai/Kimi-VL-A3B-Instruct) (297,546 downloads) and [`Kimi-VL-A3B-Thinking`](https://huggingface.co/moonshotai/Kimi-VL-A3B-Thinking) (134,822), with a [`Kimi-VL-A3B-Thinking-2506`](https://huggingface.co/moonshotai/Kimi-VL-A3B-Thinking-2506) refresh and the [`MoonViT-SO-400M`](https://huggingface.co/moonshotai/MoonViT-SO-400M) vision encoder; the [Kimi-VL repo](https://github.com/MoonshotAI/Kimi-VL) has 1,198 stars.\n- **Efficiency / architecture lines.** [`Moonlight-16B-A3B-Instruct`](https://huggingface.co/moonshotai/Moonlight-16B-A3B-Instruct) (101,711 downloads) and [`Kimi-Linear-48B-A3B-Instruct`](https://huggingface.co/moonshotai/Kimi-Linear-48B-A3B-Instruct) (61,936) — sparse A3B (≈3B active) designs.\n- **Audio & coding.** [`Kimi-Audio-7B-Instruct`](https://huggingface.co/moonshotai/Kimi-Audio-7B-Instruct) (89,403 downloads; [Kimi-Audio repo](https://github.com/MoonshotAI/Kimi-Audio) at 4,645 stars) and the SWE-oriented [`Kimi-Dev-72B`](https://huggingface.co/moonshotai/Kimi-Dev-72B).\n- **Developer tooling, actively versioned.** [`kimi-cli`](https://github.com/MoonshotAI/kimi-cli) (8,916 stars) is shipping rapidly — releases [1.44.0](https://github.com/MoonshotAI/kimi-cli/releases/tag/1.44.0) through [1.47.0](https://github.com/MoonshotAI/kimi-cli/releases/tag/1.47.0) — alongside the [`kimi-code`](https://github.com/MoonshotAI/kimi-code) package (2,041 stars), versioned [0.8.0 → 0.11.0](https://github.com/MoonshotAI/kimi-code/releases/tag/%40moonshot-ai/kimi-code%400.11.0), and a [`walle` v0.1.10](https://github.com/MoonshotAI/walle/releases/tag/v0.1.10) release.\n\n## Research themes\n\nNo first-party writing captured yet. The themes are inferable only from open-source repos: efficiency-oriented attention/architecture research — [Attention-Residuals](https://github.com/MoonshotAI/Attention-Residuals) (3,299 stars), [MoBA](https://github.com/MoonshotAI/MoBA) (block attention, 2,123 stars), [Kimi-Linear](https://github.com/MoonshotAI/Kimi-Linear) (linear attention, 1,399 stars), and the [Kimi-k1.5](https://github.com/MoonshotAI/Kimi-k1.5) reasoning work (3,472 stars).\n\n## Hiring & scaling\n\nAll seven open roles are based in Beijing (北京), signaling a single-hub build-out. The mix is research-and-platform heavy: an algorithm researcher (算法研究员) and algorithm engineer (算法工程师) point to continued model R&D, while backend (后端开发工程师), frontend (前端开发工程师), product manager (产品经理), and designer (设计师) roles indicate investment in a productized, user-facing surface (consistent with the Kimi app and CLI tooling). One operations specialist (运营专员) role rounds out a go-to-market push rather than a pure research lab posture.\n\n## Traction highlights\n\n- **Hacker News:** the lab's architecture research drew the most attention — [Attention-Residuals](https://github.com/MoonshotAI/Attention-Residuals) at **241 points / 34 comments** and [Kimi-Linear](https://github.com/MoonshotAI/Kimi-Linear) at **217 points / 47 comments**; smaller threads appeared for [kimi-cli](https://github.com/MoonshotAI/kimi-cli) (5 pts), [checkpoint-engine](https://github.com/MoonshotAI/checkpoint-engine) (2 pts), and [FlashKDA](https://github.com/MoonshotAI/FlashKDA) (2 pts).\n- **Most-starred repos:** [Kimi-K2](https://github.com/MoonshotAI/Kimi-K2) (10,839), [kimi-cli](https://github.com/MoonshotAI/kimi-cli) (8,916), [Kimi-Audio](https://github.com/MoonshotAI/Kimi-Audio) (4,645).\n- **Most-downloaded models (30-day):** [Kimi-K2.6](https://huggingface.co/moonshotai/Kimi-K2.6) (3.14M), [Kimi-K2-Instruct-0905](https://huggingface.co/moonshotai/Kimi-K2-Instruct-0905) (2.73M), [Kimi-K2.5](https://huggingface.co/moonshotai/Kimi-K2.5) (1.68M).\n\n## Sources\n\n- https://www.moonshot.ai/\n- https://huggingface.co/moonshotai/Kimi-K2.6\n- https://huggingface.co/moonshotai/Kimi-K2-Instruct-0905\n- https://huggingface.co/moonshotai/Kimi-K2.5\n- https://huggingface.co/moonshotai/Kimi-K2-Instruct\n- https://huggingface.co/moonshotai/Kimi-K2-Thinking\n- https://huggingface.co/moonshotai/Kimi-VL-A3B-Instruct\n- https://huggingface.co/moonshotai/Kimi-Linear-48B-A3B-Instruct\n- https://huggingface.co/moonshotai/Kimi-Audio-7B-Instruct\n- https://huggingface.co/moonshotai/Moonlight-16B-A3B-Instruct\n- https://github.com/MoonshotAI/Kimi-K2\n- https://github.com/MoonshotAI/kimi-cli\n- https://github.com/MoonshotAI/kimi-code\n- https://github.com/MoonshotAI/Kimi-Audio\n- https://github.com/MoonshotAI/Attention-Residuals\n- https://github.com/MoonshotAI/Kimi-Linear\n- https://github.com/MoonshotAI/MoBA\n- https://github.com/MoonshotAI/Kimi-k1.5\n- https://github.com/MoonshotAI/Kimi-VL\n- https://github.com/MoonshotAI/walle/releases/tag/v0.1.10","generated_at":"2026-06-08T15:59:09.409+00:00","citations":[{"url":"https://github.com/MoonshotAI/Kimi-K2","path":null,"label":"MoonshotAI/Kimi-K2","type":"external"},{"url":"https://huggingface.co/moonshotai/Kimi-K2.6","path":null,"label":"moonshotai/Kimi-K2.6","type":"external"},{"url":"https://huggingface.co/moonshotai/Kimi-K2-Instruct-0905","path":null,"label":"moonshotai/Kimi-K2-Instruct-0905","type":"external"},{"url":"https://huggingface.co/moonshotai/Kimi-K2.5","path":null,"label":"moonshotai/Kimi-K2.5","type":"external"},{"url":"https://huggingface.co/moonshotai/Kimi-K2-Instruct","path":null,"label":"moonshotai/Kimi-K2-Instruct","type":"external"},{"url":"https://huggingface.co/moonshotai/Kimi-K2-Base","path":null,"label":"moonshotai/Kimi-K2-Base","type":"external"},{"url":"https://huggingface.co/moonshotai/Kimi-K2-Thinking","path":null,"label":"moonshotai/Kimi-K2-Thinking","type":"external"},{"url":"https://huggingface.co/moonshotai/Kimi-VL-A3B-Instruct","path":null,"label":"moonshotai/Kimi-VL-A3B-Instruct","type":"external"},{"url":"https://huggingface.co/moonshotai/Kimi-VL-A3B-Thinking","path":null,"label":"moonshotai/Kimi-VL-A3B-Thinking","type":"external"},{"url":"https://huggingface.co/moonshotai/Kimi-VL-A3B-Thinking-2506","path":null,"label":"moonshotai/Kimi-VL-A3B-Thinking-2506","type":"external"},{"url":"https://huggingface.co/moonshotai/MoonViT-SO-400M","path":null,"label":"moonshotai/MoonViT-SO-400M","type":"external"},{"url":"https://github.com/MoonshotAI/Kimi-VL","path":null,"label":"MoonshotAI/Kimi-VL","type":"external"},{"url":"https://huggingface.co/moonshotai/Moonlight-16B-A3B-Instruct","path":null,"label":"moonshotai/Moonlight-16B-A3B-Instruct","type":"external"},{"url":"https://huggingface.co/moonshotai/Kimi-Linear-48B-A3B-Instruct","path":null,"label":"moonshotai/Kimi-Linear-48B-A3B-Instruct","type":"external"},{"url":"https://huggingface.co/moonshotai/Kimi-Audio-7B-Instruct","path":null,"label":"moonshotai/Kimi-Audio-7B-Instruct","type":"external"},{"url":"https://github.com/MoonshotAI/Kimi-Audio","path":null,"label":"MoonshotAI/Kimi-Audio","type":"external"},{"url":"https://huggingface.co/moonshotai/Kimi-Dev-72B","path":null,"label":"moonshotai/Kimi-Dev-72B","type":"external"},{"url":"https://github.com/MoonshotAI/kimi-cli","path":null,"label":"MoonshotAI/kimi-cli","type":"external"},{"url":"https://github.com/MoonshotAI/kimi-cli/releases/tag/1.44.0","path":null,"label":"MoonshotAI/kimi-cli","type":"external"},{"url":"https://github.com/MoonshotAI/kimi-cli/releases/tag/1.47.0","path":null,"label":"MoonshotAI/kimi-cli","type":"external"},{"url":"https://github.com/MoonshotAI/kimi-code","path":null,"label":"MoonshotAI/kimi-code","type":"external"},{"url":"https://github.com/MoonshotAI/kimi-code/releases/tag/%40moonshot-ai/kimi-code%400.11.0","path":null,"label":"MoonshotAI/kimi-code","type":"external"},{"url":"https://github.com/MoonshotAI/walle/releases/tag/v0.1.10","path":null,"label":"MoonshotAI/walle","type":"external"},{"url":"https://github.com/MoonshotAI/Attention-Residuals","path":null,"label":"MoonshotAI/Attention-Residuals","type":"external"},{"url":"https://github.com/MoonshotAI/MoBA","path":null,"label":"MoonshotAI/MoBA","type":"external"},{"url":"https://github.com/MoonshotAI/Kimi-Linear","path":null,"label":"MoonshotAI/Kimi-Linear","type":"external"},{"url":"https://github.com/MoonshotAI/Kimi-k1.5","path":null,"label":"MoonshotAI/Kimi-k1.5","type":"external"},{"url":"https://github.com/MoonshotAI/checkpoint-engine","path":null,"label":"MoonshotAI/checkpoint-engine","type":"external"},{"url":"https://github.com/MoonshotAI/FlashKDA","path":null,"label":"MoonshotAI/FlashKDA","type":"external"},{"url":"https://www.moonshot.ai/","path":null,"label":"moonshot.ai","type":"external"}],"provenance":{"provider":null,"model":null,"workflow":"synthesize-analyses","agent":null},"evidence":{"total":null,"pages":null,"events":null,"web":null,"signal_desks":null,"data_radar_lanes":null,"data_radar_matches":null}},"signal_counts":{"total":96,"model_released":17,"release":34,"repo_new":38,"repo_forked":0,"post_published":0,"job_opened":7}}