Moonshot LLM Models
Kimi is a large language model developed by Moonshot AI, designed for reasoning, coding, and long-context understanding. It performs well in complex tasks such as code generation, analysis, and intelligent assistants. With strong performance and efficient architecture, Kimi is suitable for enterprise AI applications and developer use cases. Its balance of capability and cost makes it an increasingly popular choice in the LLM ecosystem.
Jelajahi Model Terkemuka
Atlas Cloud menyediakan model kreatif terdepan dan terbaru di industri untuk Anda.
Apa Yang Membuat Moonshot LLM Models Menonjol
Atlas Cloud menyediakan model kreatif terdepan di industri yang terbaru untuk Anda.
Penalaran Terdepan
Model yang dioptimalkan untuk penalaran mendalam, penyelesaian masalah yang kompleks, dan instruksi multi-langkah dalam tugas-tugas dunia nyata.
Penguasaan Konteks Panjang
Dukungan untuk input yang sangat panjang, memungkinkan riwayat obrolan yang kaya, dokumen besar, dan pemahaman kode multi-file.
Kekuatan Bilingual
Bahasa Mandarin tingkat penutur asli dan kemampuan bahasa Inggris yang kuat untuk pencarian, analisis, dan pembuatan konten lintas bahasa.
Ekosistem Pengembang
API, SDK, dan alat yang mempermudah pembangunan, integrasi, dan iterasi pada produk yang didukung Moonshot.
Keandalan Tingkat Perusahaan
Fitur SLA, pemantauan, dan tata kelola yang dirancang untuk tim yang meluncurkan aplikasi AI mission-critical.
Performa Efisien Biaya
Arsitektur dan serving stack yang dioptimalkan menyeimbangkan kualitas, kecepatan, dan biaya tingkat token untuk beban kerja produksi.
Kecepatan puncak
Biaya terendah
| Model | Deskripsi |
|---|---|
| Kimi K2.5 | Kimi K2.5 adalah LLM andalan multimodal, mengintegrasikan pra-pelatihan berkelanjutan pada 15T token visual dan teks campuran dengan pemrosesan konteks 262,14K; dengan keunggulan Visual Agentic Intelligence, model ini berfungsi sebagai garda depan untuk penalaran lintas-modal yang kompleks dan otomatisasi tugas visual yang canggih. |
| Kimi-K2-Thinking | Kimi-K2-Thinking adalah LLM khusus penalaran tinggi, yang mengintegrasikan arsitektur rantai pemikiran (chain-of-thought) yang mendalam dengan kemampuan analitis yang kuat; dengan kedalaman kognitif yang melampaui batas tingkat refleks, model ini berfungsi sebagai mesin untuk inferensi logis yang kompleks dan alur kerja pemecahan masalah yang rumit. |
| Kimi-K2-Instruct-0905 | Kimi-K2-Instruct-0905 adalah LLM agentic yang dioptimalkan, mengintegrasikan kemampuan pengkodean yang ditingkatkan dengan dukungan konteks 262,14K yang luas; dengan eksekusi presisi tinggi, model ini berfungsi sebagai katalisator untuk manajemen basis kode skala besar dan operasi agentic canggih yang berpusat pada pengembang. |
| Kimi-K2-Instruct | Kimi-K2-Instruct adalah LLM tujuan umum yang efisien, mengintegrasikan mekanisme respons tingkat refleks dengan kemampuan pemrosesan konteks 131,07K; dengan kerangka kerja pasca-pelatihan yang dipoles, model ini berfungsi sebagai antarmuka utama untuk obrolan drop-in dan pengalaman agen yang tangkas dan langsung. |
Fitur baru Moonshot LLM Models + Showcase
Menggabungkan model canggih dengan platform berakselerasi GPU Atlas Cloud memberikan kecepatan, skalabilitas, dan kontrol kreatif tak tertandingi untuk pembuatan gambar dan video.
Eksekusi Tugas Swarm menggunakan Kimi K2.5
Kimi K2.5 menggantikan penalaran utas tunggal dengan mengoordinasikan hingga 100 sub-agen untuk bekerja pada tujuan yang kompleks secara paralel. Dengan memecah proyek besar menjadi langkah-langkah yang dapat dikelola, pengguna dapat menyelesaikan alur kerja multi-tahap 4,5 kali lebih cepat dibandingkan menggunakan model AI standar. Ini adalah solusi utama untuk mengotomatiskan manajemen proyek tingkat tinggi dan menjalankan instruksi profesional rantai panjang.
Analisis Video Langsung menggunakan Kimi K2.5
Kimi K2.5 mendukung input video dan gambar langsung untuk memahami gerakan, urutan logis, dan tata letak kompleks tanpa plugin eksternal apa pun. Dengan memberikan rekaman layar atau file desain kepada model, pengguna dapat langsung mengekstrak detail arsitektur dan data visual dengan akurasi tinggi. Ini adalah solusi utama untuk interpretasi video waktu nyata dan menjembatani kesenjangan antara aset visual dan logika teks.
Pembuatan Frontend Estetik menggunakan Kimi K2.5
Kimi K2.5 menggabungkan logika backend profesional dengan pandangan yang tajam terhadap desain dan gerakan 3D interaktif. Dengan mengunggah mockup UI atau klip demo, pengguna dapat menghasilkan kode fungsional untuk Three.js dan animasi kompleks yang tangguh serta memukau secara visual. Ini adalah solusi utama bagi pengembang yang membutuhkan kode yang tidak hanya berfungsi, tetapi juga mengikuti prinsip-prinsip desain kelas atas.
Yang Dapat Anda Lakukan dengan Moonshot LLM Models
Temukan kasus penggunaan praktis dan alur kerja yang dapat Anda bangun dengan keluarga model ini — dari pembuatan konten dan otomatisasi hingga aplikasi tingkat produksi.
Generasi Frontend Visual-to-Code dengan Kimi K2.5
Kimi K2.5 mengubah tangkapan layar desain statis atau video demo UI menjadi basis kode React atau Vue fungsional yang terintegrasi dengan animasi Three.js. Sempurna untuk pengembang kreatif dan pembuatan prototipe cepat, model ini mempertahankan pencahayaan dan gerakan yang kompleks—mendukung pembuatan instan halaman arahan 3D, dasbor data interaktif, dan situs mikro pemasaran yang apik.
Audit Dokumen Mendalam dengan Kimi K2.5 Context Engine
Kimi K2.5 memungkinkan profesional keuangan dan hukum untuk mengunggah ratusan halaman laporan yang berbeda untuk mengidentifikasi klausul yang bertentangan atau tren data tersembunyi dalam hitungan detik. Dengan mengajukan pertanyaan spesifik tentang faktor risiko atau angka keuangan, pengguna dapat menghasilkan tabel perbandingan terstruktur dengan kutipan langsung ke nomor halaman. Ini adalah solusi utama untuk uji tuntas (due diligence) yang mendalam dan audit arsip dokumen besar tanpa membaca manual.
Sintesis Logika Narasi Kompleks dengan Model Kimi K2.5
Kimi K2.5 Model memungkinkan penulis skenario dan desainer game untuk mengembangkan prompt karakter sederhana menjadi naskah episodik berdurasi penuh dengan konsistensi alur yang sempurna dan logika bercabang ganda. Ideal untuk pembangunan dunia yang imersif dan media yang berat pada narasi, model ini melacak alur cerita jangka panjang tanpa kontradiksi—mendukung pembuatan pohon dialog interaktif, papan cerita episodik, dan kitab pengetahuan (lore bibles) yang mendetail.
Perbandingan Model
Lihat bagaimana model dari berbagai penyedia dibandingkan — bandingkan performa, harga, dan keunggulan unik untuk membuat keputusan yang tepat.
| Model | Konteks | Output Maksimal | Masukan | Pemosisian |
|---|---|---|---|---|
| Kimi K2.5 | 262.14K | 262.14K | Text | LLM unggulan multimoda |
| Kimi-K2-Thinking | 262.14K | 262.14K | Text | LLM khusus dengan kemampuan penalaran tinggi |
| Kimi-K2-Instruct-0905 | 262.14K | 32.77K | Text | Output Maksimum |
| Kimi-K2-Instruct | 131.07K | 131.07K | Text | LLM serbaguna yang ramping |
| MiniMax M2.5 | 196.61K | 196.6K | Text | Pemrograman berbasis agen yang mutakhir |
| GLM-5 | 202.75K | 202.75K | Text | Model fondasi unggulan |
| DeepSeek V3.2 | 163.84K | 163.84K | Text | Unggulan Umum |
How to Use Moonshot LLM Models on Atlas Cloud
Get started in minutes — follow these simple steps to integrate and deploy models through Atlas Cloud’s platform.
Create an Atlas Cloud Account
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Mengapa Menggunakan Moonshot LLM Models di Atlas Cloud
Gabungkan model Moonshot LLM Models canggih dengan platform akselerasi GPU Atlas Cloud untuk performa, skalabilitas, dan pengalaman pengembangan yang tak tertandingi.
Performa & Fleksibilitas
Latensi Rendah:
Inferensi yang dioptimalkan GPU untuk respons real-time.
API Terpadu:
Satu integrasi untuk Moonshot LLM Models, GPT, Gemini, dan DeepSeek.
Harga Transparan:
Billing per token, mendukung mode Serverless.
Enterprise & Skala
Pengalaman Developer:
SDK, analitik data, alat fine-tuning, dan template tersedia lengkap.
Keandalan:
Ketersediaan 99.99%, kontrol izin RBAC, logging kepatuhan.
Keamanan & Kepatuhan:
Sertifikasi SOC 2 Type II, kepatuhan HIPAA, kedaulatan data AS.
Pertanyaan yang Sering Diajukan tentang Moonshot LLM Models
Kimi K2.5 mendukung jendela konteks 262,14K token, memungkinkan pengguna untuk mengunggah dan menganalisis kumpulan data besar, manual teknis bentuk panjang, atau seluruh basis kode dalam satu sesi.
Hal ini memungkinkan model untuk mengurai satu tujuan kompleks menjadi beberapa sub-tugas, mengorkestrasi hingga 100 agen otonom untuk bekerja secara paralel, yang menghasilkan eksekusi hingga 4,5x lebih cepat dibandingkan model agen tunggal.
Ya. Di luar gambar statis, Kimi K2.5 memiliki fitur visi multimodal native yang menganalisis aliran video langsung untuk mengidentifikasi pola gerakan, urutan logis, dan tata letak spasial dengan presisi tingkat frame.
Sangat mumpuni. Model ini mencetak skor 76,8% pada SWE-bench Verified, yang berarti dapat menerjemahkan tangkapan layar desain menjadi kode siap produksi yang terintegrasi dengan animasi Three.js yang kompleks dan tata letak responsif.
Anda dapat mengakses Kimi K2.5 melalui API kompatibel OpenAI yang dihosting di Atlas Cloud, memungkinkan penggantian "drop-in" yang mulus tanpa perlu menulis ulang logika aplikasi Anda saat ini.
Jelajahi Lebih Banyak Seri
Happy Horse 1.0
HappyHorse-1.0 is a unified multimodal AI video generation model that climbed to the top of the Artificial Analysis Video Arena blind-test leaderboard for both text-to-video and image-to-video generation. CNBC Alibaba Group confirmed ownership of HappyHorse, developed under its Alibaba Token Hub (ATH) business unit, where it leads benchmarks outperforming ByteDance's Seedance 2.0 and others. Caixin Global Led by Zhang Di — the former VP of Kuaishou who architected Kling AI — the 15-billion parameter model generates 1080p video with synchronized audio in a single pass using a unified transformer architecture that bypasses the multi-stage pipelines used by every major competitor.
Seedance 2.0 Models
Seedance 2.0（by Bytedance） is a multimodal video generation model that redefines "controllable creation," moving beyond the limitations of text or start/end frames. It supports quad-modal inputs—text, image, video, and audio—and introduces an industry-leading "Universal Reference" system. By precisely replicating the composition, camera movement, and character actions from reference assets, Seedance 2.0 solves critical issues with character consistency and physical coherence, empowering creators to act as true "directors" with deep control over their output.
GPT Image 2 Models
GPT Image 2 is a state-of-the-art multimodal foundation model engineered for exceptional text-to-image generation with unprecedented photorealism and creative versatility. Developed by OpenAI as the evolution of the DALL-E lineage, it transforms detailed natural language descriptions into hyper-realistic imagery at up to 4K resolution. With proprietary "Neural Rendering Engine" technology for precise visual control, GPT Image 2 delivers studio-quality results with accurate anatomy, lighting, and composition—making it the premier AI tool for professional creators, enterprises, and developers demanding production-ready visual assets.
Wan2.7 Models
Launching this March, Wan2.7 is the latest powerhouse in the Qwen ecosystem, delivering a massive upgrade in visual fidelity, audio synchronization, and motion consistency over version 2.6. This all-in-one AI video generator supports advanced features like first-and-last frame control, 3x3 grid synthesis, and instruction-based video editing. Outperforming competitors like Jimeng, Wan2.7 offers superior flexibility with support for real-person image inputs, up to five video references, and 1080P high-definition outputs spanning 2 to 15 seconds, making it the premier choice for professional digital storytelling and high-end content marketing.
Veo3.1 Models
Google DeepMind’s Veo 3.1 represents a paradigm shift in AI video generation, empowering creators with director-level narrative control and cinematic-grade audio quality that seamlessly integrates with its enhanced visual realism. By bridging the gap between imaginative concepts and photorealistic execution, this advanced model offers a transformative solution for a wide range of application scenarios, from professional filmmaking and high-end advertising to immersive digital content creation.
ERNIE Image Models
ERNIE-Image is an open-weight text-to-image model developed by the ERNIE-Image Team at Baidu, built on a single-stream Diffusion Transformer (DiT) with 8B parameters and paired with a lightweight Prompt Enhancer that rewrites short prompts into richer, more structured descriptions before passing them to the diffusion backbone. NYU Shanghai RITS Released on April 15, 2026 under the Apache 2.0 license, it transforms natural language descriptions into detailed imagery with particular strength in text rendering and structured layout generation. ERNIE-Image is designed not only for strong visual quality, but for controllability in practical generation scenarios where accurate content realization matters as much as aesthetics — making it well-suited for commercial posters, comics, multi-panel layouts, and other content creation tasks that require both visual quality and precise control.
GPT Image Models
The GPT Image Family is OpenAI's latest suite of multimodal image generation and editing models, built on the powerful GPT architecture. This family includes three tiers — GPT Image-1, GPT Image-1.5, and GPT Image-1 Mini — each available in both Text-to-Image and Image-to-Image variants. Combining GPT's world-class language understanding with DALL·E-class visual synthesis, these models deliver exceptional prompt adherence, photorealistic rendering, and creative versatility across illustration, photography, design, and visualization tasks. The series offers flexible pricing and quality tiers to match any workflow — from rapid prototyping and high-volume content production to professional-grade final deliverables. Whether you need ultra-fast iterations at minimal cost or maximum quality for brand campaigns, the GPT Image Family has a solution tailored to your needs.
Nano Banana2 Models
Nano Banana 2 (by Google), is a generative image model that perfectly balances lightning-fast rendering with exceptional visual quality. With an improved price-performance ratio, it achieves breakthrough micro-detail depiction, accurate native text rendering, and complex physical structure reconstruction. It serves as a highly efficient, commercial-grade visual production tool for developers, marketing teams, and content creators.
Seedream5.0 Models
Seedream 5.0, developed by ByteDance’s Jimeng AI, is a high-performance AI image generation model that integrates real-time search with intelligent reasoning. Purpose-built for time-sensitive content and complex visual logic, it excels at professional infographics, architectural design, and UI assistance. By blending live web insights with creative precision, Seedream 5.0 empowers commercial branding and marketing with a seamless, logic-driven workflow that turns sophisticated data into stunning, high-fidelity visuals.
Kling3.0 Models
Kuaishou’s flagship video generation suite, Kling 3.0, features two powerhouse models—Kling 3.0 (Upgraded from Kling 2.6) and Kling 3.0 Omni (Kling O3, Upgraded from Kling O1)—both offering high-fidelity native audio integration. While Kling 3.0 excels in intelligent cinematic storytelling, multilingual lip-syncing, and precision text rendering, Kling O3 sets a new standard for professional-grade subject consistency by supporting custom subjects and voice clones derived from video or image inputs. Together, these models provide a comprehensive solution tailored for cinematic narratives, global marketing campaigns, social media content, and digital skit production.
GLM LLM Models
GLM is a cutting-edge LLM series by Z.ai (Zhipu AI) featuring GLM-5, GLM-4.7, and GLM-4.6. Engineered for complex systems and long-horizon agentic tasks, GLM-5 outperforms top-tier closed-source models in elite benchmarks like Humanity’s Last Exam and BrowseComp. While GLM-4.7 specializes in reasoning, coding, and real-world intelligent agents, the entire GLM suite is fast, smart, and reliable, making it the ultimate tool for building websites, analyzing data, and delivering instant, high-quality answers for any professional workflow.
Open AI Model Families
Explore OpenAI’s language and video models on Atlas Cloud: ChatGPT for advanced reasoning and interaction, and Sora-2 for physics-aware video generation.
Happy Horse 1.0
HappyHorse-1.0 is a unified multimodal AI video generation model that climbed to the top of the Artificial Analysis Video Arena blind-test leaderboard for both text-to-video and image-to-video generation. CNBC Alibaba Group confirmed ownership of HappyHorse, developed under its Alibaba Token Hub (ATH) business unit, where it leads benchmarks outperforming ByteDance's Seedance 2.0 and others. Caixin Global Led by Zhang Di — the former VP of Kuaishou who architected Kling AI — the 15-billion parameter model generates 1080p video with synchronized audio in a single pass using a unified transformer architecture that bypasses the multi-stage pipelines used by every major competitor.
Seedance 2.0 Models
Seedance 2.0（by Bytedance） is a multimodal video generation model that redefines "controllable creation," moving beyond the limitations of text or start/end frames. It supports quad-modal inputs—text, image, video, and audio—and introduces an industry-leading "Universal Reference" system. By precisely replicating the composition, camera movement, and character actions from reference assets, Seedance 2.0 solves critical issues with character consistency and physical coherence, empowering creators to act as true "directors" with deep control over their output.
GPT Image 2 Models
GPT Image 2 is a state-of-the-art multimodal foundation model engineered for exceptional text-to-image generation with unprecedented photorealism and creative versatility. Developed by OpenAI as the evolution of the DALL-E lineage, it transforms detailed natural language descriptions into hyper-realistic imagery at up to 4K resolution. With proprietary "Neural Rendering Engine" technology for precise visual control, GPT Image 2 delivers studio-quality results with accurate anatomy, lighting, and composition—making it the premier AI tool for professional creators, enterprises, and developers demanding production-ready visual assets.
Wan2.7 Models
Launching this March, Wan2.7 is the latest powerhouse in the Qwen ecosystem, delivering a massive upgrade in visual fidelity, audio synchronization, and motion consistency over version 2.6. This all-in-one AI video generator supports advanced features like first-and-last frame control, 3x3 grid synthesis, and instruction-based video editing. Outperforming competitors like Jimeng, Wan2.7 offers superior flexibility with support for real-person image inputs, up to five video references, and 1080P high-definition outputs spanning 2 to 15 seconds, making it the premier choice for professional digital storytelling and high-end content marketing.
Veo3.1 Models
Google DeepMind’s Veo 3.1 represents a paradigm shift in AI video generation, empowering creators with director-level narrative control and cinematic-grade audio quality that seamlessly integrates with its enhanced visual realism. By bridging the gap between imaginative concepts and photorealistic execution, this advanced model offers a transformative solution for a wide range of application scenarios, from professional filmmaking and high-end advertising to immersive digital content creation.
ERNIE Image Models
ERNIE-Image is an open-weight text-to-image model developed by the ERNIE-Image Team at Baidu, built on a single-stream Diffusion Transformer (DiT) with 8B parameters and paired with a lightweight Prompt Enhancer that rewrites short prompts into richer, more structured descriptions before passing them to the diffusion backbone. NYU Shanghai RITS Released on April 15, 2026 under the Apache 2.0 license, it transforms natural language descriptions into detailed imagery with particular strength in text rendering and structured layout generation. ERNIE-Image is designed not only for strong visual quality, but for controllability in practical generation scenarios where accurate content realization matters as much as aesthetics — making it well-suited for commercial posters, comics, multi-panel layouts, and other content creation tasks that require both visual quality and precise control.
GPT Image Models
The GPT Image Family is OpenAI's latest suite of multimodal image generation and editing models, built on the powerful GPT architecture. This family includes three tiers — GPT Image-1, GPT Image-1.5, and GPT Image-1 Mini — each available in both Text-to-Image and Image-to-Image variants. Combining GPT's world-class language understanding with DALL·E-class visual synthesis, these models deliver exceptional prompt adherence, photorealistic rendering, and creative versatility across illustration, photography, design, and visualization tasks. The series offers flexible pricing and quality tiers to match any workflow — from rapid prototyping and high-volume content production to professional-grade final deliverables. Whether you need ultra-fast iterations at minimal cost or maximum quality for brand campaigns, the GPT Image Family has a solution tailored to your needs.
Nano Banana2 Models
Nano Banana 2 (by Google), is a generative image model that perfectly balances lightning-fast rendering with exceptional visual quality. With an improved price-performance ratio, it achieves breakthrough micro-detail depiction, accurate native text rendering, and complex physical structure reconstruction. It serves as a highly efficient, commercial-grade visual production tool for developers, marketing teams, and content creators.
Seedream5.0 Models
Seedream 5.0, developed by ByteDance’s Jimeng AI, is a high-performance AI image generation model that integrates real-time search with intelligent reasoning. Purpose-built for time-sensitive content and complex visual logic, it excels at professional infographics, architectural design, and UI assistance. By blending live web insights with creative precision, Seedream 5.0 empowers commercial branding and marketing with a seamless, logic-driven workflow that turns sophisticated data into stunning, high-fidelity visuals.
Kling3.0 Models
Kuaishou’s flagship video generation suite, Kling 3.0, features two powerhouse models—Kling 3.0 (Upgraded from Kling 2.6) and Kling 3.0 Omni (Kling O3, Upgraded from Kling O1)—both offering high-fidelity native audio integration. While Kling 3.0 excels in intelligent cinematic storytelling, multilingual lip-syncing, and precision text rendering, Kling O3 sets a new standard for professional-grade subject consistency by supporting custom subjects and voice clones derived from video or image inputs. Together, these models provide a comprehensive solution tailored for cinematic narratives, global marketing campaigns, social media content, and digital skit production.
GLM LLM Models
GLM is a cutting-edge LLM series by Z.ai (Zhipu AI) featuring GLM-5, GLM-4.7, and GLM-4.6. Engineered for complex systems and long-horizon agentic tasks, GLM-5 outperforms top-tier closed-source models in elite benchmarks like Humanity’s Last Exam and BrowseComp. While GLM-4.7 specializes in reasoning, coding, and real-world intelligent agents, the entire GLM suite is fast, smart, and reliable, making it the ultimate tool for building websites, analyzing data, and delivering instant, high-quality answers for any professional workflow.
Open AI Model Families
Explore OpenAI’s language and video models on Atlas Cloud: ChatGPT for advanced reasoning and interaction, and Sora-2 for physics-aware video generation.
