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.
Jelajahi Model Terkemuka
Atlas Cloud menyediakan model kreatif terdepan dan terbaru di industri untuk Anda.
Apa Yang Membuat GLM LLM Models Menonjol
Atlas Cloud menyediakan model kreatif terdepan di industri yang terbaru untuk Anda.
Advanced Reasoning
Tuned for strong logical reasoning, structured analysis, and multi-step problem solving.
Cost-Efficiency
Optimized architectures keep latency and costs under control.
Safety & Governance
Built-in content filters, auditing tools, and policy controls help teams deploy.
Enterprise Reliability
Production-ready SLAs, monitoring, and governance features help teams confidently ship applications.
Chinese–English Excellence
Native-strength Chinese and fluent English support enable high-quality bilingual chat, search, and generation.
Developer-Friendly Ecosystem
Clean APIs, SDKs, and tooling make it easy to integrate, fine-tune, and operate Z.ai across products and platforms.
Kecepatan puncak
Biaya terendah
| Model | Description |
|---|---|
| GLM-5 | GLM-5 is Z.ai's flagship LLM featuring a massive 202.75K context window optimized for complex systems and long-horizon agentic tasks. Outperforming elite closed-source models in benchmarks like Humanity’s Last Exam and BrowseComp, it provides robust programming and stable multi-step reasoning at highly competitive baseline pricing. |
| GLM-4.7 | GLM-4.7 is a high-performance LLM with a 202.75K context window specifically engineered for real-world intelligent agents, advanced reasoning, and professional coding. Fast, smart, and reliable, it serves as the ideal engine for building complex websites and automating sophisticated professional workflows with precision. |
| GLM-4.6 | GLM-4.6 is a powerful MoE LLM with a 202.75K context window designed for rapid data analysis and instant, high-fidelity answers. This dependable model excels at high-efficiency tasks like creating professional slides and web content, offering a smart balance of speed and enterprise-grade performance. |
Fitur baru GLM 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.
Arsitektur MoE 744B Masif dan Basis Pengetahuan Universal
Model GLM-5 memanfaatkan arsitektur Mixture-of-Experts (MoE) dengan 744 miliar parameter yang dilatih pada 28,5 triliun token yang mencengangkan untuk mendefinisikan ulang batas kinerja open-source. Dengan mengoptimalkan 40 miliar parameter aktif, model ini memfasilitasi lompatan besar dalam kepadatan pengetahuan dunia dan presisi pengambilan informasi. Ini adalah fondasi utama untuk tugas kognitif skala besar dan sintesis data yang kompleks.
Rekayasa Sistem Agen Terobosan dengan GLM-5
GLM-5 memperkenalkan kemampuan agen tingkat lanjut yang dirancang untuk eksekusi tugas sistemik jangka panjang di seluruh lingkungan penalaran multi-langkah. Dengan mengintegrasikan logika perencanaan yang canggih ke dalam arsitektur intinya, model ini mempertahankan stabilitas yang luar biasa selama pengembangan perangkat lunak otomatis dan penyusunan hukum profesional. Ini berfungsi sebagai mesin definitif untuk alur kerja otonom yang membutuhkan presisi ekstrem dan konsistensi jangka panjang.
Slime Pembelajaran Penguatan Asinkron dan Evolusi Logika
GLM-5 memanfaatkan infrastruktur pembelajaran penguatan asinkron "Slime" yang inovatif untuk merevolusi efisiensi pasca-pelatihan dan ketelitian logis. Terobosan ini secara signifikan meningkatkan kualitas pembuatan kode dan penalaran algoritmik, melampaui tolok ukur sebelumnya dan mengamankan peringkatnya sebagai model open-source tingkat atas. Ini adalah solusi utama untuk pengembangan full-stack dan pemecahan masalah struktural tingkat tinggi.
Yang Dapat Anda Lakukan dengan GLM 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.
Intelijen Repositori Komprehensif dengan GLM-5
GLM-5 API memberdayakan pengembang untuk menyerap seluruh basis kode (codebase) guna analisis logika mendalam dan refactoring struktural. Dengan memetakan grafik dependensi dan melacak aliran data asinkron yang kompleks, API ini mengidentifikasi kondisi balapan (race conditions) pada kasus tepi dan utang teknis yang tersembunyi. Sempurna untuk onboarding tim yang cepat, tinjauan PR otomatis, dan memelihara arsitektur layanan mikro (microservices) yang dapat diskalakan dan berkinerja tinggi.
Pembuatan Prototipe Full-Stack Instan menggunakan GLM-5
Untuk pengembangan berbasis "vibe", GLM-5 mengubah maket visual abstrak dan catatan terfragmentasi menjadi komponen React atau Next.js yang siap diterapkan. Model ini menangani pekerjaan berat pembuatan boilerplate, penataan gaya Tailwind CSS, dan manajemen state sambil memastikan konsistensi lintas halaman. Ideal untuk pendiri solo, eksperimentator UX, dan meluncurkan MVP fungsional secepat kilat.
Orkestrasi Alur Kerja Otonom dengan GLM-5
GLM-5 unggul dalam mengelola tugas penelitian jangka panjang yang memerlukan penalaran multi-langkah dan integrasi alat waktu nyata. Ia dapat secara independen mensintesis data pasar dari berbagai sumber, menyusun ringkasan hukum yang patuh, dan mengotomatiskan penjadwalan lintas platform yang kompleks tanpa kehilangan konteks. Kasus penggunaan ini cocok untuk manajer proyek, profesional hukum, dan siapa pun yang membutuhkan agen digital dengan keandalan tinggi untuk operasi sistemik.
Perbandingan Model
Lihat bagaimana model dari berbagai penyedia dibandingkan — bandingkan performa, harga, dan keunggulan unik untuk membuat keputusan yang tepat.
| Model | Context | Max Output | Input | Positioning |
|---|---|---|---|---|
| GLM-5 | 202.75K | 202.75K | Text | Flagship Foundation Model |
| GLM-4.7 | 202.75K | 202.75K | Text | Flagship Foundation Model |
| GLM-4.6 | 202.75K | 202.75K | Text | Efficient MoE Model |
| DeepSeek V3.2 | 163.84K | 163.84K | Text | Flagship General |
| MiniMax-M2.5 | 204.8K | 196.6K | Text | SOTA Agentic Coding |
How to Use GLM LLM Models on Atlas Cloud
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Mengapa Menggunakan GLM LLM Models di Atlas Cloud
Gabungkan model GLM 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 GLM 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 GLM LLM Models
Dengan 28,5T token data pelatihan dan hasil tolok ukur yang luar biasa, GLM-5 secara luas dianggap sebagai "langit-langit open-source". Model ini menyaingi atau melampaui model komersial global tingkat atas dalam hal kapasitas dan logika, menyediakan fondasi yang kuat dan berkinerja tinggi bagi ekosistem pengembang global.
HLE adalah tolok ukur berkesulitan tinggi yang dirancang untuk menguji apakah AI memiliki pengetahuan dan penalaran manusia tingkat ahli. Pencapaian skor tertinggi oleh GLM-5 menandakan bahwa penguasaannya terhadap sains terdepan dan logika kompleks telah mencapai atau melampaui level model sumber tertutup (closed-source) terkemuka.
BrowseComp adalah papan peringkat definitif untuk kemampuan "Agentic", yang berfokus pada perencanaan dan pelaksanaan tugas yang kompleks dalam lingkungan web dunia nyata. Skor tertinggi mewakili kemampuan GLM-5 untuk menavigasi browser secara mandiri dan mengintegrasikan informasi lintas halaman, menandainya sebagai mesin Web Agent utama.
Arsitektur ini menyediakan "basis pengetahuan" masif sebesar 744 miliar parameter sembari hanya mengaktifkan ~40 miliar selama inferensi. Bagi pengembang, ini berarti kepadatan pengetahuan dan kedalaman penalaran kelas dunia—melampaui model padat (dense models) seperti Llama-3 405B—dengan latensi dan biaya yang lebih rendah.
Total parameter mewakili "kapasitas pengetahuan" model, dengan 744B memungkinkan penyimpanan fakta dunia dan logika ahli yang luas. Parameter aktif mewakili "daya komputasi" yang digunakan per inferensi. Berkat arsitektur MoE, GLM-5 menghadirkan kecerdasan level 744B hanya dengan menggunakan komputasi 40B, menyeimbangkan basis pengetahuan yang masif dengan kinerja berkecepatan tinggi dan hemat biaya.
Volume data pra-pelatihan menentukan "luasnya wawasan" sebuah model. 28,5T token adalah salah satu dataset terbesar secara global (kira-kira dua kali lipat dari Llama-3), mencakup bahasa langka, makalah akademis khusus, dan kode berkualitas tinggi yang luas. Hal ini memastikan GLM-5 memiliki akurasi dan generalisasi yang unggul saat menangani kueri long-tail yang kompleks, nuansa lintas budaya, dan pemrograman sistem tingkat rendah.
Jelajahi Lebih Banyak Seri
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.
Grok-Imagine Models
Grok Imagine Image Quality is xAI's latest AI image generation model, delivering studio-grade visuals with up to 2K resolution and razor-sharp detail. It offers best-in-class text rendering across multiple languages, photorealistic outputs with natural lighting, rich textures, and believable physics, plus tighter prompt following and image editing with reference inputs for precise creative control. Ideal for hero images, ad creatives, product renders, and brand-grade visuals.
Gemini Omni
Gemini Omni (by Google DeepMind) is a video generation and editing model launched on May 20, 2026 at Google I/O that redefines the standard for "reasoning-driven creation," built specifically to solve the core challenge of AI video: making output that actually understands what you mean, not just what you type. It fuses Gemini's reasoning engine with generative capability, accepting any mix of images, text, video, and audio to produce consistent, knowledge-grounded output. Unlike models that start from scratch each time, Omni lets you edit through natural conversation — swapping objects, rewriting scenes, shifting styles — while keeping physics, characters, and continuity intact across every turn.
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.
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.
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.
