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.
Önde Gelen Modelleri Keşfedin(3)
GLM LLM Models'i Öne Çıkaran Nedir
Atlas Cloud size sektörün en yeni öncü yaratıcı modellerini sunar.
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.
En yüksek hız
En düşük maliyet
| 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. |
GLM LLM Models Yeni Özellikleri + Vitrin
Gelişmiş modelleri Atlas Cloud'un GPU hızlandırmalı platformuyla birleştirmek, görüntü ve video üretimi için benzersiz hız, ölçeklenebilirlik ve yaratıcı kontrol sunar.
Devasa 744B MoE Mimarisi ve Evrensel Bilgi Tabanı
GLM-5 modeli, açık kaynak performans tavanlarını yeniden tanımlamak için şaşırtıcı 28,5 trilyon token üzerinde eğitilmiş 744 milyar parametreli bir Uzmanlar Karışımı (MoE) mimarisinden yararlanır. 40 milyar aktif parametreyi optimize ederek, dünya bilgi yoğunluğunda ve erişim hassasiyetinde büyük bir sıçrama sağlar. Büyük ölçekli bilişsel görevler ve karmaşık veri sentezi için önde gelen temeldir.
GLM-5 ile Çığır Açan Ajan Tabanlı Sistem Mühendisliği
GLM-5, çok adımlı akıl yürütme ortamlarında uzun vadeli, sistemik görev yürütme için tasarlanmış gelişmiş ajan yetenekleri sunar. Gelişmiş planlama mantığını çekirdek mimarisine entegre ederek model, otomatik yazılım geliştirme ve profesyonel hukuki taslak hazırlama sırasında olağanüstü kararlılığını korur. Aşırı hassasiyet ve uzun vadeli tutarlılık gerektiren otonom iş akışları için kesin motor görevi görür.
Slime Asenkron Pekiştirmeli Öğrenme ve Mantık Evrimi
GLM-5, eğitim sonrası verimliliği ve mantıksal kesinliği devrim niteliğinde değiştirmek için yenilikçi "Slime" asenkron pekiştirmeli öğrenme altyapısını kullanır. Bu atılım, kod oluşturma kalitesini ve algoritmik akıl yürütmeyi önemli ölçüde artırarak önceki kıyaslamaları geride bırakır ve üst düzey açık kaynak model olarak yerini sağlamlaştırır. Full-stack geliştirme ve üst düzey yapısal problem çözme için nihai çözümdür.
GLM LLM Models ile Neler Yapabilirsiniz
Bu model ailesiyle oluşturabileceğiniz pratik kullanım senaryolarını ve iş akışlarını keşfedin — içerik oluşturma ve otomasyondan üretim düzeyinde uygulamalara kadar.
GLM-5 ile Kapsamlı Depo Zekası
GLM-5 API, geliştiricilerin derin mantık analizi ve yapısal yeniden düzenleme (refactoring) için tüm kod tabanlarını işlemelerini sağlar. Bağımlılık grafiklerini haritalandırarak ve karmaşık asenkron veri akışlarını izleyerek, uç durum yarış koşullarını (race conditions) ve gizli teknik borçları belirler. Hızlı ekip uyumu (onboarding), otomatik PR incelemeleri ve ölçeklenebilir, yüksek performanslı mikro hizmet mimarilerini sürdürmek için mükemmeldir.
GLM-5 ile Anında Full-Stack Prototipleme
Sezgi odaklı (vibe-driven) geliştirme için GLM-5, soyut görsel taslakları ve parça parça notları dağıtılabilir React veya Next.js bileşenlerine dönüştürür. Sayfalar arası tutarlılığı sağlarken, şablon kod (boilerplate) oluşturma, Tailwind CSS stillendirme ve durum yönetimi gibi ağır işleri üstlenir. Tek başına çalışan kurucular, UX deneycileri ve işlevsel MVP'leri ışık hızında yayınlamak için idealdir.
GLM-5 ile Otonom İş Akışı Orkestrasyonu
GLM-5, çok adımlı akıl yürütme ve gerçek zamanlı araç entegrasyonu gerektiren uzun vadeli araştırma görevlerini yönetmede üstün performans gösterir. Çok kaynaklı piyasa verilerini bağımsız olarak sentezleyebilir, uyumlu yasal özetler taslağı hazırlayabilir ve bağlamı kaybetmeden karmaşık platformlar arası planlamayı otomatikleştirebilir. Bu kullanım durumu, proje yöneticileri, hukuk uzmanları ve sistemik operasyonlar için yüksek güvenilirlikli bir dijital ajana ihtiyaç duyan herkes için uygundur.
Model Karşılaştırma
Farklı sağlayıcıların modellerinin nasıl karşılaştırıldığını görün — performans, fiyatlandırma ve benzersiz güçlü yönleri karşılaştırarak bilinçli bir karar verin.
| 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
Get started in minutes — follow these simple steps to integrate and deploy models through Atlas Cloud’s platform.
Create an Atlas Cloud Account
Sign up at atlascloud.ai and complete verification. New users receive free credits to explore the platform and test models.
Atlas Cloud'da GLM LLM Models'i Neden Kullanmalı
GLM LLM Models'in gelişmiş modellerinin Atlas Cloud'un GPU hızlandırmalı platformuyla birleşimi, benzersiz performans, ölçeklenebilirlik ve geliştirici deneyimi sunar.
Performans ve Esneklik
Düşük Gecikme:
Gerçek zamanlı akıl yürütme için GPU optimize çıkarım.
Birleşik API:
GLM LLM Models, GPT, Gemini ve DeepSeek'i tek entegrasyonla çalıştırın.
Şeffaf Fiyatlandırma:
Sunucusuz seçeneklerle öngörülebilir token tabanlı faturalandırma.
Kurumsal ve Ölçekleme
Geliştirici Deneyimi:
SDK'lar, analitik, ince ayar araçları ve şablonlar.
Güvenilirlik:
%99,99 kullanılabilirlik, RBAC ve uyumluluk için hazır günlükleme.
Güvenlik ve Uyumluluk:
SOC 2 Type II, HIPAA uyumluluğu, ABD'de veri egemenliği.
Sıkça Sorulan Sorular - GLM LLM Models
28,5T token eğitim verisi ve mükemmel kıyaslama sonuçlarıyla GLM-5, yaygın olarak "açık kaynağın tavanı" olarak kabul edilmektedir. Kapasite ve mantık açısından üst düzey küresel ticari modellerle rekabet eder veya onları aşar, böylece küresel geliştirici ekosistemi için güçlü, yüksek performanslı bir temel sağlar.
HLE, yapay zekanın uzman düzeyinde insan bilgisine ve muhakeme yeteneğine sahip olup olmadığını test etmek için tasarlanmış yüksek zorluklu bir kıyaslamadır. GLM-5'in en yüksek puanı alması, sınır bilimler ve karmaşık mantık konusundaki hakimiyetinin önde gelen kapalı kaynak modellerin seviyesine ulaştığını veya bu seviyeyi aştığını gösterir.
BrowseComp, gerçek dünya web ortamlarında karmaşık görev planlama ve yürütmeye odaklanan "Agentic" yetenekler için kesin bir liderlik tablosudur. En yüksek puan, GLM-5'in tarayıcılarda otonom olarak gezinme ve sayfalar arası bilgileri entegre etme yeteneğini temsil eder ve onu önde gelen Web Agent motoru olarak işaretler.
Bu mimari, 744 milyar parametrelik devasa bir "bilgi tabanı" sağlarken, çıkarım (inference) sırasında yalnızca ~40 milyarını etkinleştirir. Geliştiriciler için bu, Llama-3 405B gibi yoğun (dense) modelleri geride bırakan, daha düşük gecikme süresi ve maliyetle dünya standartlarında bilgi yoğunluğu ve muhakeme derinliği anlamına gelir.
Toplam parametreler modelin "bilgi kapasitesini" temsil eder; 744B, dünya gerçeklerinin ve uzman mantığının geniş bir şekilde depolanmasına olanak tanır. Aktif parametreler, çıkarım başına kullanılan "hesaplama gücünü" temsil eder. MoE mimarisi sayesinde GLM-5, yalnızca 40B işlem gücü kullanarak 744B seviyesinde zeka sunar ve devasa bir bilgi tabanını yüksek hızlı, maliyet etkin performansla dengeler.
Ön eğitim verilerinin hacmi, bir modelin "görüş genişliğini" belirler. 28,5T token, nadir dilleri, uzmanlaşmış akademik makaleleri ve geniş kapsamlı yüksek kaliteli kodları içeren, küresel çapta en büyük veri setlerinden biridir (Llama-3'ünkinin kabaca iki katı). Bu, GLM-5'in karmaşık uzun kuyruk (long-tail) sorgularını, kültürlerarası nüansları ve düşük seviyeli sistem programlamayı ele alırken üstün doğruluk ve genelleme yeteneğine sahip olmasını sağlar.
Daha Fazla Aile Keşfedin
Promote Models (Qwen)
Wan 2.7 Video 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.
Nano Banana 2 Image 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.
Seedream 5.0 Image 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.
Seedance 2.0 Video 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.
Kling 3.0 Video 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.
Vidu Video Models
Vidu, a joint innovation by Shengshu AI and Tsinghua University, is a high-performance video model powered by the original U-ViT architecture that blends Diffusion and Transformer technologies. It delivers long-form, highly consistent, and dynamic video content tailored for professional filmmaking, animation design, and creative advertising. By streamlining high-end visual production, Vidu empowers creators to transform complex ideas into cinematic reality with unprecedented efficiency.
Van Video Models
Built on the Wan 2.5 and 2.6 frameworks, Van Model is a flagship AI video series that delivers superior high-resolution outputs with unmatched creative freedom. By blending cinematic 3D VAE visuals with Flow Matching dynamics, it leverages proprietary compute distillation to offer ultra-fast inference speeds at a fraction of the cost, making it the premier engine for scalable, high-frequency video production on a budget.
MiniMax LLM Models
As a premier suite of Large Language Models (LLMs) developed by MiniMax AI, MiniMax is engineered to redefine real-world productivity through cutting-edge artificial intelligence. The ecosystem features MiniMax M2.5, which is purpose-built for high-efficiency professional environments, and MiniMax M2.1, a model that offers significantly enhanced multi-language programming capabilities to master complex, large-scale technical tasks. By achieving SOTA performance in coding, agentic tool use, intelligent search, and office workflow automation, MiniMax empowers users to streamline a wide range of economically valuable operations with unparalleled precision and reliability.
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.
Promote Models (Qwen)
Wan 2.7 Video 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.
Nano Banana 2 Image 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.
Seedream 5.0 Image 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.
Seedance 2.0 Video 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.
Kling 3.0 Video 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.
Vidu Video Models
Vidu, a joint innovation by Shengshu AI and Tsinghua University, is a high-performance video model powered by the original U-ViT architecture that blends Diffusion and Transformer technologies. It delivers long-form, highly consistent, and dynamic video content tailored for professional filmmaking, animation design, and creative advertising. By streamlining high-end visual production, Vidu empowers creators to transform complex ideas into cinematic reality with unprecedented efficiency.
Van Video Models
Built on the Wan 2.5 and 2.6 frameworks, Van Model is a flagship AI video series that delivers superior high-resolution outputs with unmatched creative freedom. By blending cinematic 3D VAE visuals with Flow Matching dynamics, it leverages proprietary compute distillation to offer ultra-fast inference speeds at a fraction of the cost, making it the premier engine for scalable, high-frequency video production on a budget.
MiniMax LLM Models
As a premier suite of Large Language Models (LLMs) developed by MiniMax AI, MiniMax is engineered to redefine real-world productivity through cutting-edge artificial intelligence. The ecosystem features MiniMax M2.5, which is purpose-built for high-efficiency professional environments, and MiniMax M2.1, a model that offers significantly enhanced multi-language programming capabilities to master complex, large-scale technical tasks. By achieving SOTA performance in coding, agentic tool use, intelligent search, and office workflow automation, MiniMax empowers users to streamline a wide range of economically valuable operations with unparalleled precision and reliability.
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.
