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.
Explore the Leading GLM LLM Models
Atlas Cloud ti fornisce i più recenti modelli creativi leader del settore.
Cosa Rende Speciale GLM LLM Models
Atlas Cloud ti fornisce i più recenti modelli creativi leader del settore.
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.
Velocità massima
Costo più basso
| 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. |
Nuove funzionalità di GLM LLM Models + Showcase
La combinazione di modelli avanzati con la piattaforma accelerata da GPU di Atlas Cloud offre velocità, scalabilità e controllo creativo senza pari per la generazione di immagini e video.
Architettura MoE massiva da 744B e base di conoscenza universale
Il modello GLM-5 sfrutta un'architettura Mixture-of-Experts (MoE) da 744 miliardi di parametri addestrata su ben 28,5 trilioni di token per ridefinire i limiti delle prestazioni open-source. Ottimizzando 40 miliardi di parametri attivi, facilita un enorme salto nella densità della conoscenza mondiale e nella precisione del recupero. È la base principale per compiti cognitivi su larga scala e la sintesi di dati complessi.
Ingegneria dei sistemi agentici rivoluzionaria con GLM-5
GLM-5 introduce capacità agentiche avanzate progettate per l'esecuzione di compiti sistemici a lungo orizzonte in ambienti di ragionamento a più fasi. Integrando una sofisticata logica di pianificazione nella sua architettura centrale, il modello mantiene un'eccezionale stabilità durante lo sviluppo automatizzato di software e la stesura legale professionale. Funge da motore definitivo per flussi di lavoro autonomi che richiedono estrema precisione e coerenza a lungo termine.
Slime: Apprendimento per rinforzo asincrono ed evoluzione logica
GLM-5 utilizza l'innovativa infrastruttura di apprendimento per rinforzo asincrono "Slime" per rivoluzionare l'efficienza post-addestramento e il rigore logico. Questa svolta migliora significativamente la qualità della generazione del codice e il ragionamento algoritmico, superando i benchmark precedenti e assicurando la sua posizione come modello open-source di alto livello. È la soluzione definitiva per lo sviluppo full-stack e la risoluzione di problemi strutturali di alto livello.
Cosa Puoi Fare con GLM LLM Models
Scopri casi d'uso pratici e workflow che puoi costruire con questa famiglia di modelli — dalla creazione di contenuti e automazione alle applicazioni di livello produzione.
Intelligence completa del repository con GLM-5
L'API GLM-5 consente agli sviluppatori di acquisire intere codebase per un'analisi logica approfondita e il refactoring strutturale. Mappando i grafici delle dipendenze e tracciando complessi flussi di dati asincroni, identifica race condition in casi limite e debito tecnico nascosto. Perfetto per il rapido onboarding del team, le revisioni automatiche delle PR e il mantenimento di architetture a microservizi scalabili e ad alte prestazioni.
Prototipazione Full-Stack istantanea con GLM-5
Per lo sviluppo "vibe-driven", GLM-5 converte bozze visive astratte e appunti frammentati in componenti React o Next.js distribuibili. Gestisce il lavoro pesante della generazione di codice boilerplate, dello styling con Tailwind CSS e della gestione dello stato, garantendo al contempo la coerenza tra le pagine. Ideale per fondatori solitari, sperimentatori UX e per il rilascio di MVP funzionali alla velocità della luce.
Orchestrazione autonoma dei flussi di lavoro con GLM-5
GLM-5 eccelle nella gestione di attività di ricerca a lungo termine che richiedono ragionamento a più fasi e integrazione di strumenti in tempo reale. Può sintetizzare indipendentemente dati di mercato da più fonti, redigere riassunti legali conformi e automatizzare complesse pianificazioni multipiattaforma senza perdere il contesto. Questo caso d'uso è adatto a project manager, professionisti legali e chiunque richieda un agente digitale ad alta affidabilità per operazioni sistemiche.
Confronto Modelli
Scopri come si confrontano i modelli di diversi provider — confronta prestazioni, prezzi e punti di forza unici per una decisione informata.
| 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.
Why Use GLM LLM Models on Atlas Cloud
Combining the advanced GLM LLM Models models with Atlas Cloud's GPU-accelerated platform provides unmatched performance, scalability, and developer experience.
Performance & flexibility
Low Latency:
GPU-optimized inference for real-time reasoning.
Unified API:
Run GLM LLM Models, GPT, Gemini, and DeepSeek with one integration.
Transparent Pricing:
Predictable per-token billing with serverless options.
Enterprise & Scale
Developer Experience:
SDKs, analytics, fine-tuning tools, and templates.
Reliability:
99.99% uptime, RBAC, and compliance-ready logging.
Security & Compliance:
SOC 2 Type II, HIPAA alignment, data sovereignty in US.
Domande Frequenti su GLM LLM Models
Con 28,5T token di dati di addestramento e risultati di benchmark stellari, GLM-5 è ampiamente considerato il "soffitto dell'open-source". Rivaleggia o supera i modelli commerciali globali di alto livello in capacità e logica, fornendo una base potente e ad alte prestazioni per l'ecosistema globale degli sviluppatori.
HLE è un benchmark ad alta difficoltà progettato per testare se l'IA possiede conoscenze e capacità di ragionamento umano di livello esperto. Il raggiungimento del punteggio più alto da parte di GLM-5 indica che la sua padronanza della scienza di frontiera e della logica complessa ha raggiunto o superato il livello dei principali modelli closed-source.
BrowseComp è la classifica definitiva per le capacità "Agentic", incentrata sulla pianificazione e l'esecuzione di compiti complessi in ambienti web reali. Il punteggio più alto rappresenta la capacità di GLM-5 di navigare autonomamente nei browser e integrare informazioni tra le pagine, contrassegnandolo come il principale motore Web Agent.
Questa architettura fornisce una massiccia "base di conoscenza" di 744 miliardi di parametri attivandone solo ~40 miliardi durante l'inferenza. Per gli sviluppatori, ciò si traduce in una densità di conoscenza e profondità di ragionamento di livello mondiale—superando modelli densi come Llama-3 405B—a latenza e costi inferiori.
I parametri totali rappresentano la "capacità di conoscenza" del modello, con 744B che consentono un vasto archivio di fatti mondiali e logica esperta. I parametri attivi rappresentano la "potenza di calcolo" utilizzata per inferenza. Grazie all'architettura MoE, GLM-5 offre un'intelligenza di livello 744B utilizzando solo 40B di calcolo, bilanciando un'enorme base di conoscenza con prestazioni ad alta velocità ed economicamente vantaggiose.
Il volume dei dati di pre-addestramento determina l'"ampiezza di visione" di un modello. 28,5T token rappresentano uno dei set di dati più grandi a livello globale (circa il doppio di quello di Llama-3), comprendendo lingue rare, documenti accademici specializzati e un vasto codice di alta qualità. Ciò garantisce che GLM-5 possieda una precisione e una generalizzazione superiori nell'affrontare query complesse a coda lunga, sfumature interculturali e programmazione di sistema a basso livello.
Explore More Families
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.
