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.
Explorar Modelos Líderes(3)
O Que Faz GLM LLM Models Se Destacar
Atlas Cloud fornece os modelos criativos líderes da indústria mais recentes.
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.
Velocidade máxima
Menor custo
| 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. |
Novos recursos de GLM LLM Models + Showcase
A combinação de modelos avançados com a plataforma acelerada por GPU do Atlas Cloud oferece velocidade, escalabilidade e controle criativo incomparáveis para geração de imagens e vídeos.
Arquitetura MoE massiva de 744B e base de conhecimento universal
O modelo GLM-5 utiliza uma arquitetura de Mistura de Especialistas (MoE) de 744 bilhões de parâmetros treinada em impressionantes 28,5 trilhões de tokens para redefinir os limites de desempenho de código aberto. Ao otimizar 40 bilhões de parâmetros ativos, facilita um salto enorme na densidade de conhecimento mundial e na precisão de recuperação. É a base principal para tarefas cognitivas em larga escala e síntese de dados complexos.
Engenharia de Sistemas Agênticos Inovadora com GLM-5
O GLM-5 introduz capacidades agênticas avançadas concebidas para a execução de tarefas sistémicas de longo horizonte em ambientes de raciocínio de múltiplos passos. Ao integrar uma lógica de planeamento sofisticada na sua arquitetura central, o modelo mantém uma estabilidade excecional durante o desenvolvimento de software automatizado e a redação jurídica profissional. Serve como o motor definitivo para fluxos de trabalho autónomos que requerem extrema precisão e consistência a longo prazo.
Slime: Aprendizagem por Reforço Assíncrono e Evolução Lógica
O GLM-5 utiliza a inovadora infraestrutura de aprendizagem por reforço assíncrono "Slime" para revolucionar a eficiência do pós-treinamento e o rigor lógico. Este avanço melhora significativamente a qualidade da geração de código e o raciocínio algorítmico, superando benchmarks anteriores e garantindo sua classificação como um modelo de código aberto de topo. É a solução definitiva para o desenvolvimento full-stack e a resolução de problemas estruturais de alto nível.
O Que Você Pode Fazer com GLM LLM Models
Descubra casos de uso práticos e fluxos de trabalho que você pode construir com esta família de modelos — da criação de conteúdo e automação a aplicações de nível produção.
Inteligência de repositório abrangente com GLM-5
A API GLM-5 capacita os desenvolvedores a ingerir bases de código inteiras para análise lógica profunda e refatoração estrutural. Ao mapear gráficos de dependência e rastrear fluxos de dados assíncronos complexos, ela identifica condições de corrida em casos extremos e dívida técnica oculta. Perfeito para integração rápida de equipes, revisões automatizadas de PR e manutenção de arquiteturas de microsserviços escaláveis e de alto desempenho.
Prototipagem Full-Stack instantânea usando GLM-5
Para o desenvolvimento orientado pela intuição (vibe-driven), o GLM-5 converte esboços visuais abstratos e notas fragmentadas em componentes React ou Next.js implantáveis. Ele lida com o trabalho pesado de geração de código boilerplate, estilização com Tailwind CSS e gerenciamento de estado, garantindo a consistência entre páginas. Ideal para fundadores solo, experimentadores de UX e para lançar MVPs funcionais na velocidade da luz.
Orquestração de fluxo de trabalho autônoma com GLM-5
O GLM-5 destaca-se na gestão de tarefas de pesquisa de longo prazo que requerem raciocínio em várias etapas e integração de ferramentas em tempo real. Ele pode sintetizar independentemente dados de mercado de múltiplas fontes, redigir resumos jurídicos em conformidade e automatizar agendamentos complexos entre plataformas sem perder o contexto. Este caso de uso é ideal para gerentes de projeto, profissionais jurídicos e qualquer pessoa que necessite de um agente digital de alta confiabilidade para operações sistêmicas.
Comparação de Modelos
Veja como os modelos de diferentes provedores se comparam — compare desempenho, preços e pontos fortes exclusivos para tomar uma decisão informada.
| 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.
Por Que Usar GLM LLM Models no Atlas Cloud
Combine modelos avançados de GLM LLM Models com a plataforma acelerada por GPU do Atlas Cloud, fornecendo desempenho, escalabilidade e experiência de desenvolvimento incomparáveis.
Desempenho e Flexibilidade
Baixa Latência:
Inferência otimizada por GPU para respostas em tempo real.
API Unificada:
Uma única integração para acessar GLM LLM Models, GPT, Gemini e DeepSeek.
Preços Transparentes:
Faturamento por Token, suporta modo Serverless.
Empresa e Escala
Experiência do Desenvolvedor:
SDK, análise de dados, ferramentas de ajuste fino e modelos tudo em um.
Confiabilidade:
99.99% de disponibilidade, controle de permissões RBAC, logs de conformidade.
Segurança e Conformidade:
Certificação SOC 2 Type II, conformidade HIPAA, soberania de dados nos EUA.
Perguntas Frequentes sobre GLM LLM Models
Com 28,5T tokens de dados de treinamento e resultados estelares em benchmarks, o GLM-5 é amplamente considerado o "teto do código aberto". Ele rivaliza ou excede os modelos comerciais globais de primeira linha em capacidade e lógica, fornecendo uma base poderosa e de alto desempenho para o ecossistema global de desenvolvedores.
O HLE é um benchmark de alta dificuldade projetado para testar se a IA possui conhecimento e raciocínio humanos de nível especialista. O fato de o GLM-5 alcançar a pontuação máxima significa que seu domínio da ciência de fronteira e da lógica complexa atingiu ou superou o nível dos principais modelos de código fechado.
O BrowseComp é um ranking definitivo para capacidades "Agentic", focado no planejamento e execução de tarefas complexas em ambientes web do mundo real. A pontuação mais alta representa a capacidade do GLM-5 de navegar autonomamente em navegadores e integrar informações entre páginas, destacando-o como o principal motor de Web Agent.
Esta arquitetura fornece uma enorme "base de conhecimento" de 744 bilhões de parâmetros, ativando apenas ~40 bilhões durante a inferência. Para os desenvolvedores, isso se traduz em densidade de conhecimento e profundidade de raciocínio de classe mundial—superando modelos densos como o Llama-3 405B—com menor latência e custo.
Os parâmetros totais representam a "capacidade de conhecimento" do modelo, com 744B permitindo um vasto armazenamento de fatos mundiais e lógica especializada. Os parâmetros ativos representam o "poder computacional" usado por inferência. Graças à arquitetura MoE, o GLM-5 oferece inteligência de nível 744B usando apenas 40B de computação, equilibrando uma base de conhecimento massiva com desempenho de alta velocidade e custo-benefício.
O volume de dados de pré-treinamento determina a "amplitude de visão" de um modelo. 28,5T tokens é um dos maiores conjuntos de dados globalmente (aproximadamente o dobro do Llama-3), abrangendo idiomas raros, artigos acadêmicos especializados e um vasto código de alta qualidade. Isso garante que o GLM-5 possua precisão e generalização superiores ao lidar com consultas complexas de cauda longa, nuances interculturais e programação de sistemas de baixo nível.
Explorar Mais Séries
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.
