Qwen LLM Models
Qwen 是阿里云开发的一系列大型语言模型（LLM），旨在实现强大的自然语言理解和文本生成。Qwen 模型涵盖了从轻量级到超大规模的范围，支持多语言能力，使其适用于聊天机器人、内容创作、代码辅助和推理任务。Qwen 强调开源可用性、强大的性能和灵活的部署，使开发者和企业能够在各种用例中构建高效且具有成本效益的 AI 应用。
探索领先模型
Atlas Cloud 为您提供最新的行业领先创意模型。
Qwen3-Max is a flagship large language model designed for ultra-long context understanding, powerful reasoning, and high-performance text and code generation, making it well suited for complex, large-scale, and production-grade AI applications.
Qwen3 Max 20260123
暂无描述
Qwen3-VL-235B-A22B-Instruct
Qwen's latest and most powerful open-source model.
Qwen3 30B A3B Instruct 2507
Qwen's latest and most powerful open-source model.
Qwen3 Next 80B A3B Thinking
Qwen's latest and most powerful open-source model.
Qwen3 Next 80B A3B Instruct
The latest Qwen reasoning model.
Qwen3 8B
The latest Qwen reasoning model.
Qwen3 235B A22B Thinking 2507
The latest Qwen reasoning model.
Qwen3 VL 235B A22B Thinking
The latest Qwen reasoning model.
Qwen3 30B A3B
The latest Qwen reasoning model.
Qwen3 30B A3B Thinking 2507
The latest Qwen model.
Qwen2.5 7B Instruct
The latest Qwen reasoning model.
Qwen3 32B
Qwen3-Coder is the code version of Qwen3.
Qwen3 Coder
235B-parameter MoE thinking model in Qwen3 series.
Qwen3-235B-A22B-Instruct-2507
Qwen LLM Models 的核心亮点
Atlas Cloud 为您提供业界领先的最新创意模型。
真实商业 DNA
基于来自实时生产环境的真实全球电商和企业工作流进行训练。
为生产环境构建
基于全球企业日常使用的真实云服务 API 和 SaaS 工具开发。
编写生产级代码
基于数十亿行在真实云端和自动化系统上运行的有效代码进行了微调。
可在任何平台上运行
提供一系列适合从笔记本电脑到服务器等各种设备规模的模型。
真正开放的许可
采用 Apache 2.0 协议，拥有完全的商业自由，针对任何用例进行了优化。
经大规模验证
赋能实时系统中超过 1 亿的真实用户。
使用 Qwen LLM Models 可以做什么
Atlas Cloud 为您提供业界领先的最新创意模型。
1import requests
2
3url = "https://api.atlascloud.ai/v1/chat/completions"
4headers = {
5 "Content-Type": "application/json",
6 "Authorization": "Bearer $ATLASCLOUD_API_KEY"
7}
8data = {
9 "model": "",
10 "messages": [
11 {
12 "role": "user",
13 "content": "what is difference between http and https"
14 }
15 ],
16 "max_tokens": 32768,
17 "temperature": 1,
18 "stream": True
19}
20
21response = requests.post(url, headers=headers, json=data)
22print(response.json())凭借精准且可扩展的回复，赋能企业级聊天机器人和虚拟代理
生成并调试涵盖全栈语言的生产级代码
凭借特定领域的专业理解，助力科学与技术研究
解决金融、物流、运营、法律和合规领域的复杂多步骤问题
自动生成海量内容，例如产品描述和营销文案
针对法律、合规及受监管领域的工作流，提供可直接用于审计的输出结果
为何在 Atlas Cloud 使用 Qwen LLM Models
将先进的 Qwen LLM Models 模型与 Atlas Cloud 的 GPU 加速平台相结合，提供无与伦比的性能、可扩展性和开发体验。
性能与灵活性
低延迟：
GPU 优化推理，实现实时响应。
统一 API：
一次集成，畅用 Qwen LLM Models、GPT、Gemini 和 DeepSeek。
透明定价：
按 Token 计费，支持 Serverless 模式。
企业与规模
开发者体验：
SDK、数据分析、微调工具和模板一应俱全。
可靠性：
99.99% 可用性、RBAC 权限控制、合规日志。
安全与合规：
SOC 2 Type II 认证、HIPAA 合规、美国数据主权。
探索更多系列
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.
Vidu Video Models
Vidu (by ShengShu Technology) is a foundational video model built on the proprietary U-ViT architecture, combining the strengths of Diffusion and Transformer models. It features superior semantic understanding and generation capabilities, producing coherent, fluid visuals that adhere to physical laws without the need for interpolation. With exceptional spatiotemporal consistency and a deep understanding of diverse cultural elements, Vidu empowers professional filmmakers and creators with a stable, efficient, and imaginative tool for video production.
MiniMax LLM Models
MiniMax is a large language model developed by MiniMax AI, focused on efficient reasoning, long-context understanding, and scalable text generation. It is designed for complex tasks such as dialogue systems, document analysis, content creation, and AI agents. With an emphasis on high performance at lower computational cost, MiniMax is well suited for enterprise applications and developer use cases where stability, efficiency, and cost control are important.
GLM LLM Models
GLM (General Language Model) is a large language model developed by ZAI (Zhipu AI) for text understanding, generation, and reasoning. It supports both Chinese and English and performs well in dialogue, content creation, translation, and code assistance. GLM is widely used in chatbots, enterprise AI systems, and developer applications due to its stable performance and versatility.
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.
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.
Van Video Models
Van Model is a flagship video model family, perfectly retaining the cinematic visuals and complex dynamics of 3D VAE and Flow Matching. By leveraging proprietary compute distillation, it breaks the "quality equals cost" barrier to deliver extreme inference speeds and ultra-low costs. This makes Van the premier engine for enterprises and developers seeking high-frequency, scalable video production on a budget.
Kling 3.0 Video Models
Kling AI Video 3.0 (by Kuaishou) is a groundbreaking model designed to bridge the worlds of sound and visuals through its unique Single-pass architecture. By simultaneously generating visuals, natural voiceovers, sound effects, and ambient atmosphere, it eliminates the disjointed workflows of traditional tools. This true audio-visual integration simplifies complex post-production, providing creators with an immersive storytelling solution that significantly boosts both creative depth and output efficiency.
Veo3.1 Video Models
Veo 3.1 (by Google) is a flagship generative video model that sets a new standard for cinematic AI by deeply integrating semantic capabilities to deliver cinematic visuals, synchronized audio, and complex storytelling in a single workflow. Distinguishing itself through superior adherence to cinematic terminology and physics-based consistency, it offers professional filmmakers an unparalleled tool for transforming scripts into coherent, high-fidelity productions with precise directorial control.
Sora-2 Video Models
The Sora-2 family from OpenAI is the next-generation video + audio generation model, enabling both text-to-video and image-to-video outputs with synchronized dialogue, sound effect, improved physical realism, and fine-grained control.
Nano Banana Image Models
Nano Banana is a fast, lightweight image generation model for playful, vibrant visuals. Optimized for speed and accessibility, it creates high-quality images with smooth shapes, bold colors, and clear compositions—perfect for mascots, stickers, icons, social posts, and fun branding.
Wan2.6 Video Models
Wan 2.6 is a next-generation AI video generation model from Alibaba’s Tongyi Lab, designed for professional-quality, multimodal video creation. It combines advanced narrative understanding, multi-shot storytelling, and native audio–visual synchronization to produce smooth 1080p videos up to 15 s long from text and reference inputs. Wan 2.6 also supports character consistency and role-guided generation, enabling creators to turn scripts into cohesive scenes with seamless motion and lip syncing. Its efficiency and rich creative control make it ideal for short films, advertising, social media content, and automated video workflows.
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.
Vidu Video Models
Vidu (by ShengShu Technology) is a foundational video model built on the proprietary U-ViT architecture, combining the strengths of Diffusion and Transformer models. It features superior semantic understanding and generation capabilities, producing coherent, fluid visuals that adhere to physical laws without the need for interpolation. With exceptional spatiotemporal consistency and a deep understanding of diverse cultural elements, Vidu empowers professional filmmakers and creators with a stable, efficient, and imaginative tool for video production.
MiniMax LLM Models
MiniMax is a large language model developed by MiniMax AI, focused on efficient reasoning, long-context understanding, and scalable text generation. It is designed for complex tasks such as dialogue systems, document analysis, content creation, and AI agents. With an emphasis on high performance at lower computational cost, MiniMax is well suited for enterprise applications and developer use cases where stability, efficiency, and cost control are important.
GLM LLM Models
GLM (General Language Model) is a large language model developed by ZAI (Zhipu AI) for text understanding, generation, and reasoning. It supports both Chinese and English and performs well in dialogue, content creation, translation, and code assistance. GLM is widely used in chatbots, enterprise AI systems, and developer applications due to its stable performance and versatility.
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.
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.
Van Video Models
Van Model is a flagship video model family, perfectly retaining the cinematic visuals and complex dynamics of 3D VAE and Flow Matching. By leveraging proprietary compute distillation, it breaks the "quality equals cost" barrier to deliver extreme inference speeds and ultra-low costs. This makes Van the premier engine for enterprises and developers seeking high-frequency, scalable video production on a budget.
Kling 3.0 Video Models
Kling AI Video 3.0 (by Kuaishou) is a groundbreaking model designed to bridge the worlds of sound and visuals through its unique Single-pass architecture. By simultaneously generating visuals, natural voiceovers, sound effects, and ambient atmosphere, it eliminates the disjointed workflows of traditional tools. This true audio-visual integration simplifies complex post-production, providing creators with an immersive storytelling solution that significantly boosts both creative depth and output efficiency.
Veo3.1 Video Models
Veo 3.1 (by Google) is a flagship generative video model that sets a new standard for cinematic AI by deeply integrating semantic capabilities to deliver cinematic visuals, synchronized audio, and complex storytelling in a single workflow. Distinguishing itself through superior adherence to cinematic terminology and physics-based consistency, it offers professional filmmakers an unparalleled tool for transforming scripts into coherent, high-fidelity productions with precise directorial control.
Sora-2 Video Models
The Sora-2 family from OpenAI is the next-generation video + audio generation model, enabling both text-to-video and image-to-video outputs with synchronized dialogue, sound effect, improved physical realism, and fine-grained control.
Nano Banana Image Models
Nano Banana is a fast, lightweight image generation model for playful, vibrant visuals. Optimized for speed and accessibility, it creates high-quality images with smooth shapes, bold colors, and clear compositions—perfect for mascots, stickers, icons, social posts, and fun branding.
Wan2.6 Video Models
Wan 2.6 is a next-generation AI video generation model from Alibaba’s Tongyi Lab, designed for professional-quality, multimodal video creation. It combines advanced narrative understanding, multi-shot storytelling, and native audio–visual synchronization to produce smooth 1080p videos up to 15 s long from text and reference inputs. Wan 2.6 also supports character consistency and role-guided generation, enabling creators to turn scripts into cohesive scenes with seamless motion and lip syncing. Its efficiency and rich creative control make it ideal for short films, advertising, social media content, and automated video workflows.
