Qwen LLM Models
Qwen 是阿里雲開發的一系列大型語言模型（LLM），旨在實現強大的自然語言理解和文本生成。Qwen 模型涵蓋了從輕量級到超大規模的範圍，支援多語言能力，使其適用於聊天機器人、內容創作、程式碼輔助和推理任務。Qwen 強調開源可用性、強大的性能和靈活的部署，使開發者和企業能夠在各種用例中構建高效且具有成本效益的 AI 應用。
探索領先模型
Atlas Cloud 為您提供最新的行業領先創意模型。
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
暫無描述
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 的核心亮點
Atlas Cloud 為您提供業界領先的最新創意模型。
真實商業 DNA
針對來自即時生產環境的真實全球電子商務與企業工作流程進行訓練。
為生產環境構建
採用全球企業日常使用的真實雲端服務 API 和 SaaS 工具開發。
撰寫生產級程式碼
基於數十億行在真實雲端和自動化系統上運行的有效程式碼進行了微調。
可在任何平台上執行
提供一系列適合從筆記型電腦到伺服器等各種裝置規模的模型。
真正開放的授權
採用 Apache 2.0 協議，擁有完全的商業自由，針對任何使用案例進行了優化。
經大規模驗證
賦能即時系統中超過 1 億名真實使用者。
使用 Qwen LLM Models 可以做什麼
Atlas Cloud 為您提供業界領先的最新創意模型。
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())透過精準且具擴展性的回應，賦能企業級聊天機器人和虛擬代理
生成並除錯涵蓋全端語言的生產級程式碼
憑藉特定領域的專業理解，協助科學與技術研究
解決金融、物流、營運、法律和合規領域的複雜多步驟問題
自動生成海量內容，例如產品描述和行銷文案
針對法律、合規及受監管領域的工作流程，提供可直接用於審計的輸出結果
為何在 Atlas Cloud 使用 Qwen LLM Models
將先進的 Qwen LLM Models 模型與 Atlas Cloud 的 GPU 加速平台相結合，提供無與倫比的效能、可擴展性和開發體驗。
效能與靈活性
低延遲：
GPU 最佳化推理，實現即時回應。
統一 API：
一次整合，暢用 Qwen LLM Models、GPT、Gemini 和 DeepSeek。
透明定價：
按 Token 計費，支援 Serverless 模式。
企業與規模
開發者體驗：
SDK、資料分析、微調工具和模板一應俱全。
可靠性：
99.99% 可用性、RBAC 權限控制、合規日誌。
安全與合規：
SOC 2 Type II 認證、HIPAA 合規、美國資料主權。
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.
