Qwen ist eine Familie großer Sprachmodelle (LLMs), die von Alibaba Cloud entwickelt wurde und auf eine leistungsstarke Verarbeitung natürlicher Sprache sowie Textgenerierung ausgelegt ist. Die Qwen-Modelle reichen von leichten bis zu sehr großen Skalen und unterstützen mehrsprachige Fähigkeiten, wodurch sie sich für Chatbots, Inhaltserstellung, Programmierhilfe und logische Schlussfolgerungen eignen. Qwen legt Wert auf Open-Source-Verfügbarkeit, starke Leistung und flexible Bereitstellung, was Entwicklern und Unternehmen ermöglicht, effiziente und kostengünstige KI-Anwendungen für diverse Anwendungsfälle zu erstellen.
Atlas Cloud bietet Ihnen die neuesten branchenführenden kreativen Modelle.
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.
Keine Beschreibung verfügbar.
Qwen's latest and most powerful open-source model.
Qwen's latest and most powerful open-source model.
Qwen's latest and most powerful open-source model.
The latest Qwen reasoning model.
The latest Qwen reasoning model.
The latest Qwen reasoning model.
The latest Qwen reasoning model.
The latest Qwen reasoning model.
The latest Qwen model.
The latest Qwen reasoning model.
Qwen3-Coder is the code version of Qwen3.
235B-parameter MoE thinking model in Qwen3 series.
Atlas Cloud bietet Ihnen die neuesten branchenführenden kreativen Modelle.

Trainiert mit tatsächlichen globalen E-Commerce- und Unternehmens-Workflows aus Live-Produktionsumgebungen.

Entwickelt mit echten Cloud-Dienst-APIs und SaaS-Tools, die täglich von globalen Unternehmen genutzt werden.

Feingetunt auf Milliarden von Zeilen funktionierenden Codes, der auf echten Cloud- und Automatisierungssystemen läuft.

Bietet eine Reihe von Modellen, die für Geräte von Laptops bis hin zu Servern skaliert sind.

Apache 2.0 mit voller kommerzieller Freiheit, optimiert für jeden Anwendungsfall.

Unterstützung von über 100 Millionen echten Nutzern in Live-Systemen.
Atlas Cloud bietet Ihnen die neuesten branchenführenden kreativen Modelle.
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())Stärken Sie Unternehmens-Chatbots und virtuelle Agenten mit präzisen, skalierbaren Antworten
Generieren und debuggen Sie produktionsreifen Code in allen Full-Stack-Sprachen
Unterstützen Sie wissenschaftliche und technische Forschung mit domänenspezifischem Verständnis
Lösen Sie komplexe, mehrstufige Probleme in den Bereichen Finanzen, Logistik, Betrieb, Recht und Compliance
Automatisieren Sie die Erstellung großer Content-Mengen wie Produktbeschreibungen und Marketingtexte
Erstellen Sie prüfungssichere Ergebnisse für Arbeitsabläufe in den Bereichen Recht, Compliance und regulierte Branchen
Die Kombination der fortschrittlichen Qwen LLM Models-Modelle mit der GPU-beschleunigten Plattform von Atlas Cloud bietet unübertroffene Leistung, Skalierbarkeit und Entwicklererfahrung.
Niedrige Latenz:
GPU-optimierte Inferenz für Echtzeit-Reasoning.
Einheitliche API:
Führen Sie Qwen LLM Models, GPT, Gemini und DeepSeek mit einer Integration aus.
Transparente Preisgestaltung:
Vorhersehbare Token-basierte Abrechnung mit serverlosen Optionen.
Entwicklererfahrung:
SDKs, Analysen, Fine-Tuning-Tools und Vorlagen.
Zuverlässigkeit:
99,99% Verfügbarkeit, RBAC und compliance-bereite Protokollierung.
Sicherheit & Compliance:
SOC 2 Type II, HIPAA-Ausrichtung, Datensouveränität in den USA.
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 (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 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 (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.
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.
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 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 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.
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.
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 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.
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.