Qwen är en familj av stora språkmodeller (LLM) utvecklade av Alibaba Cloud, designade för kraftfull förståelse av naturligt språk och textgenerering. Qwen-modeller sträcker sig från lättviktiga till mycket storskaliga och stöder flerspråkiga funktioner, vilket gör dem lämpliga för chattbottar, innehållsskapande, kodningsassistans och resonemangsuppgifter. Qwen betonar tillgänglighet med öppen källkod, stark prestanda och flexibel distribution, vilket gör det möjligt för utvecklare och företag att bygga effektiva och kostnadseffektiva AI-applikationer för olika användningsfall.
Atlas Cloud förser dig med de senaste branschledande kreativa modellerna.
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.
Ingen beskrivning tillgänglig.
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 ger dig de senaste branschledande kreativa modellerna.

Tränad på faktiska globala arbetsflöden inom e-handel och företag från aktiva produktionsmiljöer.

Utvecklad med verkliga API:er för molntjänster och SaaS-verktyg som används dagligen av globala företag.

Finjusterad på miljarder rader fungerande kod som körs på riktiga moln- och automationssystem.

Erbjuder ett utbud av modeller anpassade för enheter från bärbara datorer till servrar.

Apache 2.0 med full kommersiell frihet, optimerad för alla användningsfall.

Driver över 100 miljoner verkliga användare i skarpa system.
Atlas Cloud ger dig de senaste branschledande kreativa modellerna.
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())Stärk företagschattbotar och virtuella agenter med exakta och skalbara svar
Generera och felsök produktionsfärdig kod i fullstack-språk
Stöd vetenskaplig och teknisk forskning med domänspecifik förståelse
Lös komplexa flerstegsproblem inom finans, logistik, drift, juridik och regelefterlevnad
Automatisera skapandet av stora mängder innehåll som produktbeskrivningar och marknadsföringstexter
Leverera revisionsklara resultat för arbetsflöden inom juridik, regelefterlevnad och reglerade sektorer
Att kombinera de avancerade Qwen LLM Models-modellerna med Atlas Clouds GPU-accelererade plattform ger oöverträffad prestanda, skalbarhet och utvecklarupplevelse.
Låg Latens:
GPU-optimerad inferens för realtidsresonemang.
Enhetligt API:
Kör Qwen LLM Models, GPT, Gemini och DeepSeek med en integration.
Transparent Prissättning:
Förutsägbar fakturering per token med serverlösa alternativ.
Utvecklarupplevelse:
SDK:er, analys, finjusteringsverktyg och mallar.
Tillförlitlighet:
99.99% drifttid, RBAC och efterlevnadsredo loggning.
Säkerhet & Efterlevnad:
SOC 2 Type II, HIPAA-anpassning, datasuveränitet i 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.