Qwen LLM Models

Qwen è una famiglia di modelli linguistici di grandi dimensioni (LLM) sviluppata da Alibaba Cloud, progettata per una potente comprensione del linguaggio naturale e la generazione di testi. I modelli Qwen spaziano da scale leggere a molto grandi e supportano capacità multilingue, rendendoli adatti per chatbot, creazione di contenuti, assistenza alla programmazione e compiti di ragionamento. Qwen enfatizza la disponibilità open source, le prestazioni elevate e la flessibilità di implementazione, consentendo a sviluppatori e imprese di costruire applicazioni di IA efficienti ed economiche in diversi casi d'uso.

Explore the Leading Qwen LLM Models

Atlas Cloud ti fornisce i più recenti modelli creativi leader del settore.

NEW
Qwen3 Max 20260123

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.

LLM

Qwen3 Max 20260123

252.0K CONTEXT:
Input type:
Output type:
Context:252.00K
Input:$1.2/M tokens
Output:$6/M tokens
Max Output:32.00K
$1.2/6M in/out
HOT
Qwen3-VL-235B-A22B-Instruct

No description available.

LLM

Qwen3-VL-235B-A22B-Instruct

131.1K CONTEXT:
Input type:
Output type:
Context:131.07K
Input:$0.3/M tokens
Output:$1.5/M tokens
Max Output:32.77K
$0.3/1.5M in/out
NEW
Qwen3 30B A3B Instruct 2507

Qwen's latest and most powerful open-source model.

LLM

Qwen3 30B A3B Instruct 2507

131.1K CONTEXT:
Input type:
Output type:
Context:131.07K
Input:$0.1/M tokens
Output:$0.3/M tokens
Max Output:131.07K
$0.1/0.3M in/out
NEW
HOT
Qwen3 Next 80B A3B Thinking

Qwen's latest and most powerful open-source model.

LLM

Qwen3 Next 80B A3B Thinking

262.1K CONTEXT:
Input type:
Output type:
Context:262.14K
Input:$0.15/M tokens
Output:$1.5/M tokens
Max Output:262.14K
$0.15/1.5M in/out
NEW
HOT
Qwen3 Next 80B A3B Instruct

Qwen's latest and most powerful open-source model.

LLM

Qwen3 Next 80B A3B Instruct

262.1K CONTEXT:
Input type:
Output type:
Context:262.14K
Input:$0.15/M tokens
Output:$1.5/M tokens
Max Output:32.77K
$0.15/1.5M in/out
Qwen3 8B

The latest Qwen reasoning model.

LLM

Qwen3 8B

32.0K CONTEXT:
Input type:
Output type:
Context:32.00K
Input:$0.05/M tokens
Output:$0.4/M tokens
Max Output:8.19K
$0.05/0.4M in/out
Qwen3 235B A22B Thinking 2507

The latest Qwen reasoning model.

LLM

Qwen3 235B A22B Thinking 2507

128.0K CONTEXT:
Input type:
Output type:
Context:128.00K
Input:$0.28/M tokens
Output:$2.3/M tokens
Max Output:32.77K
$0.28/2.3M in/out
Qwen3 VL 235B A22B Thinking

The latest Qwen reasoning model.

LLM

Qwen3 VL 235B A22B Thinking

128.0K CONTEXT:
Input type:
Output type:
Context:128.00K
Input:$0.5/M tokens
Output:$2.5/M tokens
Max Output:32.77K
$0.5/2.5M in/out
Qwen3 30B A3B

The latest Qwen reasoning model.

LLM

Qwen3 30B A3B

41.0K CONTEXT:
Input type:
Output type:
Context:40.96K
Input:$0.08/M tokens
Output:$1.25/M tokens
Max Output:32.77K
$0.08/1.25M in/out
Qwen3 30B A3B Thinking 2507

The latest Qwen reasoning model.

LLM

Qwen3 30B A3B Thinking 2507

128.0K CONTEXT:
Input type:
Output type:
Context:128.00K
Input:$0.08/M tokens
Output:$0.4/M tokens
Max Output:32.77K
$0.08/0.4M in/out
Qwen2.5 7B Instruct

The latest Qwen model.

LLM

Qwen2.5 7B Instruct

128.0K CONTEXT:
Input type:
Output type:
Context:128.00K
Input:$0.04/M tokens
Output:$0.1/M tokens
Max Output:8.19K
$0.04/0.1M in/out
NEW
Qwen3 32B

The latest Qwen reasoning model.

LLM

Qwen3 32B

41.0K CONTEXT:
Input type:
Output type:
Context:40.96K
Input:$0.1/M tokens
Output:$1.2/M tokens
Max Output:40.96K
$0.1/1.2M in/out
NEW
HOT
Qwen3 Coder

Qwen3-Coder is the code version of Qwen3.

LLM

Qwen3 Coder

262.1K CONTEXT:
Input type:
Output type:
Context:262.14K
Input:$0.78/M tokens
Output:$3.8/M tokens
Max Output:65.54K
$0.78/3.8M in/out
NEW
HOT
Qwen3-235B-A22B-Instruct-2507

235B-parameter MoE thinking model in Qwen3 series.

LLM

Qwen3-235B-A22B-Instruct-2507

131.1K CONTEXT:
Input type:
Output type:
Context:131.07K
Input:$0.2/M tokens
Output:$0.88/M tokens
Max Output:32.77K
$0.2/0.88M in/out

Cosa Rende Speciale Qwen LLM Models

Atlas Cloud ti fornisce i più recenti modelli creativi leader del settore.

DNA del Commercio Reale

Addestrato su flussi di lavoro reali di e-commerce globale e aziendali provenienti da ambienti di produzione attivi.

Costruito per la produzione

Sviluppato con API di servizi cloud reali e strumenti SaaS utilizzati quotidianamente dalle aziende globali.

Scrive codice pronto per la produzione

Affinato su miliardi di righe di codice funzionante eseguito su veri sistemi cloud e di automazione.

Eseguibile su qualsiasi piattaforma

Offre una gamma di modelli dimensionati per dispositivi che vanno dai laptop ai server.

Licenza veramente aperta

Apache 2.0 con piena libertà commerciale, ottimizzato per qualsiasi caso d'uso.

Comprovato su larga scala

Alimenta oltre 100 milioni di utenti reali su sistemi attivi.

Cosa Puoi Fare con Qwen LLM Models

Atlas Cloud ti fornisce i più recenti modelli creativi leader del settore.

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())

Potenzia i chatbot e gli agenti virtuali aziendali con risposte precise e scalabili

Genera ed esegui il debug di codice pronto per la produzione in linguaggi full-stack

Supporta la ricerca scientifica e tecnica con una comprensione specifica del settore

Risolvi problemi complessi a più fasi nei settori finanza, logistica, operazioni, legale e compliance

Automatizza la creazione di grandi volumi di contenuti come descrizioni dei prodotti e testi di marketing

Fornisci output pronti per l'audit per flussi di lavoro legali, di conformità e settori regolamentati

Why Use Qwen LLM Models on Atlas Cloud

Combining the advanced Qwen LLM Models models with Atlas Cloud's GPU-accelerated platform provides unmatched performance, scalability, and developer experience.

Performance & flexibility

Low Latency:
GPU-optimized inference for real-time reasoning.

Unified API:
Run Qwen LLM Models, GPT, Gemini, and DeepSeek with one integration.

Transparent Pricing:
Predictable per-token billing with serverless options.

Enterprise & Scale

Developer Experience:
SDKs, analytics, fine-tuning tools, and templates.

Reliability:
99.99% uptime, RBAC, and compliance-ready logging.

Security & Compliance:
SOC 2 Type II, HIPAA alignment, data sovereignty in US.

Explore More Families

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.

View Family

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.

View Family

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.

View Family

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.

View Family

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.

View Family

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.

View Family

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.

View Family

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.

View Family

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.

View Family

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.

View Family

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.

View Family

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.

View Family

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.

View Family

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.

View Family

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.

View Family

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.

View Family

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.

View Family

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.

View Family

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.

View Family

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.

View Family

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.

View Family

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.

View Family

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.

View Family

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.

View Family