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1,000,000

+

Model Users

Scaling

In Seconds

99.9

%

Uptime

Ultra Low

Latency

Qwen3.6-Plus

The Qwen3.6 native vision-language Plus series models demonstrate exceptional performance on par with the current state-of-the-art models, with a significant improvement in overall results compared to the 3.5 series. The models have been markedly enhanced in code-related capabilities such as agentic coding, front-end programming, and Vibe coding, as well as in multi-modal general object recognition, OCR, and object localization.

ReasoningVUTG
Input: 0.05-2.5/M tokensOutput: 3-6/M tokens
1.0M
Context
65.5K
Max Out
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Q4_Market_Report.pdfScanning pages
Executive recap

Revenue grew 18% year-over-year, led by cloud infrastructure and AI services.

Customer retention remained above 93%, with enterprise expansion as the largest contributor.

Key risks include supply-chain volatility and slower recovery in overseas channels.

Document InsightSummarize this annual report...

Wan-T2V

Creates video sequences from text descriptions with smooth motion generation and cinematic aesthetics control. Features precise instruction adherence for frame-level artistic direction.

VG
0.1/second
300
RPM
5
Concurrency
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Qwen3.5-Open-Source

The Qwen3.5 series of open-source models is a native vision-language model designed with a hybrid architecture, integrating a linear attention mechanism and a sparse mixture-of-experts model to achieve higher inference efficiency.

ReasoningVUTGOpensource
Input: 0.3/M tokensOutput: 2.4/M tokens
262.1K
Context
65.5K
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CosyVoice

Based on a new generation of generative speech models, CosyVoice deeply integrates text understanding and speech generation technologies. It can accurately parse and interpret various text contents, converting them into natural speech like real people, bringing a highly humanized natural speech synthesis experience.

TTS
0.26/10,000 characters
180
RPM

Qwen3-Omni-Flash

Qwen3-Omni-Flash multimodal large-scale model, based on the Thinker–Talker Mixed Expert (MoE) architecture, supports efficient understanding and speech generation of text, images, audio, and video. It can interact with text in 119 languages ​​and speech in 20 languages, generating human-like speech for precise cross-lingual communication. The model boasts powerful command-following and system prompt customization capabilities, flexibly adapting to conversational styles and character settings. It is widely used in scenarios such as text creation, voice assistants, and multimedia analysis, providing a natural and smooth multimodal interaction experience.

Multimodal-Omni
Input: 0.43/M tokensOutput: 1.66/M tokens
60
RPM
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Our global leading position
recognized by analysts

Global Leader

Emerging Market Quadrants for Generative AI Model Providers

Global Leader

Omdia Market Radar: Global Enterprise-level MaaS 2025

Global Leader

Forrester Wave: AI Infrastructure Solutions Q4 2025

Why Qwen Cloud

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Enterprise-Grade Security

Isolated VPCs for every deployment with dedicated infrastructure.

Compliance

Global Compliance

150+ compliance certifications across the Asia-Pacific region

Guaranteed

Stable Performance

Guaranteed P95 first-packet latency for predictable, consistent inference.

Integrated

Integrated Toolchain

Model evaluation, rapid experimentation, and deployment monitoring in one suite.

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