Alle Modelle

Qwen KI-Modelle

Alibaba Cloud's model team. Builds the Qwen series covering text, vision, code, and audio.

Gegründet2023Hangzhou, China11 ModelleWebsite →
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Qwen3.5-Flash

Qwen

The Qwen3.5 native vision-language Flash models are built on a hybrid architecture that integrates a linear attention mechanism with a sparse mixture-of-experts model, achieving higher inference efficiency.

Kontext1.0M
Geschwindigkeit310 tok/s
EingabeText, Image, Video
AusgabeText
ReasoningJa
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Qwen3.5 397B A17B

Qwen

The Qwen3.5 series 397B-A17B native vision-language model is built on a hybrid architecture that integrates a linear attention mechanism with a sparse mixture-of-experts model, achieving higher inference efficiency.

Kontext262K
Geschwindigkeit52 tok/s
EingabeText, Image, Video
AusgabeText
ReasoningJa
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Qwen3.5 Plus

Qwen

The Qwen3.5 native vision-language series Plus models are built on a hybrid architecture that integrates linear attention mechanisms with sparse mixture-of-experts models, achieving higher inference efficiency.

Kontext1.0M
Geschwindigkeit45 tok/s
EingabeText, Image, Video
AusgabeText
ReasoningJa
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Qwen3.5-9B

Qwen

Qwen3.5-9B is a multimodal foundation model from the Qwen3.5 family, designed to deliver strong reasoning, coding, and visual understanding in an efficient 9B-parameter architecture.

Kontext256K
Geschwindigkeit178 tok/s
EingabeText, Image, Video
AusgabeText
ReasoningJa
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Qwen3.5-35B-A3B

Qwen

The Qwen3.5 Series 35B-A3B is a native vision-language model designed with a hybrid architecture that integrates linear attention mechanisms and a sparse mixture-of-experts model, achieving higher inference efficiency.

Kontext262K
Geschwindigkeit146 tok/s
EingabeText, Image, Video
AusgabeText
ReasoningJa
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Qwen3 Coder Next

Qwen

Qwen3-Coder-Next is an open-weight causal language model optimized for coding agents and local development workflows.

Kontext262K
Geschwindigkeit168 tok/s
EingabeText
AusgabeText
ReasoningNein
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Qwen3.5-27B

Qwen

The Qwen3.5 27B native vision-language Dense model incorporates a linear attention mechanism, delivering fast response times while balancing inference speed and performance.

Kontext262K
Geschwindigkeit284 tok/s
EingabeText, Image, Video
AusgabeText
ReasoningJa
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Qwen3.5-122B-A10B

Qwen

The Qwen3.5 122B-A10B native vision-language model is built on a hybrid architecture that integrates a linear attention mechanism with a sparse mixture-of-experts model, achieving higher inference efficiency.

Kontext262K
Geschwindigkeit151 tok/s
EingabeText, Image, Video
AusgabeText
ReasoningJa
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Qwen3 VL 32B Instruct

Qwen

Qwen3-VL-32B-Instruct is a large-scale multimodal vision-language model designed for high-precision understanding and reasoning across text, images, and video.

Kontext131K
Geschwindigkeit108 tok/s
EingabeText, Image
AusgabeText
ReasoningNein
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Qwen3 Max Thinking

Qwen

Qwen3-Max-Thinking is the flagship reasoning model in the Qwen3 series, designed for high-stakes cognitive tasks that require deep, multi-step reasoning.

Kontext262K
Geschwindigkeit44 tok/s
EingabeText
AusgabeText
ReasoningJa
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Qwen3 VL 8B Thinking

Qwen

Qwen3-VL-8B-Thinking is the reasoning-optimized variant of the Qwen3-VL-8B multimodal model, designed for advanced visual and textual reasoning across complex scenes, documents, and temporal sequences.

Kontext131K
Geschwindigkeit145 tok/s
EingabeImage, Text
AusgabeText
ReasoningJa
Kundensupport