Modele AI Alibaba / Qwen

An open-weight vision-language model listed for coding, research, multimodal interaction and agent tasks.

Kontekst

262K

Wejście

0,45 USD

Wyjście

3,2 USD

An open-weight coding model listed for coding agents and local development workflows.

Kontekst

262K

Wejście

0,12 USD

Wyjście

0,80 USD

Qwen Image 3 is a unified image generation and editing model from Qwen. It supports precise rendering of text and details as small as 10px, along with a richer world…

Kontekst

66K

Wejście

0,00 USD

Wyjście

0,00 USD

Qwen Image 3 Pro is an image generation and editing model from Qwen. It supports precise rendering of text and details as small as 10px, along with richer world knowledge…

Kontekst

66K

Wejście

0,00 USD

Wyjście

0,00 USD

Qwen Plus 0728, based on the Qwen3 foundation model, is a 1 million context hybrid reasoning model with a balanced performance, speed, and cost combination.

Kontekst

1M

Wejście

0,26 USD

Wyjście

0,78 USD

Qwen-Audio-3.0-TTS Flash is Alibaba's fast, cost-efficient text-to-speech model, generating spoken audio from text via the DashScope Speech Synthesizer API.

Kontekst

0

Wejście

15 USD

Wyjście

0,00 USD

Qwen-Audio-3.0-TTS Plus is Alibaba's higher-quality text-to-speech model, generating spoken audio from text via the DashScope Speech Synthesizer API.

Kontekst

0

Wejście

20 USD

Wyjście

0,00 USD

Over the past three months, we have continued to scale the **thinking capability** of Qwen3-30B-A3B, improving both the **quality and depth** of reasoning. We are pleased to introduce **Qwen3-30B-A3B-Thinking-2507**, featuring the following key enhancements:

Kontekst

82K

Wejście

0,20 USD

Wyjście

2,4 USD

The Qwen3-ASR family includes Qwen3-ASR-1.7B and Qwen3-ASR-0.6B, which support language identification and ASR for 52 languages and dialects. Both leverage large-scale speech training data and the strong audio understanding capability of their foundation model, Qwen3-Omni. Experiments show that the 1.7B version achieves state-of-the-art performance among open-source ASR models and is competitive with the strongest proprietary commercial APIs. Here are the main features:

Kontekst

0

Wejście

3,33 USD

Wyjście

0,00 USD

The Qwen3-ASR family includes Qwen3-ASR-1.7B and Qwen3-ASR-0.6B, which support language identification and ASR for 52 languages and dialects. Both leverage large-scale speech training data and the strong audio understanding capability of their foundation model, Qwen3-Omni. Experiments show that the 1.7B version achieves state-of-the-art performance among open-source ASR models and is competitive with the strongest proprietary commercial APIs. Here are the main features:

Kontekst

0

Wejście

7,5 USD

Wyjście

0,00 USD

Qwen3-ASR-Flash is Alibaba's automatic speech recognition service, built on the Qwen3-Omni foundation and trained on tens of millions of hours of multimodal speech data. The model handles 11 languages —…

Kontekst

0

Wejście

35 USD

Wyjście

0,00 USD

Qwen3 Coder Flash is Alibaba's fast and cost efficient version of their proprietary Qwen3 Coder Plus. It is a powerful coding agent model specializing in autonomous programming via tool calling…

Kontekst

1M

Wejście

0,195 USD

Wyjście

0,975 USD

Qwen3 Coder Plus is Alibaba's proprietary version of the Open Source Qwen3 Coder 480B A35B. It is a powerful coding agent model specializing in autonomous programming via tool calling and…

Kontekst

1M

Wejście

0,65 USD

Wyjście

3,25 USD

The Qwen3 Embedding model series is the latest proprietary model of the Qwen family, specifically designed for text embedding and ranking tasks. Building upon the dense foundational models of the Qwen3 series, it provides a comprehensive range of text embeddings and reranking models in various sizes (0.6B, 4B, and 8B). This series inherits the exceptional multilingual capabilities, long-text understanding, and reasoning skills of its foundational model. The Qwen3 Embedding series represents significant advancements in multiple text embedding and ranking tasks, including text retrieval, code retrieval, text classification, text clustering, and bitext mining.

Kontekst

33K

Wejście

0,02 USD

Wyjście

0,00 USD

The Qwen3 Embedding model series is the latest proprietary model of the Qwen family, specifically designed for text embedding and ranking tasks. Building upon the dense foundational models of the Qwen3 series, it provides a comprehensive range of text embeddings and reranking models in various sizes (0.6B, 4B, and 8B). This series inherits the exceptional multilingual capabilities, long-text understanding, and reasoning skills of its foundational model. The Qwen3 Embedding series represents significant advancements in multiple text embedding and ranking tasks, including text retrieval, code retrieval, text classification, text clustering, and bitext mining.

Kontekst

33K

Wejście

0,01 USD

Wyjście

0,00 USD

Qwen3-Max is an updated release built on the Qwen3 series, offering major improvements in reasoning, instruction following, multilingual support, and long-tail knowledge coverage compared to the January 2025 version. It…

Kontekst

262K

Wejście

0,78 USD

Wyjście

3,9 USD

Qwen3-Max-Thinking is the flagship reasoning model in the Qwen3 series, designed for high-stakes cognitive tasks that require deep, multi-step reasoning. By significantly scaling model capacity and reinforcement learning compute, it…

Kontekst

262K

Wejście

0,78 USD

Wyjście

3,9 USD

Over the past few months, we have observed increasingly clear trends toward scaling both total parameters and context lengths in the pursuit of more powerful and agentic artificial intelligence (AI). We are excited to share our latest advancements in addressing these demands, centered on improving scaling efficiency through innovative model architecture. We call this next-generation foundation models **Qwen3-Next**.

Kontekst

262K

Wejście

0,10 USD

Wyjście

1,1 USD

Over the past few months, we have observed increasingly clear trends toward scaling both total parameters and context lengths in the pursuit of more powerful and agentic artificial intelligence (AI). We are excited to share our latest advancements in addressing these demands, centered on improving scaling efficiency through innovative model architecture. We call this next-generation foundation models **Qwen3-Next**.

Kontekst

131K

Wejście

0,15 USD

Wyjście

1,2 USD

Qwen3 Reranker 8B is a text reranking model from Alibaba Cloud built on the Qwen3 architecture. It evaluates query-document pairs to produce relevance scores for use in retrieval and RAG…

Kontekst

41K

Wejście

0,00 USD

Wyjście

0,00 USD

Meet Qwen3-VL — the most powerful vision-language model in the Qwen series to date.

Kontekst

131K

Wejście

0,21 USD

Wyjście

1,9 USD

Meet Qwen3-VL — the most powerful vision-language model in the Qwen series to date.

Kontekst

131K

Wejście

0,40 USD

Wyjście

4 USD

Meet Qwen3-VL — the most powerful vision-language model in the Qwen series to date.

Kontekst

131K

Wejście

0,13 USD

Wyjście

0,52 USD

Meet Qwen3-VL — the most powerful vision-language model in the Qwen series to date.

Kontekst

131K

Wejście

0,20 USD

Wyjście

2,4 USD

Meet Qwen3-VL — the most powerful vision-language model in the Qwen series to date.

Kontekst

131K

Wejście

0,104 USD

Wyjście

0,416 USD

Meet Qwen3-VL — the most powerful vision-language model in the Qwen series to date.

Kontekst

131K

Wejście

0,117 USD

Wyjście

0,455 USD

Meet Qwen3-VL — the most powerful vision-language model in the Qwen series to date.

Kontekst

131K

Wejście

0,18 USD

Wyjście

2,1 USD

> [!Note] > This repository contains model weights and configuration files for the post-trained model in the Hugging Face Transformers format. > > These artifacts are compatible with Hugging Face Transformers, vLLM, SGLang, KTransformers, etc.

Kontekst

262K

Wejście

0,39 USD

Wyjście

2,34 USD

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. In a variety of…

Kontekst

1M

Wejście

0,26 USD

Wyjście

1,56 USD

Qwen3.5 Plus (April 2026) is a large-scale multimodal language model from Alibaba. It accepts text, image, and video input and produces text output, with a 1M token context window. This…

Kontekst

1M

Wejście

0,30 USD

Wyjście

1,8 USD

> [!Note] > This repository contains model weights and configuration files for the post-trained model in the Hugging Face Transformers format. > > These artifacts are compatible with Hugging Face Transformers, vLLM, SGLang, KTransformers, etc.

Kontekst

262K

Wejście

0,26 USD

Wyjście

2,08 USD

> [!Note] > This repository contains model weights and configuration files for the post-trained model in the Hugging Face Transformers format. > > These artifacts are compatible with Hugging Face Transformers, vLLM, SGLang, KTransformers, etc.

Kontekst

262K

Wejście

0,195 USD

Wyjście

1,56 USD

> [!Note] > This repository contains model weights and configuration files for the post-trained model in the Hugging Face Transformers format. > > These artifacts are compatible with Hugging Face Transformers, vLLM, SGLang, KTransformers, etc.

Kontekst

262K

Wejście

0,225 USD

Wyjście

1,8 USD

> [!Note] > This repository contains model weights and configuration files for the post-trained model in the Hugging Face Transformers format. > > These artifacts are compatible with Hugging Face Transformers, vLLM, SGLang, KTransformers, etc.

Kontekst

262K

Wejście

0,10 USD

Wyjście

0,15 USD

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. Compared to the…

Kontekst

1M

Wejście

0,065 USD

Wyjście

0,26 USD

> [!Note] > This repository contains model weights and configuration files for the post-trained model in the Hugging Face Transformers format. > > These artifacts are compatible with Hugging Face Transformers, vLLM, SGLang, KTransformers, etc.

Kontekst

262K

Wejście

0,60 USD

Wyjście

3,6 USD

> [!Note] > This repository contains model weights and configuration files for the post-trained model in the Hugging Face Transformers format. > > These artifacts are compatible with Hugging Face Transformers, vLLM, SGLang, KTransformers, etc.

Kontekst

262K

Wejście

0,14 USD

Wyjście

1 USD

Qwen3.6 Flash is a fast, efficient language model from Alibaba's Qwen 3.6 series. It supports text, image, and video input with a 1M token context window. Tiered pricing kicks in…

Kontekst

1M

Wejście

0,1875 USD

Wyjście

1,13 USD

Qwen3.6-Max-Preview is a proprietary frontier model from Alibaba Cloud built on a sparse mixture-of-experts architecture with approximately 1 trillion total parameters. It is optimized for agentic coding, tool use, and…

Kontekst

262K

Wejście

1,03 USD

Wyjście

6,16 USD

Qwen 3.6 Plus builds on a hybrid architecture that combines efficient linear attention with sparse mixture-of-experts routing, enabling strong scalability and high-performance inference. Compared to the 3.5 series, it delivers…

Kontekst

1M

Wejście

0,325 USD

Wyjście

1,95 USD

Qwen3.7 Flash is a vision-language reasoning model from Alibaba. It is suited for multimodal agents, visual coding, search, and computer interaction, with strengths in object recognition, spatial understanding, and real-world…

Kontekst

1M

Wejście

0,03 USD

Wyjście

0,13 USD

Qwen3.7-Max is the flagship model in Alibaba's Qwen3.7 series. It supports text input and output and is designed for agent-centric workloads, with particular strengths in coding, office and productivity tasks,…

Kontekst

1M

Wejście

1,48 USD

Wyjście

4,43 USD

Qwen3.7-Plus is a cost-effective model in Alibaba's Qwen3.7 series. It supports text and image input with text output, building on the series' text capabilities with a comprehensive upgrade to its…

Kontekst

1M

Wejście

0,32 USD

Wyjście

1,28 USD

> [!Note] > This repository contains model weights and configuration files for the post-trained model in the Hugging Face Transformers format. > > These artifacts are compatible with vLLM, SGLang, TokenSpeed, etc.

Kontekst

1M

Wejście

2 USD

Wyjście

6 USD

Qwen3.8 Max is the flagship model in Alibaba's Qwen3.8 series, the general-availability successor to the Qwen3.8 Max Preview. It is a multimodal reasoning model intended for complex reasoning, visual understanding,…

Kontekst

1M

Wejście

2 USD

Wyjście

6 USD