Qwen

Qwen 2.5 Coder 0.5B is Qwen's open-weight small text model tuned for code generation and fixing. It takes text in and returns text out, and runs on a user's own paired machine with Ollama.

Qwen3.5-122B-A10B is Qwen's open-weight native vision-language model with a hybrid architecture. It combines linear attention with a sparse mixture-of-experts, takes text, image and video input.

Qwen3.5-35B-A3B is Qwen's open-weight native vision-language model with a hybrid of linear attention and a sparse mixture-of-experts. It takes text, image and video input, has a 262,144-token context window and supports reasoning.

Qwen3 Coder Next is Qwen's open-weight causal language model for coding agents and local development workflows. It has a 262,144-token context window and supports function calling and streaming.

Qwen3 VL 30B A3B Instruct is Qwen's open-weight multimodal model that combines text generation with visual understanding of images and videos. It targets instruction following and supports function calling.

Qwen3 VL 235B A22B Instruct is Qwen's open-weight multimodal model that combines text generation with visual understanding of images and video. It has a 262,144-token context window and supports function calling.

Qwen3 Next 80B A3B Instruct is an open-weight, instruction-tuned chat model in Qwen's Qwen3-Next series, built for fast, stable responses without thinking traces. It has a 262,144-token context window and supports function calling and streaming.

Qwen3 30B A3B Instruct 2507 is Qwen's open-weight 30.5B-parameter mixture-of-experts language model with 3.3B active parameters per inference. It has a 262,144-token context window and supports function calling and streaming.

Qwen3 235B A22B Thinking 2507 is Qwen's open-weight Mixture-of-Experts model tuned for complex reasoning, with a 128,000-token context window. It supports function calling and streaming, and takes text in and returns text out.

Qwen3 Coder 480B A35B is Qwen's Mixture-of-Experts code generation model with 480B total and 35B active parameters. It has a 262,144-token context window and supports function calling and streaming.

Qwen2.5 VL 72B Instruct is Qwen's open-weight 72B vision-language model. It takes text and images and answers in text, and reads charts, icons, graphics and page layouts.

Qwen2.5 7B Instruct is Qwen's 7B text model for chat, with a 32,768-token context window. It supports streaming and function calling, and takes text in and returns text out.

Qwen3.6 Flash is the fast, low-cost native vision-language model of Alibaba's Qwen3.6 series on Model Studio. It improves on Qwen3.5 Flash in agentic coding, math and code reasoning, spatial understanding and object localization.

Qwen3.5 Flash is the fast, low-cost native vision-language model of Alibaba's Qwen3.5 series on Model Studio. It accepts text, image and video input and supports a 1M token context window.

Qwen3 VL Plus is the higher-accuracy vision-language model of Alibaba's Qwen3-VL series on Model Studio. It reads images, charts and documents and answers in text, with a 256K token context window.

Qwen Plus is Alibaba Cloud's balanced general-purpose Qwen text model on Model Studio. It covers text understanding, generation and reasoning at a moderate price, with tiered pricing by input length.

Qwen Flash is Alibaba Cloud's fast Qwen3-series text model on Model Studio, with thinking and non-thinking modes in one model. It supports a 1M token context window and tiered pricing by input length.

Qwen3 Coder Flash is the fast coding model of Alibaba's Qwen3-Coder family on Model Studio. It trades some depth for speed in code completion and agentic coding tools.

Qwen3 Coder 480B A35B is Qwen's open-weight coding model with 480B total and 35B active parameters. It targets agentic coding, tool calling and repository-scale work, with a native 262K context window under Apache-2.0.

Qwen3.8 Max Prime is a higher-throughput variant of Qwen3.8 Max from Alibaba's Qwen team. It takes text, image and video input and supports reasoning and function calling.

Qwen2.5-VL 7B Instruct is Qwen's open-weight 7B vision-language chat model. It takes images and text as input and answers in text, with streaming support.

Qwen3 Embedding 4B is the open-weight 4B size in the Qwen3 embedding and reranking family. It embeds text over a 32,768-token window at 2,560 dimensions, and supports 100+ languages and Matryoshka truncation from 32 to 2,560 dimensions.

Qwen3 235B A22B (Instruct 2507) is Qwen's open-weight, non-thinking Mixture-of-Experts model with 235B total and 22B active parameters. It is licensed Apache-2.0 and covers 119 languages and dialects, coding and tool use.

Qwen3.8 Omni Flash is Alibaba Cloud Qwen's native multimodal model for text, image, audio and video input at 1M context. It is built for agentic programming, knowledge work, GUI operation and audio and video workflows.

Qwen3.8 Flash is Alibaba Qwen's native vision-language model for coding, office work, long-context reasoning and agents. It has a 1M context window, takes text, image and video input, and supports thinking and function calling.

Qwen3.8-27B is Alibaba's open-weight dense Qwen3.8 model for agentic coding and complex reasoning, with a native thinking mode. It targets multi-step agent work and large coding tasks.

Qwen3.8 2.4T A95B is Qwen's sparse mixture-of-experts model, the open-weight variant of Qwen3.8 Max. It has 95 billion active of 2.4 trillion total parameters.

Qwen3.8 Max is Alibaba's flagship 2.4-trillion parameter MoE model of the Qwen3.8 generation. It takes text, image and video input, has a 1 million token context window, and supports reasoning, coding and tool use.

Qwen3.5-27B is Alibaba's largest open-weight dense Qwen3.5 model. It has a thinking mode, tool calling, multi-token prediction and 201 languages, with text, image and video input.

Qwen3.5-9B is an open-weight model from Alibaba's Qwen3.5 series with a hybrid Gated Delta Networks and sparse MoE architecture. It has a thinking mode, tool calling and 201 languages.

Qwen3.7 Flash is Alibaba's fast vision-language reasoning model for multimodal agents. It suits visual coding, search and computer interaction, with strengths in object recognition, spatial understanding and real-world visual perception.

Qwen2.5-72B-Instruct is Alibaba Qwen's open-weight 72.7B-parameter general chat model. It is stronger at coding and maths than Qwen2, supports 29+ languages and handles function calling.

Qwen3-14B is an open-weight 14.8B-parameter dense model from Alibaba Qwen that balances quality and latency. It supports reasoning, function calling, 100+ languages and dialects, instruction following and translation.

Qwen3-8B is Alibaba Qwen's open-weight small dense model with 8B parameters. It is fast and efficient, supports reasoning, and suits lightweight chat and tool use.

Qwen3.7 Max is Alibaba's flagship max-tier model of the Qwen3.7 generation. It takes text and image input, has a 1 million token context window, and supports reasoning, coding and tool use.

Qwen3.6 Plus is Alibaba's plus-tier multimodal model of the Qwen3.6 generation. It takes text and image input, has a 1 million token context window, and supports reasoning, coding and tool use.

Qwen3.5 Plus is Alibaba's mid-tier "plus" model from the Qwen3.5 generation, with a 256K context window and strong reasoning, coding, and tool use.

Qwen3.7 Plus is Alibaba's advanced multimodal model with text and image input. It has a 1 million token context window and strong reasoning capabilities.

Qwen 3.5 397B A17B is Alibaba's open-weight mixture-of-experts model with 397B total and 17B active parameters. It supports reasoning and function calling, and takes text, image and video input.

Qwen3 Embedding 8B is Qwen's open-weight 8B text embedding model with a 32,768-token context window. It takes text in and returns embedding vectors.

Qwen 2.5 Coder 32B is Alibaba's open-weight specialized coding model with 32B parameters. It targets code generation, completion and debugging across 92 programming languages, with function calling and streaming.