Qwen

Qwen 3.7 Max is the largest model in the Qwen 3.7 series, with deep thinking, function calling, prompt caching, and multimodal input support for images and video. It excels at programming, office and productivity tasks, and long-running autonomous agent workflows.

Qwen 2.5 7B Instruct running in a Trusted Execution Environment (TEE). A compact model with strong coding, math, and multilingual capabilities supporting 29+ languages, with hardware attestation evidence available for independent verification.

Qwen3.5-397B-A17B is a multimodal Mixture-of-Experts model from Alibaba's Qwen team, with 397B total parameters and 17B active per token. It takes text, image and video input and produces text, with a 262K-token native context window (extendable to about 1M), a default thinking mode, tool calling and support for 201 languages and dialects.

Qwen's dense 27B vision-language model supports reasoning, coding and tool-driven tasks.

HauhauCS's Aggressive adaptation of Qwen3.8-27B retains text and visual capabilities while modifying refusal behavior.

Qwen3 32B is a dense 32.8B-parameter model in the Qwen3 family from Alibaba's Qwen team, released in April 2025. It switches between a thinking mode for complex reasoning and a fast non-thinking mode, supports 119 languages, and has a native 32K-token context window (131K with YaRN).

Qwen 3 235B A22B Instruct 2507 is the July 2025 update of Alibaba's Qwen3 Mixture-of-Experts model, with 235B total and 22B active parameters. This variant runs in non-thinking mode only, answering directly without reasoning blocks, and has a native 262K-token context window.

Qwen 3 235B A22B Thinking 2507 is the July 2025 update of Alibaba's Qwen3 Mixture-of-Experts model, with 235B total and 22B active parameters. This variant always thinks before answering, for complex reasoning tasks, and has a native 262K-token context window.

Qwen 3 Coder 480B Turbo is a faster serving variant of Qwen3 Coder 480B A35B Instruct, Alibaba's Qwen team's Mixture-of-Experts coding model with 480B total and 35B active parameters. The model has a native 262K-token context window and is built for agentic coding, tool calling and repository-scale work.

Qwen 3 Next 80B is a Mixture-of-Experts model from Alibaba's Qwen team with 80B total and 3B active parameters, using hybrid Gated DeltaNet and gated attention layers with multi-token prediction for efficient long-context work. It takes text input and output with a native 262K-token context window.

Qwen 3.6 35B A3B is a fast mixture-of-experts model with 35B total parameters and ~3B active per token. Strong at agentic coding, STEM reasoning, and tool use, with a native 256K context window.

Qwen 3.8 2.4T is Alibaba's open-weight 2.4-trillion-parameter MoE model (95B active), with major gains in software engineering, research, and long-horizon agentic tasks. It is text-only, requires thinking mode, and supports a 262K-token context window.

Qwen 3.8 27B is an open-weight dense model from Alibaba's Qwen team with 27B parameters and a vision encoder, using hybrid Gated DeltaNet and gated attention layers. It takes text, image and video input with a native 262K-token context window and is built for coding, professional and research work, and long-horizon agentic tasks, with adjustable thinking effort.

Qwen3-VL 235B A22B Instruct is Alibaba's Qwen vision-language Mixture-of-Experts model with about 236B total and 22B active parameters. It takes image, video and text input and produces text, with a native 256K-token context, OCR in 32 languages, GUI agent abilities and long-video understanding.

Qwen3.5-35B-A3B is an efficient Mixture-of-Experts model from Alibaba's Qwen3.5 series with 35B total parameters and only 3B activated per token. It features a 262K token context window (extensible to 1M with YaRN), thinking/reasoning mode, tool calling, and support for 201 languages. Delivers strong performance on reasoning, coding, and vision-language tasks at a fraction of the compute cost.

Qwen3.5-9B is a high-performance model from Alibaba's Qwen3.5 series with a hybrid Gated Delta Networks and sparse MoE architecture. It features a 262K token context window, thinking/reasoning mode, tool calling, multi-token prediction, and support for 201 languages. Excels at reasoning, coding, instruction following, and long-context tasks.

Qwen2.5 is a model pretrained on a large-scale dataset of up to 18 trillion tokens, offering significant improvements in knowledge, coding, mathematics, and instruction following compared to its predecessor Qwen2. The model also features enhanced capabilities in generating long texts, understanding structured data, and generating structured outputs, while supporting multilingual capabilities for over 29 languages.

Qwen3 14B is a dense 14.8B-parameter model in the Qwen3 family from Alibaba's Qwen team, released in April 2025. It switches between a thinking mode for complex reasoning and a fast non-thinking mode, supports 119 languages, and has a native 32K-token context window (131K with YaRN).

Qwen3 30B A3B is a Mixture-of-Experts model in the Qwen3 family with 30.5B total and 3.3B active parameters from Alibaba's Qwen team, released in April 2025. It switches between a thinking mode for complex reasoning and a fast non-thinking mode, supports 119 languages, and has a native 32K-token context window (131K with YaRN).

Qwen3 VL 30B A3B Instruct is a Mixture-of-Experts vision-language model from Alibaba's Qwen team. It takes text, image and video input and produces text with a native 256K-token context window, and handles visual agent tasks, visual coding, 2D and 3D grounding, long video understanding and OCR in 32 languages.

Qwen3.5-27B is Alibaba's largest dense Qwen3.5 model, delivering near-frontier quality across reasoning, coding, and instruction following. It features a 262K token context window (extensible to 1M), thinking/reasoning mode, tool calling, multi-token prediction, and support for 201 languages. Best suited for production deployments and complex enterprise tasks requiring top-tier performance.

Qwen 3.6 Plus Uncensored is an uncensored variant of Qwen3.6 Plus, the vision-language Plus model from Alibaba's Qwen team. The base model accepts text, image and video input with a 1M-token context window and supports switchable thinking and function calling.

Qwen 3.7 Plus is a multimodal agent model from Alibaba's Qwen team, built on the Qwen3.7 text model and able to operate graphical interfaces and the command line. It accepts text, image and video input with a 1M-token context window and supports switchable thinking and function calling.

Qwen 3.8 Flash is an efficient multimodal model from Alibaba's Qwen team, built on the open-weight Qwen3.8 Flash Next Mixture-of-Experts model with 125B total and 6B active parameters. It accepts text, image and video input with a 1M-token context window, supports function calling and structured output, and has a thinking mode that can be turned off.

Qwen 3.8 Max is Alibaba's flagship 2.4-trillion-parameter MoE model, with major gains over Qwen 3.7 Max in software engineering and office-productivity workflows and strong long-horizon, multi-agent performance. It accepts both text and vision-language input (images and video), operates in thinking mode only, and supports a 1M-token context window.

Free access to Qwen3 30B A3B on limited shared capacity. Anonymous route; account opt-in required.

Qwen 3.8 2.4T is Alibaba's open-weight 2.4-trillion-parameter MoE model (95B active), with major gains in software engineering, research, and long-horizon agentic tasks. It is text-only, requires thinking mode, and supports a 262K-token context window.

Qwen 3 Coder 480B Turbo is a faster serving variant of Qwen3 Coder 480B A35B Instruct, Alibaba's Qwen team's Mixture-of-Experts coding model with 480B total and 35B active parameters. The model has a native 262K-token context window and is built for agentic coding, tool calling and repository-scale work.

Qwen3-TTS 0.6B is the smaller text-to-speech model in Alibaba's Qwen team's Qwen3-TTS series, built on a multi-codebook language model with a 12Hz speech tokenizer. It speaks 10 languages including Chinese, English, Japanese and Spanish, supports streaming output, and balances quality with efficiency, with variants for preset voices and 3-second voice cloning.

Qwen3-TTS 1.7B is the larger text-to-speech model in Alibaba's Qwen team's Qwen3-TTS series, built on a multi-codebook language model with a 12Hz speech tokenizer. It speaks 10 languages including Chinese, English, Japanese and Spanish, supports streaming output and instruction-based style control, with variants for preset voices, voice design from a text description and 3-second voice cloning.

Qwen3 Embedding 0.6B is the smallest text embedding model in Alibaba's Qwen team's Qwen3 Embedding series, with 28 layers and a 32K-token context. It supports more than 100 natural and programming languages, takes optional task instructions, and produces embeddings of up to 1,024 dimensions that can be set to a smaller size.

Qwen3 Embedding 8B is the largest text embedding model in Alibaba's Qwen team's Qwen3 Embedding series, with 36 layers and a 32K-token context. It supports more than 100 natural and programming languages, takes optional task instructions, and produces embeddings of up to 4,096 dimensions that can be set anywhere from 32 to 4,096.

Qwen-Image is a 20B-parameter open-weight MMDiT image foundation model from Alibaba's Qwen team, released under Apache 2.0. It generates images from a text prompt across many styles, with particular strength in rendering complex text, including Chinese.

Qwen-Image-2.0 is an image model from Alibaba's Qwen team that unifies generation and editing in one smaller, faster model, with instructions up to 1K tokens for infographics and native 2K resolution. This variant generates images from a text prompt.

Qwen-Image-2.0 Pro is the Pro tier of Qwen-Image-2.0, an image model from Alibaba's Qwen team that unifies generation and editing. It accepts instructions up to 1K tokens for infographics and has native 2K resolution. This variant generates images from a text prompt.

Qwen-Image-2.1 Pro is the Pro tier of Qwen-Image-2.1, a 7B-parameter unified text-to-image and image editing model from Alibaba's Qwen team. It supports native transparent (RGBA) output, up to 10 reference images and 2K resolution. This variant generates images from a text prompt.

Qwen-Image-2.1 Turbo is an accelerated 8-step checkpoint of Qwen-Image-2.1, a 7B-parameter unified text-to-image and image editing model from Alibaba's Qwen team. It supports native transparent (RGBA) output, up to 10 reference images and 2K resolution. This variant generates images from a text prompt.

Qwen-Image-3.0 is the third-generation image model from Alibaba's Qwen team, built for dense layouts such as infographics, newspapers and storyboards. It accepts prompts up to 4.5k tokens and renders text as small as 10px, with native text in 12 languages. This standard tier is a faster version of Qwen-Image-3.0 Pro. This variant generates images from a text prompt.