Qwen

Qwen3.6 35B A3B

qwen/qwen3.6-35b-a3b

·Qwen

Qwen3.6 35B-A3B is a mixture-of-experts model with 35.9B total parameters and roughly 3B active per token, giving the quality of a large model at the speed of a much smaller one. It accepts text and image input, supports a 262K context window, and handles tool calling and structured output. Well suited to coding agents and long-context work where a whole repository or document set has to stay in the conversation.

Qwen3.8 27B

qwen/qwen3.8-27b

·Qwen

Qwen3.8 27B is a dense hybrid model — 48 Gated DeltaNet linear-attention layers and 16 gated full-attention layers — with native text, image and video input and a 262K context. Thinking is on by default with tunable reasoning effort, and it posts the family's strongest agentic scores to date (OSWorld-Verified 84.3, AndroidWorld 81.9). Built for computer-use and long-horizon agent work on a single GPU.

Qwen3 8B

qwen/qwen3-8b

·Qwen

Qwen3 8B is a dense instruction-tuned model with a hybrid thinking mode for switching between reasoning and direct answers. It offers strong general reasoning and multilingual performance for its size, with tool calling and a 32K context window. A sensible default for agent loops and high-volume tasks that do not need a frontier model.