Qwen3.6 35B A3B TEE

Qwen3.8 27B TEE

Qwen3.8 27B is an open-weight dense vision-language model from Alibaba for reasoning, coding, professional workflows, multimodal interaction, tool use, and structured output. Running inside a TEE (Trusted Execution Environment), with provider attestation support.

Qwen3.6 27B TEE

Qwen3.6 27B is a dense language model from Alibaba's Qwen team with text and image input, configurable thinking/reasoning behavior, and a native 262K context window. Running inside a TEE (Trusted Execution Environment), with provider attestation support.

Qwen3.5 27B TEE

Qwen3.5 27B is a native vision-language dense model optimized for fast responses while balancing quality and inference speed. Running inside a TEE (Trusted Execution Environment), with provider attestation support.

Qwen3.5 397B A17B TEE

Qwen 3.5's open-source 397B MoE model (17B active params) with hybrid linear attention. Running inside a TEE (Trusted Execution Environment), with provider attestation support.

Qwen2.5 VL 72B TEE

Qwen2.5 Vision-Language 72B model with multimodal capabilities. Running inside a TEE (Trusted Execution Environment), with provider attestation support.

Qwen3.6 35B A3B Thinking

Qwen3.6 35B A3B is a native vision-language MoE model with hybrid attention. Compared to Qwen3.5 35B A3B, Alibaba reports stronger agentic coding, mathematical and code reasoning, and better spatial understanding (including object localization and detection).