4 new Qwen models for multimodal reasoning, agentic coding, and multilingual applications are now available in Amazon SageMaker JumpStart

Today, we are excited to announce the availability of four new Qwen models in Amazon SageMaker JumpStart: Qwen3.5-27B-FP8, Qwen3.6-35B-A3B, Qwen3.5-0.8B, and Qwen3.5-2B.

These models address different AI application needs with specialized capabilities:

• Qwen3.5-27B-FP8 – A multimodal vision-language model for reasoning over images, video, and text. Designed for applications such as agentic tool use, coding assistance, complex mathematical reasoning, multilingual communication in over 200 languages, and long-context processing with support for up to 1 million tokens.
• Qwen3.6-35B-A3B – An efficient Mixture-of-Experts model with 3 billion active parameters optimized for agentic coding workflows. Suited for tasks including frontend development, repository-level code reasoning, multi-step agent interactions, and coding copilot applications.
• Qwen3.5-0.8B – A compact multimodal model designed for rapid prototyping, fine-tuning, on-device inference, and edge deployments. Supports multilingual capabilities and multimodal understanding at a minimal compute footprint.
• Qwen3.5-2B – A lightweight multimodal model for prototyping, fine-tuning, and moderate-compute deployments. Handles multilingual text generation, visual understanding, and conversational AI tasks efficiently.

All four models are available today through Amazon SageMaker JumpStart. You can deploy them with a few clicks in Amazon SageMaker Studio or programmatically using the SageMaker Python SDK.