Qwen/Qwen3.5-9B is a multimodal LLM with native vision capabilities. It excels in general-purpose dialogue, instruction following, coding, mathematics, multilingual tasks, and vision-language understanding, with strong performance on reasoning, agents, and visual understanding benchmarks. The 9B parameter scale delivers high capability for demanding applications while remaining efficient for deployment.

Key features include thinking mode by default for complex reasoning, a unified vision-language foundation with early fusion training, support for 201 languages and dialects, long-context processing up to 262,144 tokens (extensible to 1,010,000 with YaRN), image and video understanding, tool calling for agentic use cases, and a hybrid architecture using Gated Delta Networks with sparse Mixture-of-Experts.

Metric	Value
Parameter Count	9 billion
Mixture of Experts	No
Context Length	262,144 tokens
Multilingual	Yes
Quantized*	No

*Quantization is specific to the inference provider and the model may be offered with different quantization levels by other providers.