About Qwen3.5 4B
Qwen/Qwen3.5-4B 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 4B parameter scale balances capability and efficiency for a wide range of deployment scenarios.
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 | 4 billion |
| Mixture of Experts | Yes (sparse) |
| 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.
Ready to build with Qwen3.5 4B?
Try Qwen3.5 4B in the Workbench to prompt it, compare outputs, and iterate on prompts without writing any code. When you're ready to ship, call the same model from our API and build your own apps on top of it.
curl -sSf -X POST https://hub.oxen.ai/api/ai/chat/completions \
-H "Content-Type: application/json" \
-H "Authorization: Bearer $OXEN_API_KEY" \
-d '{
"model": "qwen3-5_4b",
"messages": [
{
"role": "user",
"content": "Try sending a message."
}
]
}'API endpoint
See the API reference for request and response formats.
https://hub.oxen.ai/api/ai/chat/completions