Qwen3.5 27B API
Released February 24, 2026 | 256K Tokens (up to 1M) context | 27B params (dense) parameters
Qwen3.5 27B API enables Local deployment on consumer hardware (22GB+ RAM), Agentic coding and software development, Multimodal chat (text, images, video), Complex reasoning and analysis, Long-context document processing, and Fine-tuning for specialized domains. Qwen3.5-27B is a dense (non-MoE) transformer model and the only full-weight model in the Qwen3.5 Medium Series. Released February 24, 2026, it achieves 72.4% on SWE-bench Verified — matching GPT-5 mini — despite having just 27B parameters. It supports native multimodal input (text + images + video) via early fusion, runs on a 22GB Mac M-series device, and natively extends to 1M token contexts. Standout strengths include 72.4% SWE-bench Verified — matches GPT-5 mini at 27B and Dense architecture — simple deployment, no MoE routing. It is well suited for multimodal assistants that combine image understanding with grounded text reasoning in real-time workflows.
from openai import OpenAI # Initialize the OpenAI client with Qubrid base URL client = OpenAI( base_url="https://platform.qubrid.com/v1", api_key="QUBRID_API_KEY", ) stream = client.chat.completions.create( model="Qwen/Qwen3.5-27B", messages=[ { "role": "user", "content": [ { "type": "text", "text": "What is in this image? Describe the main elements." }, { "type": "image_url", "image_url": { "url": "https://cdn.britannica.com/61/93061-050-99147DCE/Statue-of-Liberty-Island-New-York-Bay.jpg" } } ] } ], max_tokens=8192, temperature=0.6, top_p=0.95, stream=True ) for chunk in stream: if chunk.choices and chunk.choices[0].delta.content: print(chunk.choices[0].delta.content, end="", flush=True) print("\n")from openai import OpenAI # Initialize the OpenAI client with Qubrid base URL client = OpenAI( base_url="https://platform.qubrid.com/v1", api_key="QUBRID_API_KEY", ) stream = client.chat.completions.create( model="Qwen/Qwen3.5-27B", messages=[ { "role": "user", "content": [ { "type": "text", "text": "What is in this image? Describe the main elements." }, { "type": "image_url", "image_url": { "url": "https://cdn.britannica.com/61/93061-050-99147DCE/Statue-of-Liberty-Island-New-York-Bay.jpg" } } ] } ], max_tokens=8192, temperature=0.6, top_p=0.95, stream=True ) for chunk in stream: if chunk.choices and chunk.choices[0].delta.content: print(chunk.choices[0].delta.content, end="", flush=True) print("\n") Enterprise
Platform Integration
Docker Support
Official Docker images for containerized deployments
Kubernetes Ready
Production-grade KBS manifests and Helm charts
SDK Libraries
Official SDKs for Python, Javascript, Go, and Java
Don't let your AI control you. Control your AI the Qubrid way!
Have questions? Want to Partner with us? Looking for larger deployments or custom fine-tuning? Let's collaborate on the right setup for your workloads.
"Qubrid scaled our personalized outreach from hundreds to tens of thousands of prospects. AI-driven research and content generation doubled our campaign velocity without sacrificing quality."
Demand Generation Team
Marketing & Sales Operations
