Qwen3.5 Flash

Qwen3.5 Flash

latest
Model IDqwen3.5-flash
Compare with other models

Qwen3.5-Flash is the production-hosted, closed-source API version of the Qwen3.5-35B-A3B model, served via Alibaba Cloud Model Studio. It delivers frontier-adjacent intelligence at roughly 1/13th the cost of Claude Sonnet 4.6, with a 1M token context window, native tool calling, built-in web search, and code interpreter support. Responses are 6x faster than Claude Sonnet 4.6 with competitive quality on agentic benchmarks.

1M Tokens (API) / 256K Tokens (self-hosted base) ContextFast InferenceCodingFunction CallingMultilingualVision Ready
Save 20%
$0.13$0.10/1M

input tokens

$0.50$0.40/1M

output tokens

Cached $0.01$0.01/1M cached tokens

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-Flash", 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, extra_body={ "enable_thinking": False, } ) 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

Docker Support

Official Docker images for containerized deployments

Kubernetes

Kubernetes Ready

Production-grade KBS manifests and Helm charts

SDK

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 helped us turn a collection of AI scripts into structured production workflows. We now have better reliability, visibility, and control over every run."

AI Infrastructure Team

Automation & Orchestration