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About the Provider

Alibaba Cloud is the cloud computing arm of Alibaba Group and the creator of the Qwen model family. Qwen3.5-Flash is served via Alibaba Cloud Model Studio as a closed-source, production-optimized API — delivering the capability of the Qwen3.5-35B-A3B architecture at high throughput and minimal cost, without requiring self-hosted infrastructure.

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Model Quickstart

This section helps you quickly get started with the Qwen/Qwen3.5-Flash model on the Qubrid AI inferencing platform. To use this model, you need:
  • A valid Qubrid API key
  • Access to the Qubrid inference API
  • Basic knowledge of making API requests in your preferred language
Once authenticated with your API key, you can send inference requests to the Qwen/Qwen3.5-Flash model and receive responses based on your input prompts. Below are example placeholders showing how the model can be accessed using different programming environments.
You can choose the one that best fits your workflow. 
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",
)

# Create a streaming chat completion
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
)

# If stream = False comment this out
for chunk in stream:
    if chunk.choices and chunk.choices[0].delta.content:
        print(chunk.choices[0].delta.content, end="", flush=True)
print("\n")

# If stream = True comment this out
print(stream.choices[0].message.content)

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Model Overview

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 ($0.10/M input tokens), with responses 6x faster and competitive quality on agentic benchmarks.
  • It features a 1M token context window, native tool calling, built-in web search, and code interpreter support — available exclusively via the hosted API.

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Model at a Glance

FeatureDetails
Model IDQwen/Qwen3.5-Flash
ProviderAlibaba Cloud (Model Studio — hosted API)
ArchitectureHybrid Gated DeltaNet + Sparse MoE (hosted / proprietary serving infrastructure)
Model Size35B Total / 3B Active — hosted
Context Length1M Tokens (API) / 256K Tokens (self-hosted base)
Release DateFebruary 2026
LicenseProprietary — Alibaba Cloud Model Studio API only
Training DataLarge-scale multilingual multimodal dataset — weights not disclosed

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When to use?

You should consider using Qwen3.5-Flash if:
  • You need high-volume agentic workflows with minimal cost
  • Your application requires cost-efficient RAG pipelines without chunking limitations
  • You are building real-time chatbots or assistants requiring fast response times
  • Your use case involves code generation, review, or tool-calling automation
  • You need large-document analysis with a 1M token context window
  • You want built-in web search and code interpreter without additional integration

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Inference Parameters

Parameter NameTypeDefaultDescription
StreamingbooleantrueEnable streaming responses for real-time output.
Temperaturenumber0.6Controls randomness. Use 0.6 for non-thinking tasks, 1.0 for thinking/reasoning tasks.
Max Tokensnumber8192Maximum number of tokens the model can generate.
Top Pnumber0.95Controls nucleus sampling for more predictable output.
Top Knumber20Limits token sampling to top-k candidates.
Enable ThinkingbooleanfalseToggle chain-of-thought reasoning mode. Use temperature=1.0 when thinking is enabled.

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Key Features

  • 1M Token Context Window: Eliminates the need for RAG chunking on large documents — available on the hosted API.
  • 1/13th the Cost of Claude Sonnet 4.6: At $0.10/M input tokens, enables high-volume production workloads at minimal cost.
  • 6x Faster than Claude Sonnet 4.6: Production-optimized serving infrastructure for real-time agentic applications.
  • Built-in Official Tools: Native web search and code interpreter support — no additional integration required.
  • Thinking and Non-Thinking Modes: Configurable chain-of-thought reasoning for tasks requiring deep problem solving.
  • Native Function Calling: Structured output and tool-calling support for complex agentic workflows.

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Summary

Qwen3.5-Flash is the production-hosted API deployment of Qwen3.5-35B-A3B, optimized for speed, scale, and cost efficiency.
  • It is served via Alibaba Cloud Model Studio as a closed-source API with proprietary serving infrastructure.
  • It delivers 1M token context, 6x faster responses, and 1/13th the cost of Claude Sonnet 4.6, with built-in web search and code interpreter.
  • The model supports Thinking and non-Thinking modes, native function calling, and structured output.
  • Available exclusively via the hosted API — no weight access or self-hosting supported.