Using Qwen3.5-Flash on Vercel AI Gateway
Implementation guide · Qwen3.5 · Alibaba
ServerlessOpen Source
Vercel AI Gateway exposes Qwen3.5-Flash through model ID alibaba/qwen3.5-flash. Use the setup steps, sourced pricing, capabilities, and official provider links below to validate this route before deployment.
Last refreshed 2026-06-29. Next refresh: weekly.
Quick Start
- 1
- 2Use the Vercel AI Gateway SDK or REST API to call
alibaba/qwen3.5-flash— see the documentation for request format. - 3
Code Examples
Install
pip install openaiAPI key
AI_GATEWAY_API_KEYModel ID
alibaba/qwen3.5-flashcreator/model-name e.g. kwaipilot/kat-coder-pro-v2
import os
from openai import OpenAI
client = OpenAI(
api_key=os.environ["AI_GATEWAY_API_KEY"],
base_url="https://ai-gateway.vercel.sh/v1"
)
response = client.chat.completions.create(
model="alibaba/qwen3.5-flash",
messages=[{"role": "user", "content": "Hello"}]
)
print(response.choices[0].message.content)Pricing on Vercel AI Gateway
| Type | Price (per 1M) |
|---|---|
| Input tokens | $0.10 |
| Output tokens | $0.40 |
Capabilities
VisionMultimodal
About Qwen3.5-Flash
Qwen3.5-Flash is a fast, cost-effective native vision-language model in the Qwen3.5 series, delivering outstanding performance comparable to the latest state-of-the-art models with significant leaps in both pure-text and multimodal capabilities compared to the Qwen3 series.
Model Specs
Released2026-02-23
Context1m