Using Qwen3.5-Flash on Vercel AI Gateway

Implementation guide · Qwen3.5 · Alibaba

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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. 1
    Create an account at Vercel AI Gateway and generate an API key.
  2. 2
    Use the Vercel AI Gateway SDK or REST API to call alibaba/qwen3.5-flash — see the documentation for request format.
  3. 3
    You'll be billed $0.10/1M input, $0.40/1M output tokens. See full pricing.

Code Examples

Install
pip install openai
API key
AI_GATEWAY_API_KEY
Model ID
alibaba/qwen3.5-flash

creator/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

TypePrice (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

More Models on Vercel AI Gateway

Provider

Vercel AI Gateway

Vercel