Qwen3.5-Plus
qwen/qwen3.5-plus
The Qwen3.5 native vision-language series Plus models are based on a hybrid architecture design that integrates linear attention mechanisms with sparse Mixture-of-Experts (MoE), achieving higher inference efficiency. Across various task evaluations, the 3.5 series demonstrates exceptional performance comparable to current top-tier frontier models, marking a leap forward in both plain text and multimodal capabilities compared to the 3 series.
Price
| Input | $0 per million tokens |
| Output | $0 per million tokens |
Tiered pricing
| Request the length each time | Input | Selling price |
|---|---|---|
| 0 < tokens <= 256,000 | $0.4 | $2.4 |
| 256,000 < tokens <= 1,000,000 | $1.2 | $7.2 |
Use the following code example to integrate our API:
1from openai import OpenAI
2
3client = OpenAI(
4 api_key="<Your API Key>",
5 base_url="https://api.highwayapi.ai/openai"
6)
7
8response = client.chat.completions.create(
9 model="qwen/qwen3.5-plus",
10 messages=[
11 {"role": "system", "content": "You are a helpful assistant."},
12 {"role": "user", "content": "Hello, how are you?"}
13 ],
14 max_tokens=64000,
15 temperature=0.7
16)
17
18print(response.choices[0].message.content)Information
Provider
Quantification
-
Supported Features
Context length
1000000
Maximum output
64000
serverless
Support
Function call
Support
Structured output
Support
Reasoning
Support
Input Capabilities
text, image, video
Output Capabilities
text