Qwen3.5-122B-A10B
qwen/qwen3.5-122b-a10b
The Qwen3.5-122B-A10B native vision-language model is built on a hybrid architecture that integrates a linear attention mechanism with a sparse mixture-of-experts model, achieving higher inference efficiency. In terms of overall performance, this model is second only to Qwen3.5-397B-A17B. Its text capabilities significantly outperform those of Qwen3-235B-2507, and its visual capabilities surpass those of Qwen3-VL-235B.
Price
| Input | $0.4per million tokens |
| Output | $3.2per million tokens |
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/qwen3.5-122b-a10b",
10 messages=[
11 {"role": "system", "content": "You are a helpful assistant."},
12 {"role": "user", "content": "Hello, how are you?"}
13 ],
14 max_tokens=65500,
15 temperature=0.7
16)
17
18print(response.choices[0].message.content)Information
Provider
Quantization
bf16
Supported Features
Context Length
262.1K
Maximum Output
65.5K
serverless
Supported
Function Calling
Supported
Structured Outputs
Supported
Reasoning
Supported
Input Capabilities
text, image, video
Output Capabilities
text