Qwen3 Next 80B A3B Instruct
qwen/qwen3-next-80b-a3b-instruct
Qwen3-Next uses a highly sparse MoE design: 80B total parameters, but only ~3B activated per inference step. Experiments show that, with global load balancing, increasing total expert parameters while keeping activated experts fixed steadily reduces training loss.Compared to Qwen3’s MoE (128 total experts, 8 routed), Qwen3-Next expands to 512 total experts, combining 10 routed experts + 1 shared expert — maximizing resource usage without hurting performance. The Qwen3-Next-80B-A3B-Instruct performs comparably to our flagship model Qwen3-235B-A22B-Instruct-2507, and shows clear advantages in tasks requiring ultra-long context (up to 256K tokens).
价格
| 输入 | $0.15/百万 tokens |
| 输出 | $1.5/百万 tokens |
使用以下代码示例来集成我们的API：
1from openai import OpenAI
2
3client = OpenAI(
4 api_key="<Your API Key>",
5 base_url="https://api.jiekou.ai/openai"
6)
7
8response = client.chat.completions.create(
9 model="qwen/qwen3-next-80b-a3b-instruct",
10 messages=[
11 {"role": "system", "content": "You are a helpful assistant."},
12 {"role": "user", "content": "Hello, how are you?"}
13 ],
14 max_tokens=65536,
15 temperature=0.7
16)
17
18print(response.choices[0].message.content)信息
提供商
量化
bf16
支持的功能
上下文长度
65536
最大输出
65536
函数调用
支持
结构化输出
支持
serverless
支持
Input Capabilities
text
Output Capabilities
text