Qwen3.8开源模型
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概述
Qwen3.8系列27B原生视觉语言Dense模型，模型效果相较3.6-27B重点提升了文本和视觉模态下的编程和办公场景能力，能更可靠地端到端完成复杂任务，输出值得信赖的成果。
输入
文本图像视频
输出
文本
功能
定价
- 输入¥3/M tokens
- 输出¥12/M tokens
- 输入（缓存命中）¥0.6/M tokens
- 显式缓存创建¥3.75/M tokens
- 显式缓存命中¥0.3/M tokens
速率限制与上下文
- 最大输入991K
- 最大输出131K
- 最大输入（思考模式）983K
- 最大输出（思考模式）131K
- 上下文1M
- 最大思维链262K
- TPM每分钟 Token 数5M
内置工具
API 参考
调用API复制成功！
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from openai import OpenAI
import os
client = OpenAI(
# 如果没有配置环境变量，请用阿里云百炼API Key替换：api_key="sk-xxx"
api_key=os.getenv("DASHSCOPE_API_KEY"),
base_url="https://maas.qianwenaiapi.com/compatible-mode/v1",
)
messages = [{"role": "user", "content": "你是谁"}]
completion = client.chat.completions.create(
model="qwen3.8-27b", # 您可以按需更换为其它深度思考模型
messages=messages,
extra_body={"enable_thinking": True},
stream=True
)
is_answering = False # 是否进入回复阶段
print("\n" + "=" * 20 + "思考过程" + "=" * 20)
for chunk in completion:
if not chunk.choices:
continue
delta = chunk.choices[0].delta
if hasattr(delta, "reasoning_content") and delta.reasoning_content is not None:
if not is_answering:
print(delta.reasoning_content, end="", flush=True)
if hasattr(delta, "content") and delta.content:
if not is_answering:
print("\n" + "=" * 20 + "完整回复" + "=" * 20)
is_answering = True
print(delta.content, end="", flush=True)123456789101112131415161718192021222324252627282930
from openai import OpenAI
import os
client = OpenAI(
# 如果没有配置环境变量，请用阿里云百炼API Key替换：api_key="sk-xxx"
api_key=os.getenv("DASHSCOPE_API_KEY"),
base_url="https://maas.qianwenaiapi.com/compatible-mode/v1",
)
messages = [{"role": "user", "content": "你是谁"}]
completion = client.chat.completions.create(
model="qwen3.8-27b", # 您可以按需更换为其它深度思考模型
messages=messages,
extra_body={"enable_thinking": True},
stream=True
)
is_answering = False # 是否进入回复阶段
print("\n" + "=" * 20 + "思考过程" + "=" * 20)
for chunk in completion:
if not chunk.choices:
continue
delta = chunk.choices[0].delta
if hasattr(delta, "reasoning_content") and delta.reasoning_content is not None:
if not is_answering:
print(delta.reasoning_content, end="", flush=True)
if hasattr(delta, "content") and delta.content:
if not is_answering:
print("\n" + "=" * 20 + "完整回复" + "=" * 20)
is_answering = True
print(delta.content, end="", flush=True)