Qwen3.5-Plus
将于 2027 年 1 月 19 日下线查看公告复制成功！
概述
Qwen3.5原生视觉语言系列Plus模型，相较于2月15日快照，本模型在Agentic coding能力上大幅提升；推理速度显著提升；知识、推理与长上下文能力保持较高水准，满足复杂Agent任务的需求，适合应用于编码智能体、生产工作流和高吞吐场景。该版本为2026年4月20日快照。
输入
图像文本视频
输出
文本
功能
定价
- 输入¥0.8/M tokens
- 输出¥4.8/M tokens
- 显式缓存创建¥1/M tokens
- 显式缓存命中¥0.08/M tokens
速率限制与上下文
- 最大输入991K
- 最大输出65K
- 最大输入（思考模式）983K
- 最大输出（思考模式）65K
- 上下文1M
- TPM每分钟 Token 数1000000
- RPM每分钟请求数600
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://cn-beijing.maas.qianwenaiapi.com/compatible-mode/v1",
)
messages = [{"role": "user", "content": "你是谁"}]
completion = client.chat.completions.create(
model="qwen3.5-plus-2026-04-20", # 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://cn-beijing.maas.qianwenaiapi.com/compatible-mode/v1",
)
messages = [{"role": "user", "content": "你是谁"}]
completion = client.chat.completions.create(
model="qwen3.5-plus-2026-04-20", # 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)