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DeepSeek: DeepSeek-V3.2 (Non-thinking Mode)下线

deepseek/deepseek-chat
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DeepSeek-V3.2 (Non-thinking Mode) is DeepSeek's latest production model, currently served under the deepseek-chat model slug, which is automatically updated as new versions are released.

DeepSeek-V3.2 is a reasoning-first large language model released by DeepSeek as the official successor to V3.2-Exp. It is designed with a focus on agentic capabilities and integrated reasoning for tool-use scenarios.

If the request to the deepseek-reasoner model includes the tools parameter, the request will actually be processed using the deepseek-chat model.

The model introduces a new large-scale agent training data synthesis method covering over 1,800 environments and 85,000+ complex instructions. DeepSeek-V3.2 is the first model from DeepSeek to integrate thinking directly into tool-use, supporting both thinking and non-thinking modes during tool interactions.

According to DeepSeek's benchmarks, the model delivers performance comparable to GPT-5 level while balancing inference quality and output length. It is available via App, Web, and API, making it suitable for general-purpose daily use as well as complex agentic workflows.

由:DeepSeek输入类型:输出类型:发布时间:2025-12-01

供应商

在多个供应商之间路由请求。复制供应商标识以设置偏好供应商。

供应商缓存命中率上下文
DeepSeek下线
deepseek
82.7%$0.14/ 百万 token$0.28/ 百万 token读取:0.028/ 百万 token写入:-/ 百万 token128K0.27s58.4tps

可用率

AI Gateway 直连请求及各供应商的成功率。

Jul 24, 10:09
DeepSeek100.00%

吞吐量

AI Gateway 实时流量的 P50 吞吐量,单位为每秒 token 数(TPS)。

Jul 24, 10:00
DeepSeek58.4 tps

延迟

AI Gateway 实时流量的 P50 首 token 延迟(TTFT),单位为毫秒。

Jul 24, 10:00
DeepSeek0.27s

活动

该模型随时间变化的 token 用量和请求流量。

Token 消耗
Jul 24
DeepSeek448.9K

按实际处理请求的供应商拆分 token 用量。区块越大,表示该供应商处理的模型流量越多。

基准测试

标准化评测得分。百分比越高越好,并展示排名百分位。

指标来源:Artificial Analysis

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该模型暂无基准测试数据。

Apps

Public apps that send the most traffic to this model. Good signal for what real production workloads look like — and a hint at which use cases this model is best suited for. View All

Token 排行
No data
No app usage is available for this period.

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