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DeepSeek: DeepSeek V3.2Active

deepseek/deepseek-v3.2
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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.

By:DeepSeekInput Type:Output Type:Publish time:2025-12-05

Providers

Route requests across multiple providers. Copy a provider slug to set your preference.

ProviderCache Hit RateContext
SiliconFlow
siliconflow
20.6%$0.293/ M tokens$0.4395/ M tokensRead:0.0293/ M tokensWrite:-/ M tokens128K1.85s19.0tps
BaiduSunset
baidu
-$0.28-0.56/ M tokens$0.43-0.86/ M tokensRead:0.06/ M tokensWrite:-/ M tokens128K--

Uptime

Direct request success rate on AI Gateway and per-provider.

Oct 26, 17:24
SiliconFlow100.00%

Throughput

P50 throughput on live AI Gateway traffic, in tokens per second (TPS).

Latency

P50 time to first token (TTFT) on live AI Gateway traffic, in milliseconds.

Oct 26, 15:00
SiliconFlow1.85s

Activity

Token volume and request traffic to this model over time.

Token Consumption
Oct 25
Baidu-
SiliconFlow507.6K

Token volume broken down by the provider that served each request. Larger segments indicate providers handling more of this model's traffic.

Benchmarks

Scores on standardized evaluations. Higher percentages are better — and rank percentile shows

Metrics sourced fromArtificial Analysis

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 Ranking

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