DeepSeek V3.2 API Benchmarks: Latency, Throughput & Cost
Blog post from Deepinfra
DeepSeek V3.2 is an advanced large language model featuring a 685B parameter Mixture of Experts architecture, designed to combine fast conversational capabilities with deep reasoning skills. Notable for its technical advancements, the model utilizes DeepSeek Sparse Attention for efficient long-context processing, a scalable reinforcement learning framework that rivals GPT-5, and an innovative task synthesis pipeline that integrates reasoning into tool-use scenarios. The model has demonstrated exceptional performance in international competitions such as the International Mathematical Olympiad and is available through various inference providers. Benchmarking results highlight DeepInfra as the recommended provider due to its competitive pricing, low latency, and comprehensive API features, while Google Vertex is noted for its speed and low latency, albeit at a higher cost. Other providers such as Novita and SiliconFlow offer budget-friendly options, though they come with certain limitations in API features or latency.
| Trend | Post Mentions | Total Month Mentions | Posts | Companies | MoM |
|---|---|---|---|---|---|
| Real-time | 3 | 6,296 | 1,346 | 246 | -2% |
| LLM | 2 | 5,932 | 1,046 | 223 | -2% |
| AI Agents | 1 | 4,430 | 1,100 | 236 | -3% |
| Multi-agent systems | 1 | 460 | 170 | 68 | -20% |
| RAG | 1 | 941 | 216 | 85 | -48% |
| Reinforcement learning | 1 | 104 | 49 | 23 | -14% |
| Vector Search | 1 | 1,739 | 413 | 146 | -27% |
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