All Models
DeepSeek V3.2 Exp
DeepSeek-V3.2-Exp is an experimental large language model released by DeepSeek as an intermediate step between V3.1 and future architectures. It introduces DeepSeek Sparse Attention (DSA), a fine-grained sparse attention mechanism...
Available Providers (7)
| Provider | Model ID | Input Cost | Output Cost | Context | Max Output | Docs |
|---|---|---|---|---|---|---|
| | deepseek-v3.2 | $0.00/MTok | $0.00/MTok | 128K | 64K | |
| | deepseek/deepseek-v3.2-exp | $0.22/MTok | $0.33/MTok | 163K | 64K | |
| | deepseek/deepseek-v3.2-exp | $0.27/MTok | $0.41/MTok | 163.8K | 65.5K | |
| | deepseek-ai/DeepSeek-V3.2-Exp | $0.27/MTok | $0.40/MTok | 164K | 164K | |
| | deepseek/deepseek-v3.2-exp | $0.27/MTok | $0.40/MTok | 163.8K | 163.8K | |
| | deepseek-ai/deepseek-v3.2-exp | $0.28/MTok | $0.42/MTok | 163.8K | 65.5K | |
| | deepseek-v3-2-exp | $0.29/MTok | $0.43/MTok | 131.1K | 65.5K |
Capabilities
Reasoning
Tool Calling
Attachments
Open Weights
Structured Output