AI Observatory / Model Radar
DeepSeek / deepseek/deepseek-v3.2-exp
DeepSeek: 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...
163,840
Context
65,536
Max output
$0.27 / 1M
Prompt price
2025-09-29
Created
01 / Snapshot
Pricing, context, modalities, and parameters.
Model Radar detail pages stay neutral and operator-readable: core metadata first, then workflow fit.
| Provider | DeepSeek | Input modalities | text |
|---|---|---|---|
| Output modalities | text | Prompt price | $0.27 / 1M |
| Completion price | $0.41 / 1M | Request price | N/A |
| Context length | 163,840 | Max completion tokens | 65,536 |
| Supported parameters | frequency_penalty, include_reasoning, logit_bias, max_tokens, min_p, presence_penalty, reasoning, repetition_penalty, response_format, seed, stop, structured_outputs, temperature, tool_choice, tools, top_k, top_p | ||
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deepseek/deepseek-v3.2-exp
DeepSeek: 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...
High-volume usage
Coding workflows
tool-capable
low-cost
03 / Colophon
Routes and exits.
Each model page stays simple: overview, compare, related models, then back to the public hub.