AI Observatory / Model Radar
DeepSeek / deepseek/deepseek-v3.2
DeepSeek: DeepSeek V3.2
DeepSeek-V3.2 is a large language model designed to harmonize high computational efficiency with strong reasoning and agentic tool-use performance. It introduces DeepSeek Sparse Attention (DSA), a fine-grained sparse attention mechanism...
131,072
Context
65,536
Max output
$0.25 / 1M
Prompt price
2025-12-01
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 | $0.25 / 1M |
| Completion price | $0.38 / 1M | Request price | N/A |
| Context length | 131,072 | 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 | ||
Best for
deepseek/deepseek-v3.2
DeepSeek: DeepSeek V3.2
DeepSeek-V3.2 is a large language model designed to harmonize high computational efficiency with strong reasoning and agentic tool-use performance. It introduces DeepSeek Sparse Attention (DSA), a fine-grained sparse attention mechanism...
Deep analysis
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.