# DeepSeek V3.2: API price, context window and how to connect

DeepSeek V3.2 by DeepSeek: $0.28 per million input tokens, $0.42 per million output tokens, a 164K-token window. What it is good for, what to compare it with and how to connect it in SKILLOK.

## In short

A previous-generation DeepSeek model with sparse attention (DeepSeek Sparse Attention): economical in compute and still strong at reasoning and tool calling. A 164-thousand-token window.

## Specifications

| | |
|---|---|
| Provider | [DeepSeek](https://skillok.org/docs/en/ai-models/providers/deepseek) |
| Released | 2025-12-01 |
| Context window | 164K tokens |
| Accepts | text |
| Answers with | text |
| Reasoning mode | yes |
| Tool calling | yes |
| Open weights | yes |
| Identifier | `deepseek/deepseek-v3.2` |

## Price

| Per 1M tokens | In dollars |
|---|---|
| Input (question, context) | $0.28 |
| Output (answer) | $0.42 |

For reference: a conversation of 20 questions of ~500 tokens and answers of ~800 tokens costs about **$0.01**. Models in reasoning mode spend more tokens on an answer than the text shows: the reasoning is paid for too.

## What it is good for

* A proven model for simple agents
* Step-by-step reasoning
* Tasks without long context

## Similar models

Catalog models with the same kind of output, closest in the price of a typical request.

| Model | Input | Output | Window | Price |
|---|---|---|---|---|
| [Mistral Small 4](https://skillok.org/docs/en/ai-models/models/mistral-small-2603) | $0.15 | $0.6 | 262K | about the same |
| [Llama 4 Maverick](https://skillok.org/docs/en/ai-models/models/llama-4-maverick) | $0.188 | $0.652 | 1.05M | 1.1× more expensive |
| [Qwen3.8 Flash](https://skillok.org/docs/en/ai-models/models/qwen3-8-flash) | $0.15 | $0.47 | 1M | 1.2× cheaper |
| [Qwen3.8 Omni Flash](https://skillok.org/docs/en/ai-models/models/qwen3-8-omni-flash) | $0.15 | $0.47 | 1M | 1.2× cheaper |
| [GPT-6 Luna](https://skillok.org/docs/en/ai-models/models/gpt-6-luna) | $0.1 | $0.5 | 1.05M | 1.3× cheaper |

## Other DeepSeek models

* [DeepSeek V4.1 Flash](https://skillok.org/docs/en/ai-models/models/deepseek-v4-1-flash)
* [DeepSeek V4 Pro 0423](https://skillok.org/docs/en/ai-models/models/deepseek-v4-pro)
* [DeepSeek V4 Flash 0423](https://skillok.org/docs/en/ai-models/models/deepseek-v4-flash)

## How to connect in SKILLOK

DeepSeek V3.2 works through OpenRouter: add an OpenRouter key in **Settings → AI** and pick the `deepseek/deepseek-v3.2` model. It then becomes available in Space AI, in tasks and to the repository agent. In detail — [Connecting a model in SKILLOK](https://skillok.org/docs/en/ai-models/connecting-in-skillok).

## Where the data comes from

Prices, the context window and capabilities come from the public OpenRouter catalog as of 2026-10-19. A provider may change the price — the exact figure is always on the model's OpenRouter page.

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https://skillok.org/docs/en/ai-models/models/deepseek-v3-2