DeepSeek: DeepSeek V3.2✓ Catalog verified
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...
Overview
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...
Access: available through the official DeepSeek API. Context window: 164K.
Specifications
| API identifier | deepseek/deepseek-v3.2 |
| Provider | DeepSeek |
| Model type | Text LLM |
| Context window | 164K catalog |
| Input modalities | text |
| Output modalities | text |
| Released | Dec 1, 2025 |
| Tokenizer | DeepSeek |
| Moderated | No |
| Architecture modality | text->text |
API defaults
{
"top_k": null,
"top_p": 0.95,
"temperature": 1,
"presence_penalty": null,
"frequency_penalty": null,
"repetition_penalty": null
}Pricing
Live pricing components for deepseek/deepseek-v3.2 as published in the catalog.
| Pricing component | Raw unit price | Normalized | Unit |
|---|---|---|---|
| Prompt tokens | $2.8e-7 | $0.28 / 1M | Per input token |
| Completion tokens | $4.2e-7 | $0.42 / 1M | Per output token |
| Request fee | N/A | N/A | Per request |
| Image fee | N/A | N/A | Per image unit |
| Web search fee | N/A | N/A | Per search request |
Cost calculator
Estimate monthly spend from your own token volumes.
Estimated Total Cost
$0.22Calculated from current list pricing in the ModelsAtlas catalog.Capabilities
| Capability | Status | What it means |
|---|---|---|
| Visual Understanding | Not advertised | Image and document analysis support |
| Audio Processing | Not advertised | Speech and voice aligned flows |
| Tool Calling | ✓ Supported | Supports tools / function calling |
| Self-Hosting | ✓ Supported | Deploy outside managed APIs |
Capability signals
Directional signals derived from model metadata and capability tags — not official benchmark submissions.
Quick start
Call DeepSeek: DeepSeek V3.2 through an OpenAI-compatible client.
from openai import OpenAI
client = OpenAI(
base_url="https://openrouter.ai/api/v1",
api_key="YOUR_API_KEY"
)
response = client.chat.completions.create(
model="deepseek/deepseek-v3.2",
messages=[{"role": "user", "content": "Explain quantum physics."}]
)
print(response.choices[0].message.content)Alternatives
Closest models by context window from a different provider.
| Model | Provider | Context | Input /1M | Actions |
|---|---|---|---|---|
| Meta: Llama Guard 4 12B | Meta | 164K | $0.18 | View → |
| TNG: DeepSeek R1T2 Chimera | TNG Tech | 164K | $0.30 | View → |
Sources & attribution
Pricing and metadata are maintained in the ModelsAtlas catalog.
Frequently asked questions
How much does DeepSeek: DeepSeek V3.2 cost?
$0.28 per 1M input tokens and $0.42 per 1M output tokens on the official DeepSeek API.
What is the context window of DeepSeek: DeepSeek V3.2?
DeepSeek: DeepSeek V3.2 supports up to 164K tokens of context.
Does DeepSeek: DeepSeek V3.2 support tool / function calling?
Yes, DeepSeek: DeepSeek V3.2 supports tool / function calling — you can register tools and the model will emit structured tool calls.
How do I access DeepSeek: DeepSeek V3.2?
Use the official DeepSeek API with the model id `deepseek/deepseek-v3.2`. See the Quick start section above for code examples.