DeepSeek: DeepSeek V3.2 Speciale✓ Catalog verified
DeepSeek-V3.2-Speciale is a high-compute variant of DeepSeek-V3.2 optimized for maximum reasoning and agentic performance. It builds on DeepSeek Sparse Attention (DSA) for efficient long-context processing, then scales post-training reinforcement learning to push capability beyond the base model. Reported evaluations place Speciale ahead of GPT-5 on difficult reasoning workloads, with proficiency comparable to Gemini-3.0-Pro, while retaining strong coding and tool-use reliability. Like V3.2, it benefits from a large-scale agentic task synthesis pipeline that improves compliance and generalization in interactive environments.
Overview
DeepSeek-V3.2-Speciale is a high-compute variant of DeepSeek-V3.2 optimized for maximum reasoning and agentic performance. It builds on DeepSeek Sparse Attention (DSA) for efficient long-context processing, then scales post-training reinforcement learning to push capability beyond the base model. Reported evaluations place Speciale ahead of GPT-5 on difficult reasoning workloads, with proficiency comparable to Gemini-3.0-Pro, while retaining strong coding and tool-use reliability. Like V3.2, it benefits from a large-scale agentic task synthesis pipeline that improves compliance and generalization in interactive environments.
Access: available through the official DeepSeek API. Context window: 164K.
Specifications
| API identifier | deepseek/deepseek-v3.2-speciale |
| 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_p": 0.95,
"temperature": 1,
"frequency_penalty": null
}Pricing
Live pricing components for deepseek/deepseek-v3.2-speciale as published in the catalog.
| Pricing component | Raw unit price | Normalized | Unit |
|---|---|---|---|
| Prompt tokens | $4e-7 | $0.40 / 1M | Per input token |
| Completion tokens | $0.0000012 | $1.20 / 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
$0.44Calculated 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 | Not advertised | 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 Speciale 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-speciale",
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 | Tngtech | 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 Speciale cost?
$0.40 per 1M input tokens and $1.20 per 1M output tokens on the official DeepSeek API.
What is the context window of DeepSeek: DeepSeek V3.2 Speciale?
DeepSeek: DeepSeek V3.2 Speciale supports up to 164K tokens of context.
Does DeepSeek: DeepSeek V3.2 Speciale support tool / function calling?
DeepSeek: DeepSeek V3.2 Speciale does not advertise first-class tool/function calling. Check vendor docs for the latest capabilities.
How do I access DeepSeek: DeepSeek V3.2 Speciale?
Use the official DeepSeek API with the model id `deepseek/deepseek-v3.2-speciale`. See the Quick start section above for code examples.