DeepSeekChat
DeepSeek: DeepSeek V3.2 Speciale
deepseek/deepseek-v3.2-speciale
164KContext Window
164KMax Output
Supported Protocols:reasoninginclude_reasoningmax_tokenstemperaturetop_ptop_kmin_pfrequency_penaltypresence_penaltyrepetition_penaltystopseedlogit_biasresponse_formatstructured_outputs
Online
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.
Capabilities
🧠 ReasoningText GenerationCode GenerationAnalysis & Reasoningmodels.reasoning
Technical Specs
Input Modality
Text
Output Modality
Text
Arch
—
Default Temperature
1
Default Top_P
0.95
Pricing
Pay per use, no monthly feesInput Token< ¥0.001/1K Token
Output Token< ¥0.001/1K Token
Quick Start
from openai import OpenAI
client = OpenAI(
base_url="https://api.uniontoken.ai/v1",
api_key="YOUR_UNIONTOKEN_API_KEY",
)
response = client.chat.completions.create(
model="deepseek/deepseek-v3.2-speciale",
messages=[
{"role": "user", "content": "Hello!"}
],
)
print(response.choices[0].message.content)FAQ
DeepSeek
DeepSeek: DeepSeek V3.2 Speciale
deepseek/deepseek-v3.2-speciale
In< ¥0.001/1K
Out< ¥0.001/1K
Context Window164K
Max Output164K
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