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DeepSeekOpen-weight·164K context·— params

DeepSeek V3.2 Specialedeepseek/deepseek-v3-2-speciale

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...

Cheapest blended:$0.32 / 1M tokenson DeepSeek · 1 provider listed

Pricing across providers

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1 hosting hidden — prices older than 60 days are pending re-verification.

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Works with

Point any of these clients at a hosting's base URL — they all speak at least one of this model's endpoint protocols (OPENAI_COMPATIBLE).

Capabilities

Code samples

Example using DeepSeek — the cheapest hosting for this model as of last verification. Swap base_url and model to use a different provider from the matrix above.

from openai import OpenAI

client = OpenAI(
    api_key="YOUR_API_KEY",
    base_url="https://api.deepseek.com/v1",
)

response = client.chat.completions.create(
    model="deepseek-v3.2-speciale",
    messages=[{"role": "user", "content": "Hello!"}],
)
print(response.choices[0].message.content)

Technical specs

Context
164K
Max output
164K
Parameters
—
Release
—
Training cutoff
—
License
—
Hugging Face →

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  • DeepSeek V3.2 Speciale vs DeepSeek V3.1
    Comparison planned — not yet published

Frequently asked

How much does DeepSeek V3.2 Speciale cost?+
The cheapest public hosting is $0.32 per 1M blended tokens on DeepSeek. 1 total providers are listed above with per-input / per-output / cached pricing.
How do I access DeepSeek V3.2 Speciale from outside China?+
All hostings listed above support global access. The official API (e.g. api.deepseek.com, dashscope-intl.aliyuncs.com) accepts international credit cards and does not require a Chinese mobile number. For privacy-sensitive workloads, third-party aggregators like Together.ai host the model on US/EU infrastructure.
Is DeepSeek V3.2 Speciale open-source? Can I fine-tune it?+
Yes. DeepSeek V3.2 Speciale is open-weight under the unspecified license. Weights are available on Hugging Face for local inference, fine-tuning, and commercial use (see license for specific terms).
Is DeepSeek V3.2 Speciale OpenAI-compatible?+
Most listed hostings expose an OpenAI-compatible API, so you can point an existing openai SDK client at the Provider's base_url and use the Provider's model name. See the Code Samples above for a copy-pasteable example.
What's the maximum context window for DeepSeek V3.2 Speciale?+
The model supports up to 163,840 tokens of context (input + output). Some hosted versions may impose a smaller limit — check the "Context" column in the pricing matrix for each provider.