Audience

Researchers and AI engineers looking for a solution providing a model that performs well on long-context tasks with reduced compute cost

About DeepSeek-V3.2-Exp

Introducing DeepSeek-V3.2-Exp, our latest experimental model built on V3.1-Terminus, debuting DeepSeek Sparse Attention (DSA) for faster and more efficient inference and training on long contexts. DSA enables fine-grained sparse attention with minimal loss in output quality, boosting performance for long-context tasks while reducing compute costs. Benchmarks indicate that V3.2-Exp performs on par with V3.1-Terminus despite these efficiency gains. The model is now live across app, web, and API. Alongside this, the DeepSeek API prices have been cut by over 50% immediately to make access more affordable. For a transitional period, users can still access V3.1-Terminus via a temporary API endpoint until October 15, 2025. DeepSeek welcomes feedback on DSA via its feedback portal. In conjunction with the release, DeepSeek-V3.2-Exp has been open-sourced: the model weights and supporting technology (including key GPU kernels in TileLang and CUDA) are available on Hugging Face.

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Pricing

Starting Price:
Free
Pricing Details:
Open source
Free Version:
Free Version available.

Integrations

API:
Yes, DeepSeek-V3.2-Exp offers API access
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Ratings/Reviews

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Company Information

DeepSeek
Founded: 2023
China
deepseek.com

Videos and Screen Captures

DeepSeek-V3.2-Exp Screenshot 1
DeepSeek-V3.2-Exp Screenshot 1
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Product Details

Platforms Supported
Cloud
Windows
Mac
Linux
On-Premises
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