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DeepSeek-V3

An open-weight MoE with 671B parameters, activating 37B per token

DeepSeek Model Open weights
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WHAT IT IS

DeepSeek-V3 is an open-weight model DeepSeek released in December 2024. It uses a mixture-of-experts architecture with 671B total parameters, activating about 37B per token. DeepSeek was founded in Hangzhou in 2023 by Liang Wenfeng and is known for publishing technical details and data openly. V3 approaches the closed frontier of its time on several benchmarks, while the training compute and cost disclosed in its technical report are far below the usual level for models of this size. It supports a context window in the 128K range, with weights downloadable under a permissive licence.

Why it matters

A 671B-parameter MoE that activates only 37B per token, trained at the low cost reported in its technical report — evidence that open-weight models can approach the closed frontier of the same period.

Key specs

Parameters
671B (MoE, 37B active)
Context window
128K tokens
Training cost
About US$5.58M (per the official technical report)
Open weights
Yes

Capabilities

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