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Specifications
ParametersThe learned values that shape how a model responds. B means billion and T means trillion. For mixture-of-experts models, the total count is larger than the number active for each token. Parameter count alone does not measure quality.
16B7B/13B/33B/65B
Context windowHow much information the model can work with in one request, measured in tokens — pieces of words or other data. This includes your question, attachments, conversation and reply. Limits can vary by model variant and provider.
4k2k
Overview
CompanyDeepSeekMeta
Release dateJan 11 2024Feb 24 2023
AccessOpen WeightOpen Weight
Model detailsView modelView model

Other comparisons

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Frequently asked questions

DeepSeek-MoE and LLaMA 1 don't publish scores on any of the same benchmarks, so there's no direct head-to-head comparison. LLaMA 1 shipped 321 days before DeepSeek-MoE, so benchmark comparisons should account for the intervening progress.

DeepSeek-MoE has 16B parameters, while LLaMA 1 has 7B/13B/33B/65B. Context windows are 4k (DeepSeek-MoE) vs 2k (LLaMA 1).

Direct benchmark comparisons are unavailable — DeepSeek-MoE and LLaMA 1 don't publish scores on any of the same benchmarks.