AI Model Release Tracker

Compare AI models

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.
7B/67B7B/13B/70B
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.
4k4k
Overview
CompanyDeepSeekMeta
Release dateNov 29 2023Jul 18 2023
AccessOpen WeightOpen Weight
Model detailsView modelView model

Other comparisons

DeepSeek-LLMvsClaude Haiku 5.5LLaMA 2vsClaude Haiku 5.5DeepSeek-LLMvsGPT-6.1 SolLLaMA 2vsGPT-6.1 SolDeepSeek-LLMvsGemini 4 ArgonLLaMA 2vsGemini 4 ArgonDeepSeek-LLMvsGrok 4.7LLaMA 2vsGrok 4.7DeepSeek-LLMvsMistral Large 4LLaMA 2vsMistral Large 4DeepSeek-LLMvsKimi K3LLaMA 2vsKimi K3

Frequently asked questions

DeepSeek-LLM and LLaMA 2 don't publish scores on any of the same benchmarks, so there's no direct head-to-head comparison. LLaMA 2 shipped 134 days before DeepSeek-LLM, so benchmark comparisons should account for the intervening progress.

DeepSeek-LLM has 7B/67B parameters, while LLaMA 2 has 7B/13B/70B. Context windows are 4k (DeepSeek-LLM) vs 4k (LLaMA 2).

Direct benchmark comparisons are unavailable — DeepSeek-LLM and LLaMA 2 don't publish scores on any of the same benchmarks.