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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.
7B/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.
4k256k
Overview
CompanyMetaSpaceXSI
Release dateJul 18 2023Jul 9 2025
AccessOpen WeightClosed
Model detailsView modelView model

Other comparisons

LLaMA 2vsClaude Haiku 5.5Grok 4vsClaude Haiku 5.5LLaMA 2vsGPT-6.1 SolGrok 4vsGPT-6.1 SolLLaMA 2vsGemini 4 ArgonGrok 4vsGemini 4 ArgonLLaMA 2vsDeepSeek-V4.1-Flash-1017Grok 4vsDeepSeek-V4.1-Flash-1017LLaMA 2vsMistral Large 4Grok 4vsMistral Large 4LLaMA 2vsKimi K3Grok 4vsKimi K3

Frequently asked questions

LLaMA 2 and Grok 4 don't publish scores on any of the same benchmarks, so there's no direct head-to-head comparison. LLaMA 2 shipped 722 days before Grok 4, so benchmark comparisons should account for the intervening progress.

Context windows are 4k (LLaMA 2) vs 256k (Grok 4). LLaMA 2 is open weight, while Grok 4 is closed.

Direct benchmark comparisons are unavailable — LLaMA 2 and Grok 4 don't publish scores on any of the same benchmarks.