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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/33B/65B314B
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.
2k8k
Overview
CompanyMetaSpaceXSI
Release dateFeb 24 2023Nov 3 2023
AccessOpen WeightOpen Weight
Model detailsView modelView model

Other comparisons

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

Frequently asked questions

LLaMA 1 and Grok‑1 don't publish scores on any of the same benchmarks, so there's no direct head-to-head comparison. LLaMA 1 shipped 252 days before Grok‑1, so benchmark comparisons should account for the intervening progress.

LLaMA 1 has 7B/13B/33B/65B parameters, while Grok‑1 has 314B. Context windows are 2k (LLaMA 1) vs 8k (Grok‑1).

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