AI Model Release Tracker

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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/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.
2k128k
Overview
CompanyMetaSpaceXSI
Release dateFeb 24 2023Aug 14 2024
AccessOpen WeightClosed
Model detailsView modelView model

Other comparisons

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

Frequently asked questions

LLaMA 1 and Grok‑2 don't publish scores on any of the same benchmarks, so there's no direct head-to-head comparison. LLaMA 1 shipped 537 days before Grok‑2, so benchmark comparisons should account for the intervening progress.

Context windows are 2k (LLaMA 1) vs 128k (Grok‑2). LLaMA 1 is open weight, while Grok‑2 is closed.

Direct benchmark comparisons are unavailable — LLaMA 1 and Grok‑2 don't publish scores on any of the same benchmarks.