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/13B/34B—
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.
16k128k
Overview
CompanyMetaSpaceXSI
Release dateAug 24 2023Aug 14 2024
AccessOpen WeightClosed
Model detailsView modelView model

Other comparisons

Code LlamavsClaude Haiku 5.5Grok‑2vsClaude Haiku 5.5Code LlamavsGPT-6.1 SolGrok‑2vsGPT-6.1 SolCode LlamavsGemini 4 ArgonGrok‑2vsGemini 4 ArgonCode LlamavsDeepSeek-V4.1-Flash-1017Grok‑2vsDeepSeek-V4.1-Flash-1017Code LlamavsMistral Large 4Grok‑2vsMistral Large 4Code LlamavsKimi K3Grok‑2vsKimi K3

Frequently asked questions

Code Llama and Grok‑2 don't publish scores on any of the same benchmarks, so there's no direct head-to-head comparison. Code Llama shipped 356 days before Grok‑2, so benchmark comparisons should account for the intervening progress.

Context windows are 16k (Code Llama) vs 128k (Grok‑2). Code Llama is open weight, while Grok‑2 is closed.

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