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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/34B48B
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.
16k1M
Overview
CompanyMetaMoonshot AI
Release dateAug 24 2023Oct 30 2025
AccessOpen WeightOpen Weight
Model detailsView modelView model

Other comparisons

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Frequently asked questions

Code Llama and Kimi Linear don't publish scores on any of the same benchmarks, so there's no direct head-to-head comparison. Code Llama shipped 798 days before Kimi Linear, so benchmark comparisons should account for the intervening progress.

Code Llama has 7B/13B/34B parameters, while Kimi Linear has 48B. Context windows are 16k (Code Llama) vs 1M (Kimi Linear).

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