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.
1M2k
Overview
CompanyGoogleMeta
Release dateFeb 5 2025Feb 24 2023
AccessClosedOpen Weight
Model detailsView modelView model

Other comparisons

Gemini 2.0 Flash-LitevsClaude Haiku 5.5LLaMA 1vsClaude Haiku 5.5Gemini 2.0 Flash-LitevsGPT-6.1 SolLLaMA 1vsGPT-6.1 SolGemini 2.0 Flash-LitevsGrok 4.7LLaMA 1vsGrok 4.7Gemini 2.0 Flash-LitevsDeepSeek-V4.1-Flash-1017LLaMA 1vsDeepSeek-V4.1-Flash-1017Gemini 2.0 Flash-LitevsMistral Large 4LLaMA 1vsMistral Large 4Gemini 2.0 Flash-LitevsKimi K3LLaMA 1vsKimi K3

Frequently asked questions

Gemini 2.0 Flash-Lite and LLaMA 1 don't publish scores on any of the same benchmarks, so there's no direct head-to-head comparison. LLaMA 1 shipped 712 days before Gemini 2.0 Flash-Lite, so benchmark comparisons should account for the intervening progress.

Context windows are 1M (Gemini 2.0 Flash-Lite) vs 2k (LLaMA 1). Gemini 2.0 Flash-Lite is closed, while LLaMA 1 is open weight.

Direct benchmark comparisons are unavailable — Gemini 2.0 Flash-Lite and LLaMA 1 don't publish scores on any of the same benchmarks.