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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.
8B253B
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.
1M128k
These models have no shared benchmark scores.
Overview
CompanyGoogleNVIDIA
Release dateOct 3 2024Apr 8 2025
AccessClosedOpen Weight
Model detailsView modelView model

Frequently asked questions

Gemini 1.5 Flash-8B and Llama Nemotron Ultra 253B don't publish scores on any of the same benchmarks, so there's no direct head-to-head comparison. Gemini 1.5 Flash-8B shipped 187 days before Llama Nemotron Ultra 253B, so benchmark comparisons should account for the intervening progress.

Gemini 1.5 Flash-8B has 8B parameters, while Llama Nemotron Ultra 253B has 253B. Context windows are 1M (Gemini 1.5 Flash-8B) vs 128k (Llama Nemotron Ultra 253B). Gemini 1.5 Flash-8B is closed, while Llama Nemotron Ultra 253B is open weight.

Direct benchmark comparisons are unavailable — Gemini 1.5 Flash-8B and Llama Nemotron Ultra 253B don't publish scores on any of the same benchmarks.