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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.
—253B
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.
2M128k
These models have no shared benchmark scores.
Overview
CompanyGoogleNVIDIA
Release dateSep 24 2024Apr 8 2025
AccessClosedOpen Weight
Model detailsView modelView model

Frequently asked questions

Gemini 1.5 Pro-002 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 Pro-002 shipped 196 days before Llama Nemotron Ultra 253B, so benchmark comparisons should account for the intervening progress.

Context windows are 2M (Gemini 1.5 Pro-002) vs 128k (Llama Nemotron Ultra 253B). Gemini 1.5 Pro-002 is closed, while Llama Nemotron Ultra 253B is open weight.

Direct benchmark comparisons are unavailable — Gemini 1.5 Pro-002 and Llama Nemotron Ultra 253B don't publish scores on any of the same benchmarks.