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.
24B253B
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.
40k128k
These models have no shared benchmark scores.
Overview
CompanyMistralNVIDIA
Release dateJun 10 2025Apr 8 2025
AccessClosedOpen Weight
Model detailsView modelView model

Frequently asked questions

Magistral Small and Llama Nemotron Ultra 253B don't publish scores on any of the same benchmarks, so there's no direct head-to-head comparison. Llama Nemotron Ultra 253B shipped 63 days before Magistral Small, so benchmark comparisons should account for the intervening progress.

Magistral Small has 24B parameters, while Llama Nemotron Ultra 253B has 253B. Context windows are 40k (Magistral Small) vs 128k (Llama Nemotron Ultra 253B). Magistral Small is closed, while Llama Nemotron Ultra 253B is open weight.

Direct benchmark comparisons are unavailable — Magistral Small and Llama Nemotron Ultra 253B don't publish scores on any of the same benchmarks.