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.
256k128k
These models have no shared benchmark scores.
Overview
CompanyMistralNVIDIA
Release dateDec 9 2025Apr 8 2025
AccessOpen WeightOpen Weight
Model detailsView modelView model

Frequently asked questions

Devstral Small 2 (24B) 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 245 days before Devstral Small 2 (24B), so benchmark comparisons should account for the intervening progress.

Devstral Small 2 (24B) has 24B parameters, while Llama Nemotron Ultra 253B has 253B. Context windows are 256k (Devstral Small 2 (24B)) vs 128k (Llama Nemotron Ultra 253B).

Direct benchmark comparisons are unavailable — Devstral Small 2 (24B) and Llama Nemotron Ultra 253B don't publish scores on any of the same benchmarks.