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.
22B253B
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.
32k128k
These models have no shared benchmark scores.
Overview
CompanyMistralNVIDIA
Release dateMay 29 2024Apr 8 2025
AccessClosedOpen Weight
Model detailsView modelView model

Frequently asked questions

Codestral 22B and Llama Nemotron Ultra 253B don't publish scores on any of the same benchmarks, so there's no direct head-to-head comparison. Codestral 22B shipped 314 days before Llama Nemotron Ultra 253B, so benchmark comparisons should account for the intervening progress.

Codestral 22B has 22B parameters, while Llama Nemotron Ultra 253B has 253B. Context windows are 32k (Codestral 22B) vs 128k (Llama Nemotron Ultra 253B). Codestral 22B is closed, while Llama Nemotron Ultra 253B is open weight.

Direct benchmark comparisons are unavailable — Codestral 22B and Llama Nemotron Ultra 253B don't publish scores on any of the same benchmarks.