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.
8B—
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.
64k400k
These models have no shared benchmark scores.
Overview
CompanyNVIDIAOpenAI
Release dateOct 23 2026Sep 15 2025
AccessOpen WeightClosed
Model detailsView modelView model

Frequently asked questions

Nemotron 3.5 Bolt E4B 4GB and GPT-5-Codex don't publish scores on any of the same benchmarks, so there's no direct head-to-head comparison. GPT-5-Codex shipped 403 days before Nemotron 3.5 Bolt E4B 4GB, so benchmark comparisons should account for the intervening progress.

Context windows are 64k (Nemotron 3.5 Bolt E4B 4GB) vs 400k (GPT-5-Codex). Nemotron 3.5 Bolt E4B 4GB is open weight, while GPT-5-Codex is closed.

Direct benchmark comparisons are unavailable — Nemotron 3.5 Bolt E4B 4GB and GPT-5-Codex don't publish scores on any of the same benchmarks.