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.
2.8T9B
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.
1M128k
These models have no shared benchmark scores.
Overview
CompanyMoonshot AINVIDIA
Release dateOct 23 2026Aug 18 2025
AccessClosedOpen Weight
Model detailsView modelView model

Frequently asked questions

Kimi K3.1 Pro Highspeed and Nemotron Nano 2 don't publish scores on any of the same benchmarks, so there's no direct head-to-head comparison. Nemotron Nano 2 shipped 431 days before Kimi K3.1 Pro Highspeed, so benchmark comparisons should account for the intervening progress.

Kimi K3.1 Pro Highspeed has 2.8T parameters, while Nemotron Nano 2 has 9B. Context windows are 1M (Kimi K3.1 Pro Highspeed) vs 128k (Nemotron Nano 2). Kimi K3.1 Pro Highspeed is closed, while Nemotron Nano 2 is open weight.

Direct benchmark comparisons are unavailable — Kimi K3.1 Pro Highspeed and Nemotron Nano 2 don't publish scores on any of the same benchmarks.