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.
—30B
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.
1M1M
API pricingUSD per 1M tokens · lower wins
Cheapest inputLowest input rate across every provider on OpenRouter, the lab included. The cheapest endpoint may run a quantised build or a shorter context — see "Available from" on the model page.
—$0.00Nvidia
Cheapest outputLowest output rate across every provider on OpenRouter, the lab included. May come from a different provider than the cheapest input.
—$0.00Nvidia
—$11.00Darkbloom · int4
These models have no shared benchmark scores.
Overview
CompanyGoogleNVIDIA
Release dateMay 14 2024Aug 11 2026
AccessClosedOpen Source
Model detailsView modelView model

Frequently asked questions

Gemini 1.5 Flash and Nemotron 3.5 Lightning don't publish scores on any of the same benchmarks, so there's no direct head-to-head comparison. Gemini 1.5 Flash shipped 819 days before Nemotron 3.5 Lightning, so benchmark comparisons should account for the intervening progress.

Context windows are 1M (Gemini 1.5 Flash) vs 1M (Nemotron 3.5 Lightning). Gemini 1.5 Flash is closed, while Nemotron 3.5 Lightning is open source.

Direct benchmark comparisons are unavailable — Gemini 1.5 Flash and Nemotron 3.5 Lightning don't publish scores on any of the same benchmarks.