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.
1.8B/3.25B12B
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
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.
—$0.0166Io Net
Cheapest outputLowest output rate across every provider on OpenRouter, the lab included. May come from a different provider than the cheapest input.
—$0.0216Io Net
—$4.40Io Net · fp16
Overview
CompanyGoogleMistral
Release dateDec 6 2023Jul 18 2024
AccessClosedOpen Weight
Model detailsView modelView model

Frequently asked questions

Gemini 1.0 Nano and Mistral NeMo don't publish scores on any of the same benchmarks, so there's no direct head-to-head comparison. Gemini 1.0 Nano shipped 225 days before Mistral NeMo, so benchmark comparisons should account for the intervening progress.

Gemini 1.0 Nano has 1.8B/3.25B parameters, while Mistral NeMo has 12B. Context windows are 32k (Gemini 1.0 Nano) vs 128k (Mistral NeMo). Gemini 1.0 Nano is closed, while Mistral NeMo is open weight.

Direct benchmark comparisons are unavailable — Gemini 1.0 Nano and Mistral NeMo don't publish scores on any of the same benchmarks.