AI Model Release Tracker

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/3.25B—
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.
32k400k
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.
—$1.25Azure
Cheapest outputLowest output rate across every provider on OpenRouter, the lab included. May come from a different provider than the cheapest input.
—$10.00Azure
—$750Azure
Overview
CompanyGoogleOpenAI
Release dateDec 6 2023Nov 19 2025
AccessClosedClosed
Model detailsView modelView model

Other comparisons

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Frequently asked questions

Gemini 1.0 Nano and GPT-5.1-Codex-Max don't publish scores on any of the same benchmarks, so there's no direct head-to-head comparison. Gemini 1.0 Nano shipped 714 days before GPT-5.1-Codex-Max, so benchmark comparisons should account for the intervening progress.

Context windows are 32k (Gemini 1.0 Nano) vs 400k (GPT-5.1-Codex-Max).

Direct benchmark comparisons are unavailable — Gemini 1.0 Nano and GPT-5.1-Codex-Max don't publish scores on any of the same benchmarks.