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.
8B/49B—
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.
128k400k
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
CompanyNVIDIAOpenAI
Release dateMar 18 2025Nov 19 2025
AccessOpen WeightClosed
Model detailsView modelView model

Other comparisons

Llama Nemotron (Nano/Super)vsClaude Haiku 5.5GPT-5.1-Codex-MaxvsClaude Haiku 5.5Llama Nemotron (Nano/Super)vsGemini 4 ArgonGPT-5.1-Codex-MaxvsGemini 4 ArgonLlama Nemotron (Nano/Super)vsMuse Spark OpenGPT-5.1-Codex-MaxvsMuse Spark OpenLlama Nemotron (Nano/Super)vsGrok 4.7GPT-5.1-Codex-MaxvsGrok 4.7Llama Nemotron (Nano/Super)vsDeepSeek-V4.1-Flash-1017GPT-5.1-Codex-MaxvsDeepSeek-V4.1-Flash-1017Llama Nemotron (Nano/Super)vsMistral Large 4GPT-5.1-Codex-MaxvsMistral Large 4

Frequently asked questions

Llama Nemotron (Nano/Super) 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. Llama Nemotron (Nano/Super) shipped 246 days before GPT-5.1-Codex-Max, so benchmark comparisons should account for the intervening progress.

Context windows are 128k (Llama Nemotron (Nano/Super)) vs 400k (GPT-5.1-Codex-Max). Llama Nemotron (Nano/Super) is open weight, while GPT-5.1-Codex-Max is closed.

Direct benchmark comparisons are unavailable — Llama Nemotron (Nano/Super) and GPT-5.1-Codex-Max don't publish scores on any of the same benchmarks.