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.
9B/27B8B/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.
8k128k
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.
$0.65NextBit—
Cheapest outputLowest output rate across every provider on OpenRouter, the lab included. May come from a different provider than the cheapest input.
$0.65NextBit—
$163NextBit · int4—
Overview
CompanyGoogleNVIDIA
Release dateJun 27 2024Mar 18 2025
AccessOpen WeightOpen Weight
Model detailsView modelView model

Other comparisons

Gemma 2vsClaude Haiku 5.5Llama Nemotron (Nano/Super)vsClaude Haiku 5.5Gemma 2vsGPT-6.1 SolLlama Nemotron (Nano/Super)vsGPT-6.1 SolGemma 2vsMuse Spark OpenLlama Nemotron (Nano/Super)vsMuse Spark OpenGemma 2vsGrok 4.7Llama Nemotron (Nano/Super)vsGrok 4.7Gemma 2vsDeepSeek-V4.1-Flash-1017Llama Nemotron (Nano/Super)vsDeepSeek-V4.1-Flash-1017Gemma 2vsMistral Large 4Llama Nemotron (Nano/Super)vsMistral Large 4

Frequently asked questions

Gemma 2 and Llama Nemotron (Nano/Super) don't publish scores on any of the same benchmarks, so there's no direct head-to-head comparison. Gemma 2 shipped 264 days before Llama Nemotron (Nano/Super), so benchmark comparisons should account for the intervening progress.

Gemma 2 has 9B/27B parameters, while Llama Nemotron (Nano/Super) has 8B/49B. Context windows are 8k (Gemma 2) vs 128k (Llama Nemotron (Nano/Super)).

Direct benchmark comparisons are unavailable — Gemma 2 and Llama Nemotron (Nano/Super) don't publish scores on any of the same benchmarks.