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/27B340B
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.
8k4k
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 2024Jun 14 2024
AccessOpen WeightOpen Weight
Model detailsView modelView model

Other comparisons

Gemma 2vsClaude Haiku 5.5Nemotron-4 340BvsClaude Haiku 5.5Gemma 2vsGPT-6.1 SolNemotron-4 340BvsGPT-6.1 SolGemma 2vsMuse Spark OpenNemotron-4 340BvsMuse Spark OpenGemma 2vsGrok 4.7Nemotron-4 340BvsGrok 4.7Gemma 2vsDeepSeek-V4.1-Flash-1017Nemotron-4 340BvsDeepSeek-V4.1-Flash-1017Gemma 2vsMistral Large 4Nemotron-4 340BvsMistral Large 4

Frequently asked questions

Gemma 2 and Nemotron-4 340B don't publish scores on any of the same benchmarks, so there's no direct head-to-head comparison. Nemotron-4 340B shipped 13 days before Gemma 2, so benchmark comparisons should account for the intervening progress.

Gemma 2 has 9B/27B parameters, while Nemotron-4 340B has 340B. Context windows are 8k (Gemma 2) vs 4k (Nemotron-4 340B).

Direct benchmark comparisons are unavailable — Gemma 2 and Nemotron-4 340B don't publish scores on any of the same benchmarks.