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.
236B9B/27B
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.
128k8k
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
CompanyDeepSeekGoogle
Release dateMay 6 2024Jun 27 2024
AccessOpen WeightOpen Weight
Model detailsView modelView model

Other comparisons

DeepSeek V2vsClaude Haiku 5.5Gemma 2vsClaude Haiku 5.5DeepSeek V2vsGPT-6.1 SolGemma 2vsGPT-6.1 SolDeepSeek V2vsMuse Spark OpenGemma 2vsMuse Spark OpenDeepSeek V2vsGrok 4.7Gemma 2vsGrok 4.7DeepSeek V2vsMistral Large 4Gemma 2vsMistral Large 4DeepSeek V2vsKimi K3Gemma 2vsKimi K3

Frequently asked questions

DeepSeek V2 and Gemma 2 don't publish scores on any of the same benchmarks, so there's no direct head-to-head comparison. DeepSeek V2 shipped 52 days before Gemma 2, so benchmark comparisons should account for the intervening progress.

DeepSeek V2 has 236B parameters, while Gemma 2 has 9B/27B. Context windows are 128k (DeepSeek V2) vs 8k (Gemma 2).

Direct benchmark comparisons are unavailable — DeepSeek V2 and Gemma 2 don't publish scores on any of the same benchmarks.