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.
16B/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 dateJun 17 2024Jun 27 2024
AccessOpen WeightOpen Weight
Model detailsView modelView model

Other comparisons

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

Frequently asked questions

DeepSeek Coder V2 and Gemma 2 don't publish scores on any of the same benchmarks, so there's no direct head-to-head comparison. DeepSeek Coder V2 shipped 10 days before Gemma 2, so benchmark comparisons should account for the intervening progress.

DeepSeek Coder V2 has 16B/236B parameters, while Gemma 2 has 9B/27B. Context windows are 128k (DeepSeek Coder V2) vs 8k (Gemma 2).

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