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.
671B8B/70B
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.
$0.25SiliconFlow—
Cheapest outputLowest output rate across every provider on OpenRouter, the lab included. May come from a different provider than the cheapest input.
$1.00SiliconFlow—
$100SiliconFlow · fp8—
Overview
CompanyDeepSeekMeta
Release dateMar 24 2025Apr 18 2024
AccessOpen WeightOpen Weight
Model detailsView modelView model

Frequently asked questions

DeepSeek V3-0324 and LLaMA 3 (8B/70B) don't publish scores on any of the same benchmarks, so there's no direct head-to-head comparison. LLaMA 3 (8B/70B) shipped 340 days before DeepSeek V3-0324, so benchmark comparisons should account for the intervening progress.

DeepSeek V3-0324 has 671B parameters, while LLaMA 3 (8B/70B) has 8B/70B. Context windows are 128k (DeepSeek V3-0324) vs 8k (LLaMA 3 (8B/70B)).

Direct benchmark comparisons are unavailable — DeepSeek V3-0324 and LLaMA 3 (8B/70B) don't publish scores on any of the same benchmarks.