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.
671B7B/13B/33B/65B
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.
128k2k
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.
$0.27SiliconFlow—
Cheapest outputLowest output rate across every provider on OpenRouter, the lab included. May come from a different provider than the cheapest input.
$0.41SiliconFlow—
$74.50SiliconFlow · fp8—
Overview
CompanyDeepSeekMeta
Release dateSep 29 2025Feb 24 2023
AccessOpen WeightOpen Weight
Model detailsView modelView model

Other comparisons

DeepSeek V3.2 ExpvsClaude Haiku 5.5LLaMA 1vsClaude Haiku 5.5DeepSeek V3.2 ExpvsGPT-6.1 SolLLaMA 1vsGPT-6.1 SolDeepSeek V3.2 ExpvsGemini 4 ArgonLLaMA 1vsGemini 4 ArgonDeepSeek V3.2 ExpvsGrok 4.7LLaMA 1vsGrok 4.7DeepSeek V3.2 ExpvsMistral Large 4LLaMA 1vsMistral Large 4DeepSeek V3.2 ExpvsKimi K3LLaMA 1vsKimi K3

Frequently asked questions

DeepSeek V3.2 Exp and LLaMA 1 don't publish scores on any of the same benchmarks, so there's no direct head-to-head comparison. LLaMA 1 shipped 948 days before DeepSeek V3.2 Exp, so benchmark comparisons should account for the intervening progress.

DeepSeek V3.2 Exp has 671B parameters, while LLaMA 1 has 7B/13B/33B/65B. Context windows are 128k (DeepSeek V3.2 Exp) vs 2k (LLaMA 1).

Direct benchmark comparisons are unavailable — DeepSeek V3.2 Exp and LLaMA 1 don't publish scores on any of the same benchmarks.