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.
—671B
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.
200k128k
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
These models have no shared benchmark scores.
Overview
CompanyAnthropicDeepSeek
Release dateOct 22 2024Mar 24 2025
AccessClosedOpen Weight
Model detailsView modelView model

Frequently asked questions

Claude 3.5 Sonnet (upgraded) and DeepSeek V3-0324 don't publish scores on any of the same benchmarks, so there's no direct head-to-head comparison. Claude 3.5 Sonnet (upgraded) shipped 153 days before DeepSeek V3-0324, so benchmark comparisons should account for the intervening progress.

Context windows are 200k (Claude 3.5 Sonnet (upgraded)) vs 128k (DeepSeek V3-0324). Claude 3.5 Sonnet (upgraded) is closed, while DeepSeek V3-0324 is open weight.

Direct benchmark comparisons are unavailable — Claude 3.5 Sonnet (upgraded) and DeepSeek V3-0324 don't publish scores on any of the same benchmarks.