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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
Overview
CompanyAnthropicDeepSeek
Release dateNov 21 2023Mar 24 2025
AccessClosedOpen Weight
Model detailsView modelView model

Other comparisons

Claude 2.1vsGPT-6.1 SolDeepSeek V3-0324vsGPT-6.1 SolClaude 2.1vsGemini 4 ArgonDeepSeek V3-0324vsGemini 4 ArgonClaude 2.1vsMuse Spark OpenDeepSeek V3-0324vsMuse Spark OpenClaude 2.1vsGrok 4.7DeepSeek V3-0324vsGrok 4.7Claude 2.1vsMistral Large 4DeepSeek V3-0324vsMistral Large 4Claude 2.1vsKimi K3DeepSeek V3-0324vsKimi K3

Frequently asked questions

Claude 2.1 and DeepSeek V3-0324 don't publish scores on any of the same benchmarks, so there's no direct head-to-head comparison. Claude 2.1 shipped 489 days before DeepSeek V3-0324, so benchmark comparisons should account for the intervening progress.

Context windows are 200k (Claude 2.1) vs 128k (DeepSeek V3-0324). Claude 2.1 is closed, while DeepSeek V3-0324 is open weight.

Direct benchmark comparisons are unavailable — Claude 2.1 and DeepSeek V3-0324 don't publish scores on any of the same benchmarks.