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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.
—16B/236B
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
These models have no shared benchmark scores.
Overview
CompanyAnthropicDeepSeek
Release dateOct 22 2024Jun 17 2024
AccessClosedOpen Weight
Model detailsView modelView model

Other comparisons

Claude 3.5 Sonnet (upgraded)vsGPT-6.1 SolDeepSeek Coder V2vsGPT-6.1 SolClaude 3.5 Sonnet (upgraded)vsGemini 4 ArgonDeepSeek Coder V2vsGemini 4 ArgonClaude 3.5 Sonnet (upgraded)vsMuse Spark OpenDeepSeek Coder V2vsMuse Spark OpenClaude 3.5 Sonnet (upgraded)vsGrok 4.7DeepSeek Coder V2vsGrok 4.7Claude 3.5 Sonnet (upgraded)vsMistral Large 4DeepSeek Coder V2vsMistral Large 4Claude 3.5 Sonnet (upgraded)vsKimi K3DeepSeek Coder V2vsKimi K3

Frequently asked questions

Claude 3.5 Sonnet (upgraded) and DeepSeek Coder V2 don't publish scores on any of the same benchmarks, so there's no direct head-to-head comparison. DeepSeek Coder V2 shipped 127 days before Claude 3.5 Sonnet (upgraded), so benchmark comparisons should account for the intervening progress.

Context windows are 200k (Claude 3.5 Sonnet (upgraded)) vs 128k (DeepSeek Coder V2). Claude 3.5 Sonnet (upgraded) is closed, while DeepSeek Coder V2 is open weight.

Direct benchmark comparisons are unavailable — Claude 3.5 Sonnet (upgraded) and DeepSeek Coder V2 don't publish scores on any of the same benchmarks.