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. | — | 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. | 200k | 128k |
| Overview | ||
| Company | Anthropic | DeepSeek |
| Release date | Nov 21 2023 | May 6 2024 |
| Access | Closed | Open Weight |
| Model details | View model | View model |
Other comparisons
Claude 2.1vsGPT-6.1 SolDeepSeek V2vsGPT-6.1 SolClaude 2.1vsGemini 4 ArgonDeepSeek V2vsGemini 4 ArgonClaude 2.1vsMuse Spark OpenDeepSeek V2vsMuse Spark OpenClaude 2.1vsGrok 4.7DeepSeek V2vsGrok 4.7Claude 2.1vsMistral Large 4DeepSeek V2vsMistral Large 4Claude 2.1vsKimi K3DeepSeek V2vsKimi K3Frequently asked questions
Claude 2.1 and DeepSeek V2 don't publish scores on any of the same benchmarks, so there's no direct head-to-head comparison. Claude 2.1 shipped 167 days before DeepSeek V2, so benchmark comparisons should account for the intervening progress.
Context windows are 200k (Claude 2.1) vs 128k (DeepSeek V2). Claude 2.1 is closed, while DeepSeek V2 is open weight.
Direct benchmark comparisons are unavailable — Claude 2.1 and DeepSeek V2 don't publish scores on any of the same benchmarks.