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. | — | 7B/67B |
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 | 4k |
| Overview | ||
| Company | Anthropic | DeepSeek |
| Release date | Nov 21 2023 | Nov 29 2023 |
| Access | Closed | Open Weight |
| Model details | View model | View model |
Other comparisons
Claude 2.1vsGPT-6.1 SolDeepSeek-LLMvsGPT-6.1 SolClaude 2.1vsGemini 4 ArgonDeepSeek-LLMvsGemini 4 ArgonClaude 2.1vsMuse Spark OpenDeepSeek-LLMvsMuse Spark OpenClaude 2.1vsGrok 4.7DeepSeek-LLMvsGrok 4.7Claude 2.1vsMistral Large 4DeepSeek-LLMvsMistral Large 4Claude 2.1vsKimi K3DeepSeek-LLMvsKimi K3Frequently asked questions
Claude 2.1 and DeepSeek-LLM don't publish scores on any of the same benchmarks, so there's no direct head-to-head comparison. Claude 2.1 shipped 8 days before DeepSeek-LLM, so benchmark comparisons should account for the intervening progress.
Context windows are 200k (Claude 2.1) vs 4k (DeepSeek-LLM). Claude 2.1 is closed, while DeepSeek-LLM is open weight.
Direct benchmark comparisons are unavailable — Claude 2.1 and DeepSeek-LLM don't publish scores on any of the same benchmarks.