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. | — | 1.3B/5.7B/6.7B/33B |
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 | 16k |
| Overview | ||
| Company | Anthropic | DeepSeek |
| Release date | Nov 21 2023 | Nov 2 2023 |
| Access | Closed | Open Weight |
| Model details | View model | View model |
Other comparisons
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Claude 2.1 and DeepSeek Coder don't publish scores on any of the same benchmarks, so there's no direct head-to-head comparison. DeepSeek Coder shipped 19 days before Claude 2.1, so benchmark comparisons should account for the intervening progress.
Context windows are 200k (Claude 2.1) vs 16k (DeepSeek Coder). Claude 2.1 is closed, while DeepSeek Coder is open weight.
Direct benchmark comparisons are unavailable — Claude 2.1 and DeepSeek Coder don't publish scores on any of the same benchmarks.