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 |
| These models have no shared benchmark scores. | ||
GPQA DiamondScience — Graduate-level science questions in biology, physics, and chemistry — hard enough that subject-matter PhDs score around 65%. Higher is better. | 40.4% | — |
| Overview | ||
| Company | Anthropic | DeepSeek |
| Release date | Mar 4 2024 | Nov 29 2023 |
| Access | Closed | Open Weight |
| Model details | View model | View model |
Other comparisons
Claude 3 SonnetvsGPT-6.1 SolDeepSeek-LLMvsGPT-6.1 SolClaude 3 SonnetvsGemini 4 ArgonDeepSeek-LLMvsGemini 4 ArgonClaude 3 SonnetvsMuse Spark OpenDeepSeek-LLMvsMuse Spark OpenClaude 3 SonnetvsGrok 4.7DeepSeek-LLMvsGrok 4.7Claude 3 SonnetvsMistral Large 4DeepSeek-LLMvsMistral Large 4Claude 3 SonnetvsKimi K3DeepSeek-LLMvsKimi K3Frequently asked questions
Claude 3 Sonnet and DeepSeek-LLM don't publish scores on any of the same benchmarks, so there's no direct head-to-head comparison. DeepSeek-LLM shipped 96 days before Claude 3 Sonnet, so benchmark comparisons should account for the intervening progress.
Context windows are 200k (Claude 3 Sonnet) vs 4k (DeepSeek-LLM). Claude 3 Sonnet is closed, while DeepSeek-LLM is open weight.
Direct benchmark comparisons are unavailable — Claude 3 Sonnet and DeepSeek-LLM don't publish scores on any of the same benchmarks.