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/13B/70B |
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 | Meta |
| Release date | Nov 21 2023 | Jul 18 2023 |
| Access | Closed | Open Weight |
| Model details | View model | View model |
Other comparisons
Claude 2.1vsGPT-6.1 SolLLaMA 2vsGPT-6.1 SolClaude 2.1vsGemini 4 ArgonLLaMA 2vsGemini 4 ArgonClaude 2.1vsGrok 4.7LLaMA 2vsGrok 4.7Claude 2.1vsDeepSeek-V4.1-Flash-1017LLaMA 2vsDeepSeek-V4.1-Flash-1017Claude 2.1vsMistral Large 4LLaMA 2vsMistral Large 4Claude 2.1vsKimi K3LLaMA 2vsKimi K3Frequently asked questions
Claude 2.1 and LLaMA 2 don't publish scores on any of the same benchmarks, so there's no direct head-to-head comparison. LLaMA 2 shipped 126 days before Claude 2.1, so benchmark comparisons should account for the intervening progress.
Context windows are 200k (Claude 2.1) vs 4k (LLaMA 2). Claude 2.1 is closed, while LLaMA 2 is open weight.
Direct benchmark comparisons are unavailable — Claude 2.1 and LLaMA 2 don't publish scores on any of the same benchmarks.