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. | — | 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 | 128k |
| Overview | ||
| Company | Anthropic | NVIDIA |
| Release date | Nov 21 2023 | Oct 15 2024 |
| Access | Closed | Open Weight |
| Model details | View model | View model |
Other comparisons
Claude 2.1vsGPT-6.1 SolLlama 3.1 Nemotron 70BvsGPT-6.1 SolClaude 2.1vsGemini 4 ArgonLlama 3.1 Nemotron 70BvsGemini 4 ArgonClaude 2.1vsMuse Spark OpenLlama 3.1 Nemotron 70BvsMuse Spark OpenClaude 2.1vsGrok 4.7Llama 3.1 Nemotron 70BvsGrok 4.7Claude 2.1vsDeepSeek-V4.1-Flash-1017Llama 3.1 Nemotron 70BvsDeepSeek-V4.1-Flash-1017Claude 2.1vsMistral Large 4Llama 3.1 Nemotron 70BvsMistral Large 4Frequently asked questions
Claude 2.1 and Llama 3.1 Nemotron 70B don't publish scores on any of the same benchmarks, so there's no direct head-to-head comparison. Claude 2.1 shipped 329 days before Llama 3.1 Nemotron 70B, so benchmark comparisons should account for the intervening progress.
Context windows are 200k (Claude 2.1) vs 128k (Llama 3.1 Nemotron 70B). Claude 2.1 is closed, while Llama 3.1 Nemotron 70B is open weight.
Direct benchmark comparisons are unavailable — Claude 2.1 and Llama 3.1 Nemotron 70B don't publish scores on any of the same benchmarks.