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 | 314B |
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. | 128k | 8k |
| Overview | ||
| Company | NVIDIA | SpaceXSI |
| Release date | Oct 15 2024 | Nov 3 2023 |
| Access | Open Weight | Open Weight |
| Model details | View model | View model |
Other comparisons
Llama 3.1 Nemotron 70BvsClaude Haiku 5.5Grok‑1vsClaude Haiku 5.5Llama 3.1 Nemotron 70BvsGPT-6.1 SolGrok‑1vsGPT-6.1 SolLlama 3.1 Nemotron 70BvsGemini 4 ArgonGrok‑1vsGemini 4 ArgonLlama 3.1 Nemotron 70BvsMuse Spark OpenGrok‑1vsMuse Spark OpenLlama 3.1 Nemotron 70BvsDeepSeek-V4.1-Flash-1017Grok‑1vsDeepSeek-V4.1-Flash-1017Llama 3.1 Nemotron 70BvsMistral Large 4Grok‑1vsMistral Large 4Frequently asked questions
Llama 3.1 Nemotron 70B and Grok‑1 don't publish scores on any of the same benchmarks, so there's no direct head-to-head comparison. Grok‑1 shipped 347 days before Llama 3.1 Nemotron 70B, so benchmark comparisons should account for the intervening progress.
Llama 3.1 Nemotron 70B has 70B parameters, while Grok‑1 has 314B. Context windows are 128k (Llama 3.1 Nemotron 70B) vs 8k (Grok‑1).
Direct benchmark comparisons are unavailable — Llama 3.1 Nemotron 70B and Grok‑1 don't publish scores on any of the same benchmarks.