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. | 128k | 128k |
| Overview | ||
| Company | NVIDIA | SpaceXSI |
| Release date | Oct 15 2024 | Mar 29 2024 |
| Access | Open Weight | Closed |
| Model details | View model | View model |
Other comparisons
Llama 3.1 Nemotron 70BvsClaude Haiku 5.5Grok‑1.5vsClaude Haiku 5.5Llama 3.1 Nemotron 70BvsGPT-6.1 SolGrok‑1.5vsGPT-6.1 SolLlama 3.1 Nemotron 70BvsGemini 4 ArgonGrok‑1.5vsGemini 4 ArgonLlama 3.1 Nemotron 70BvsMuse Spark OpenGrok‑1.5vsMuse Spark OpenLlama 3.1 Nemotron 70BvsDeepSeek-V4.1-Flash-1017Grok‑1.5vsDeepSeek-V4.1-Flash-1017Llama 3.1 Nemotron 70BvsMistral Large 4Grok‑1.5vsMistral Large 4Frequently asked questions
Llama 3.1 Nemotron 70B and Grok‑1.5 don't publish scores on any of the same benchmarks, so there's no direct head-to-head comparison. Grok‑1.5 shipped 200 days before Llama 3.1 Nemotron 70B, so benchmark comparisons should account for the intervening progress.
Context windows are 128k (Llama 3.1 Nemotron 70B) vs 128k (Grok‑1.5). Llama 3.1 Nemotron 70B is open weight, while Grok‑1.5 is closed.
Direct benchmark comparisons are unavailable — Llama 3.1 Nemotron 70B and Grok‑1.5 don't publish scores on any of the same benchmarks.