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. | 32k | 128k |
| Overview | ||
| Company | NVIDIA | |
| Release date | Feb 8 2024 | Oct 15 2024 |
| Access | Closed | Open Weight |
| Model details | View model | View model |
Other comparisons
Gemini 1.0 UltravsClaude Haiku 5.5Llama 3.1 Nemotron 70BvsClaude Haiku 5.5Gemini 1.0 UltravsGPT-6.1 SolLlama 3.1 Nemotron 70BvsGPT-6.1 SolGemini 1.0 UltravsMuse Spark OpenLlama 3.1 Nemotron 70BvsMuse Spark OpenGemini 1.0 UltravsGrok 4.7Llama 3.1 Nemotron 70BvsGrok 4.7Gemini 1.0 UltravsDeepSeek-V4.1-Flash-1017Llama 3.1 Nemotron 70BvsDeepSeek-V4.1-Flash-1017Gemini 1.0 UltravsMistral Large 4Llama 3.1 Nemotron 70BvsMistral Large 4Frequently asked questions
Gemini 1.0 Ultra 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. Gemini 1.0 Ultra shipped 250 days before Llama 3.1 Nemotron 70B, so benchmark comparisons should account for the intervening progress.
Context windows are 32k (Gemini 1.0 Ultra) vs 128k (Llama 3.1 Nemotron 70B). Gemini 1.0 Ultra is closed, while Llama 3.1 Nemotron 70B is open weight.
Direct benchmark comparisons are unavailable — Gemini 1.0 Ultra and Llama 3.1 Nemotron 70B don't publish scores on any of the same benchmarks.