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. | 1M | 128k |
| Overview | ||
| Company | NVIDIA | |
| Release date | May 14 2024 | Oct 15 2024 |
| Access | Closed | Open Weight |
| Model details | View model | View model |
Other comparisons
Gemini 1.5 FlashvsClaude Haiku 5.5Llama 3.1 Nemotron 70BvsClaude Haiku 5.5Gemini 1.5 FlashvsGPT-6.1 SolLlama 3.1 Nemotron 70BvsGPT-6.1 SolGemini 1.5 FlashvsMuse Spark OpenLlama 3.1 Nemotron 70BvsMuse Spark OpenGemini 1.5 FlashvsGrok 4.7Llama 3.1 Nemotron 70BvsGrok 4.7Gemini 1.5 FlashvsDeepSeek-V4.1-Flash-1017Llama 3.1 Nemotron 70BvsDeepSeek-V4.1-Flash-1017Gemini 1.5 FlashvsMistral Large 4Llama 3.1 Nemotron 70BvsMistral Large 4Frequently asked questions
Gemini 1.5 Flash 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 1.5 Flash shipped 154 days before Llama 3.1 Nemotron 70B, so benchmark comparisons should account for the intervening progress.
Context windows are 1M (Gemini 1.5 Flash) vs 128k (Llama 3.1 Nemotron 70B). Gemini 1.5 Flash is closed, while Llama 3.1 Nemotron 70B is open weight.
Direct benchmark comparisons are unavailable — Gemini 1.5 Flash and Llama 3.1 Nemotron 70B don't publish scores on any of the same benchmarks.