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. | — | 8B/49B |
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 | Sep 24 2024 | Mar 18 2025 |
| Access | Closed | Open Weight |
| Model details | View model | View model |
Other comparisons
Gemini 1.5 Flash-002vsClaude Haiku 5.5Llama Nemotron (Nano/Super)vsClaude Haiku 5.5Gemini 1.5 Flash-002vsGPT-6.1 SolLlama Nemotron (Nano/Super)vsGPT-6.1 SolGemini 1.5 Flash-002vsMuse Spark OpenLlama Nemotron (Nano/Super)vsMuse Spark OpenGemini 1.5 Flash-002vsGrok 4.7Llama Nemotron (Nano/Super)vsGrok 4.7Gemini 1.5 Flash-002vsDeepSeek-V4.1-Flash-1017Llama Nemotron (Nano/Super)vsDeepSeek-V4.1-Flash-1017Gemini 1.5 Flash-002vsMistral Large 4Llama Nemotron (Nano/Super)vsMistral Large 4Frequently asked questions
Gemini 1.5 Flash-002 and Llama Nemotron (Nano/Super) don't publish scores on any of the same benchmarks, so there's no direct head-to-head comparison. Gemini 1.5 Flash-002 shipped 175 days before Llama Nemotron (Nano/Super), so benchmark comparisons should account for the intervening progress.
Context windows are 1M (Gemini 1.5 Flash-002) vs 128k (Llama Nemotron (Nano/Super)). Gemini 1.5 Flash-002 is closed, while Llama Nemotron (Nano/Super) is open weight.
Direct benchmark comparisons are unavailable — Gemini 1.5 Flash-002 and Llama Nemotron (Nano/Super) don't publish scores on any of the same benchmarks.