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. | 128k | 128k |
| Overview | ||
| Company | NVIDIA | OpenAI |
| Release date | Mar 18 2025 | Feb 27 2025 |
| Access | Open Weight | Closed |
| Model details | View model | View model |
Other comparisons
Llama Nemotron (Nano/Super)vsClaude Haiku 5.5GPT-4.5vsClaude Haiku 5.5Llama Nemotron (Nano/Super)vsGemini 4 ArgonGPT-4.5vsGemini 4 ArgonLlama Nemotron (Nano/Super)vsMuse Spark OpenGPT-4.5vsMuse Spark OpenLlama Nemotron (Nano/Super)vsGrok 4.7GPT-4.5vsGrok 4.7Llama Nemotron (Nano/Super)vsDeepSeek-V4.1-Flash-1017GPT-4.5vsDeepSeek-V4.1-Flash-1017Llama Nemotron (Nano/Super)vsMistral Large 4GPT-4.5vsMistral Large 4Frequently asked questions
Llama Nemotron (Nano/Super) and GPT-4.5 don't publish scores on any of the same benchmarks, so there's no direct head-to-head comparison. GPT-4.5 shipped 19 days before Llama Nemotron (Nano/Super), so benchmark comparisons should account for the intervening progress.
Context windows are 128k (Llama Nemotron (Nano/Super)) vs 128k (GPT-4.5). Llama Nemotron (Nano/Super) is open weight, while GPT-4.5 is closed.
Direct benchmark comparisons are unavailable — Llama Nemotron (Nano/Super) and GPT-4.5 don't publish scores on any of the same benchmarks.