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 | 256k |
| Overview | ||
| Company | NVIDIA | SpaceXSI |
| Release date | Mar 18 2025 | Jul 9 2025 |
| Access | Open Weight | Closed |
| Model details | View model | View model |
Other comparisons
Llama Nemotron (Nano/Super)vsClaude Haiku 5.5Grok 4vsClaude Haiku 5.5Llama Nemotron (Nano/Super)vsGPT-6.1 SolGrok 4vsGPT-6.1 SolLlama Nemotron (Nano/Super)vsGemini 4 ArgonGrok 4vsGemini 4 ArgonLlama Nemotron (Nano/Super)vsMuse Spark OpenGrok 4vsMuse Spark OpenLlama Nemotron (Nano/Super)vsDeepSeek-V4.1-Flash-1017Grok 4vsDeepSeek-V4.1-Flash-1017Llama Nemotron (Nano/Super)vsMistral Large 4Grok 4vsMistral Large 4Frequently asked questions
Llama Nemotron (Nano/Super) and Grok 4 don't publish scores on any of the same benchmarks, so there's no direct head-to-head comparison. Llama Nemotron (Nano/Super) shipped 113 days before Grok 4, so benchmark comparisons should account for the intervening progress.
Context windows are 128k (Llama Nemotron (Nano/Super)) vs 256k (Grok 4). Llama Nemotron (Nano/Super) is open weight, while Grok 4 is closed.
Direct benchmark comparisons are unavailable — Llama Nemotron (Nano/Super) and Grok 4 don't publish scores on any of the same benchmarks.