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 | 400k |
| Overview | ||
| Company | NVIDIA | OpenAI |
| Release date | Mar 18 2025 | Nov 13 2025 |
| Access | Open Weight | Closed |
| Model details | View model | View model |
Other comparisons
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Llama Nemotron (Nano/Super) and GPT-5.1-Codex-Mini don't publish scores on any of the same benchmarks, so there's no direct head-to-head comparison. Llama Nemotron (Nano/Super) shipped 240 days before GPT-5.1-Codex-Mini, so benchmark comparisons should account for the intervening progress.
Context windows are 128k (Llama Nemotron (Nano/Super)) vs 400k (GPT-5.1-Codex-Mini). Llama Nemotron (Nano/Super) is open weight, while GPT-5.1-Codex-Mini is closed.
Direct benchmark comparisons are unavailable — Llama Nemotron (Nano/Super) and GPT-5.1-Codex-Mini don't publish scores on any of the same benchmarks.