Side-by-side analysis of Meta Llama 4 Maverick, Nvidia Nvidia Nemotron 3 Super 120b A12b Bf16 across performance, benchmarks, capabilities, and infrastructure requirements.
Source: inferbase.ai
Side-by-side analysis of Meta Llama 4 Maverick, Nvidia Nvidia Nemotron 3 Super 120b A12b Bf16 across performance, benchmarks, capabilities, and infrastructure requirements.
Llama 4 Maverick 17B Instruct (128E) is a high-capacity multimodal language model from Meta, built on a mixture-of-experts (MoE) architecture with 128 experts and 17 billion active parameters per forward pass (400B total). It supports multilingual text and image input, and produces multilingual text and code output across 12 supported languages.
Nvidia Nemotron 3 Super 120B A 12B BF 16 is a 120 billion parameter language model from NVIDIA.
| Specification | Llama 4 Maverick | Nvidia Nemotron 3 Super 120B A 12B BF 16 |
|---|---|---|
| Provider | Meta AI | NVIDIA |
| Parameters | 400B | 120B |
| Context window | 1049K | — |
| Max output | 16K | — |
| Input modalities | text, image | text |
| Output modalities | text | text |
| License | llama-3.1 | other |
| Model type | vision | chat |
| Capability | Llama 4 Maverick | Nvidia Nemotron 3 Super 120B A 12B BF 16 |
|---|---|---|
| code_generation | Yes | — |
| function_calling | Yes | Yes |
| json_mode | Yes | Yes |
| reasoning | Yes | — |
| streaming | Yes | Yes |
| text_generation | Yes | Yes |
| vision | Yes | — |
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