Side-by-side analysis of Meta Llama 4 Maverick, Nvidia Nemotron 3 Nano 30b A3b Free across performance, benchmarks, capabilities, and infrastructure requirements.
Source: inferbase.ai
Side-by-side analysis of Meta Llama 4 Maverick, Nvidia Nemotron 3 Nano 30b A3b Free 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 Nano 30B A3B is a small language MoE model with highest compute efficiency and accuracy for developers to build specialized agentic AI systems. The model is fully open with open-weights, datasets and recipes so developers can easily customize, optimize, and deploy the model on their infrastructure for maximum privacy and security.
| Specification | Llama 4 Maverick | Nemotron 3 Nano 30B A3B (free) |
|---|---|---|
| Provider | Meta AI | NVIDIA |
| Parameters | 400B | 30B |
| Context window | 1049K | 256K |
| Max output | 16K | — |
| Input modalities | text, image | text |
| Output modalities | text | text |
| License | llama-3.1 | — |
| Model type | vision | chat |
| Capability | Llama 4 Maverick | Nemotron 3 Nano 30B A3B (free) |
|---|---|---|
| code_generation | Yes | — |
| function_calling | Yes | — |
| json_mode | Yes | — |
| reasoning | Yes | — |
| streaming | Yes | — |
| text_generation | Yes | — |
| vision | Yes | — |
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