Side-by-side analysis of Meta Llama 3 2 90b Vision, Meta Llama 4 Maverick across performance, benchmarks, capabilities, and infrastructure requirements.
Source: inferbase.ai
Side-by-side analysis of Meta Llama 3 2 90b Vision, Meta Llama 4 Maverick across performance, benchmarks, capabilities, and infrastructure requirements.
Llama 3.2 90B Vision is a 90 billion parameter language model from Meta, part of Meta's open-weight Llama family. It features accepts image inputs alongside text. It is released under Meta's Llama Community License.
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.
| Specification | Llama 3.2 90B Vision | Llama 4 Maverick |
|---|---|---|
| Provider | Meta AI | Meta AI |
| Parameters | 90B | 400B |
| Context window | — | 1049K |
| Max output | — | 16K |
| Input modalities | text, image | text, image |
| Output modalities | text | text |
| License | llama3.2 | llama-3.1 |
| Model type | chat | vision |
| Capability | Llama 3.2 90B Vision | Llama 4 Maverick |
|---|---|---|
| code_generation | — | Yes |
| function_calling | Yes | Yes |
| image_understanding | Yes | — |
| json_mode | Yes | Yes |
| reasoning | Yes | Yes |
| streaming | Yes | Yes |
| text_generation | Yes | Yes |
| vision | Yes | Yes |
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