Side-by-side analysis of Google Text Embedding 004, Meta Llama 4 Maverick across performance, benchmarks, capabilities, and infrastructure requirements.
Source: inferbase.ai
Side-by-side analysis of Google Text Embedding 004, Meta Llama 4 Maverick across performance, benchmarks, capabilities, and infrastructure requirements.
Text Embedding 004 is a language model from Google. It features a 2K context window.
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 | Text Embedding 004 | Llama 4 Maverick |
|---|---|---|
| Provider | Meta AI | |
| Parameters | — | 400B |
| Context window | 2K | 1049K |
| Max output | 1 | 16K |
| Input modalities | text | text, image |
| Output modalities | text | text |
| License | proprietary | llama-3.1 |
| Model type | — | vision |
| Capability | Text Embedding 004 | Llama 4 Maverick |
|---|---|---|
| code_generation | — | Yes |
| embeddings | Yes | — |
| function_calling | — | Yes |
| json_mode | — | Yes |
| reasoning | — | Yes |
| streaming | — | Yes |
| text_generation | — | Yes |
| vision | — | Yes |
From model selection to production, one platform, no fragmentation.
Use the search bar above to find and add a model for comparison.
Use the search bar above to find and add a model for comparison.