Side-by-side analysis of Meta Codellama 34b Instruct Hf, Meta Llama 4 Maverick across performance, benchmarks, capabilities, and infrastructure requirements.
Source: inferbase.ai
Side-by-side analysis of Meta Codellama 34b Instruct Hf, Meta Llama 4 Maverick across performance, benchmarks, capabilities, and infrastructure requirements.
Codellama 34B Instruct Hf is a 34 billion parameter language model from Meta, part of Meta's open-weight Llama family. 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 | Codellama 34B Instruct Hf | Llama 4 Maverick |
|---|---|---|
| Provider | Meta AI | Meta AI |
| Parameters | 34B | 400B |
| Context window | 16K | 1049K |
| Max output | — | 16K |
| Input modalities | text | text, image |
| Output modalities | text | text |
| License | llama2 | llama-3.1 |
| Model type | chat | vision |
| Capability | Codellama 34B Instruct Hf | Llama 4 Maverick |
|---|---|---|
| code_generation | — | Yes |
| function_calling | Yes | Yes |
| json_mode | Yes | Yes |
| reasoning | Yes | Yes |
| streaming | Yes | Yes |
| text_generation | Yes | 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.