Side-by-side analysis of Deepseek Deepseek Coder V2 Lite Instruct, Meta Llama 4 Maverick across performance, benchmarks, capabilities, and infrastructure requirements.
Source: inferbase.ai
Side-by-side analysis of Deepseek Deepseek Coder V2 Lite Instruct, Meta Llama 4 Maverick across performance, benchmarks, capabilities, and infrastructure requirements.
Deepseek Coder V 2 Lite Instruct is a language model from DeepSeek. It is released under the other 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 | Deepseek Coder V 2 Lite Instruct | Llama 4 Maverick |
|---|---|---|
| Provider | DeepSeek | Meta AI |
| Parameters | 16B | 400B |
| Context window | 131K | 1049K |
| Max output | 164K | 16K |
| Input modalities | text | text, image |
| Output modalities | text | text |
| License | other | llama-3.1 |
| Model type | chat | vision |
| Capability | Deepseek Coder V 2 Lite Instruct | Llama 4 Maverick |
|---|---|---|
| code_completion | Yes | — |
| code_generation | Yes | Yes |
| code_review | Yes | — |
| function_calling | Yes | Yes |
| json_mode | — | Yes |
| reasoning | Yes | Yes |
| streaming | Yes | Yes |
| text_generation | — | Yes |
| vision |
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| Yes |