Side-by-side analysis of Meta Llama 4 Maverick, Qwen Qwen2 5 14b Instruct across performance, benchmarks, capabilities, and infrastructure requirements.
Source: inferbase.ai
Side-by-side analysis of Meta Llama 4 Maverick, Qwen Qwen2 5 14b Instruct 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.
Qwen 2.5 14B Instruct is a 14 billion parameter language model from Alibaba, part of Alibaba's Qwen family. It is released under the Apache 2.0 license.
| Specification | Llama 4 Maverick | Qwen 2.5 14B Instruct |
|---|---|---|
| Provider | Meta AI | Qwen |
| Parameters | 400B | 14B |
| Context window | 1049K | 33K |
| Max output | 16K | — |
| Input modalities | text, image | text |
| Output modalities | text | text |
| License | llama-3.1 | apache-2.0 |
| Model type | vision | chat |
| Capability | Llama 4 Maverick | Qwen 2.5 14B Instruct |
|---|---|---|
| code_generation | Yes | — |
| function_calling | Yes | Yes |
| json_mode | Yes | Yes |
| reasoning | Yes | Yes |
| streaming | Yes | Yes |
| text_generation | Yes | Yes |
| vision | Yes | — |
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