Side-by-side analysis of Meta Llama 4 Maverick, Minimax Minimax M2 5 Free across performance, benchmarks, capabilities, and infrastructure requirements.
Source: inferbase.ai
Side-by-side analysis of Meta Llama 4 Maverick, Minimax Minimax M2 5 Free 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.
MiniMax-M2.5 is a SOTA large language model designed for real-world productivity. Trained in a diverse range of complex real-world digital working environments, M2.5 builds upon the coding expertise of M2.1 to extend into general office work, reaching fluency in generating and operating Word, Excel, and Powerpoint files, context switching between diverse software environments, and working across different agent and human teams.
| Specification | Llama 4 Maverick | MiniMax M2.5 (free) |
|---|---|---|
| Provider | Meta AI | Minimax |
| Parameters | 400B | — |
| Context window | 1049K | 197K |
| Max output | 16K | 197K |
| Input modalities | text, image | text |
| Output modalities | text | text |
| License | llama-3.1 | — |
| Model type | vision | chat |
| Capability | Llama 4 Maverick | MiniMax M2.5 (free) |
|---|---|---|
| code_generation | Yes | — |
| function_calling | Yes | — |
| json_mode | Yes | — |
| reasoning | Yes | — |
| streaming | Yes | — |
| text_generation | Yes | — |
| vision | Yes | — |
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