Side-by-side analysis of Meta Llama 4 Maverick, Moonshot Kimi K2 5 across performance, benchmarks, capabilities, and infrastructure requirements.
Source: inferbase.ai
Side-by-side analysis of Meta Llama 4 Maverick, Moonshot Kimi K2 5 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.
Kimi K2.5 is Moonshot AI's native multimodal model, delivering state-of-the-art visual coding capability and a self-directed agent swarm paradigm. Built on Kimi K2 with continued pretraining over approximately 15T mixed visual and text tokens, it delivers strong performance in general reasoning, visual coding, and agentic tool-calling.
| Specification | Llama 4 Maverick | Kimi K2.5 |
|---|---|---|
| Provider | Meta AI | Moonshot AI |
| Parameters | 400B | 1000B |
| Context window | 1049K | 262K |
| Max output | 16K | 66K |
| Input modalities | text, image | text, image |
| Output modalities | text | text |
| License | llama-3.1 | other modified-mit |
| Model type | vision | vision |
| Capability | Llama 4 Maverick | Kimi K2.5 |
|---|---|---|
| code_generation | Yes | — |
| function_calling | Yes | — |
| json_mode | Yes | — |
| reasoning | Yes | — |
| streaming | Yes | — |
| text_generation | Yes | — |
| vision | Yes | Yes |
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