Side-by-side analysis of Meta Llama 4 Maverick, Openai O3 Mini across performance, benchmarks, capabilities, and infrastructure requirements.
Source: inferbase.ai
Side-by-side analysis of Meta Llama 4 Maverick, Openai O3 Mini 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.
OpenAI o3-mini is a cost-efficient language model optimized for STEM reasoning tasks, particularly excelling in science, mathematics, and coding. This model supports the `reasoning_effort` parameter, which can be set to "high", "medium", or "low" to control the thinking time of the model.
| Specification | Llama 4 Maverick | O3 MINI |
|---|---|---|
| Provider | Meta AI | OpenAI |
| Parameters | 400B | — |
| Context window | 1049K | 200K |
| Max output | 16K | 100K |
| Input modalities | text, image | text, file |
| Output modalities | text | text |
| License | llama-3.1 | proprietary |
| Model type | vision | chat |
| Capability | Llama 4 Maverick | O3 MINI |
|---|---|---|
| chain_of_thought | — | Yes |
| code_generation | Yes | Yes |
| extended_thinking | — | Yes |
| function_calling | Yes | Yes |
| json_mode | Yes | — |
| reasoning | Yes | Yes |
| streaming | Yes | — |
| text_generation | Yes | — |
| vision | Yes | — |
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