Side-by-side analysis of Deepseek Deepseek V3 1 Terminus, Meta Llama 4 Maverick across performance, benchmarks, capabilities, and infrastructure requirements.
Source: inferbase.ai
Side-by-side analysis of Deepseek Deepseek V3 1 Terminus, Meta Llama 4 Maverick across performance, benchmarks, capabilities, and infrastructure requirements.
DeepSeek-V3.1 Terminus is an update to [DeepSeek V3.1](/deepseek/deepseek-chat-v3.1) that maintains the model's original capabilities while addressing issues reported by users, including language consistency and agent capabilities, further optimizing the model's performance in coding and search agents. It is a large hybrid reasoning model (671B parameters, 37B active) that supports both thinking and non-thinking modes.
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 V3.1 Terminus | Llama 4 Maverick |
|---|---|---|
| Provider | DeepSeek | Meta AI |
| Parameters | 671B | 400B |
| Context window | 164K | 1049K |
| Max output | — | 16K |
| Input modalities | text | text, image |
| Output modalities | text | text |
| License | mit | llama-3.1 |
| Model type | chat | vision |
| Capability | DeepSeek V3.1 Terminus | Llama 4 Maverick |
|---|---|---|
| code_generation | Yes | 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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