Benchmark · AI Models
Enterprise AI Model Comparison Matrix
An independent architectural comparison across leading open-weight and closed commercial large language models, covering deployment options, context windows, data privacy boundaries, and enterprise use-case suitability.
Enterprise LLM Benchmark Matrix
| Model Family | Type | Context Window | Data Privacy / Sovereignty | Primary Enterprise Specialty |
|---|---|---|---|---|
| Meta Llama 3.3 (70B / 405B) | Open-Weight | 128k Tokens | 100% Self-Hosted / On-Premise | General reasoning, RAG, custom fine-tuning |
| Mistral Codestral & Large 2 | Open-Weight / MoE | 128k Tokens | Self-Hosted or Sovereign Cloud | Code generation, fast inference, EU compliance |
| Qwen 2.5 (72B) | Open-Weight | 128k Tokens | 100% Self-Hosted | Mathematics, multi-lingual RAG, code synthesis |
| Anthropic Claude 3.5 Sonnet | Closed Commercial API | 200k Tokens | Cloud API (Zero-retention agreements) | Complex reasoning, code refactoring, agentic tasks |
| OpenAI GPT-4o | Closed Commercial API | 128k Tokens | Cloud API / Azure OpenAI Service | Multimodal analysis, real-time audio/vision |