Task-based recommendation
Best Local LLM for Private Inference
Compare open-weight models you can run locally or self-host. Benchmark scores, hardware requirements, licensing, and privacy considerations.
Last updated: May 2025 · Methodology
All benchmark scores, pricing data, and rankings on this page are mock placeholders for development and preview purposes. They do not reflect real-world model performance. Real data sources will be connected as the product matures.
Our Pick
Llama 4 Maverick — Best Local LLM
Meta's Llama 4 Maverick offers the best balance of quality, hardware efficiency, and permissive licensing. DeepSeek V3 has slightly better quality but requires more VRAM. For coding, Codestral 2 is a strong specialized alternative.
Compare local models →Top Local Models
| Model | Parameters | License | Approx. VRAM | Notes |
|---|---|---|---|---|
| Llama 4 Maverick | ~400B (MoE) | Llama 4 Community | 4x A100 / 8x H100 | Best quality for local deployment |
| DeepSeek V3 | 671B (MoE) | MIT | 8x A100 / H100 cluster | Strongest open model overall |
| DeepSeek R1 | 671B (MoE) | MIT | 8x A100 / H100 cluster | Best for reasoning tasks |
| Qwen3 235B | 235B | Apache 2.0 | 4-8x A100 | Strong multilingual and coding |
| Mistral Large 3 | ~123B | Research | 2-4x A100 | More manageable hardware requirements |
| Codestral 2 | ~22B | Research | 1x A100 / 2x 4090 | Specialized coding, easy to run |
MVP placeholder. Hardware requirements are approximate. Full benchmark data coming soon. See full leaderboard.