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Best Open Source LLMs in 2026

Open-source LLMs have reached remarkable quality, with some rivaling proprietary models on key benchmarks. Whether you want data privacy, cost savings, or full customization, these are the best open-source models you can download and run today.

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Frequently Asked Questions

Are open-source LLMs as good as proprietary ones?
The gap has narrowed dramatically. Models like Llama 4 Maverick and DeepSeek R1 rival proprietary models on many benchmarks. However, top proprietary models like GPT-5 and Claude Opus 4 still lead on the most demanding tasks. For most applications, open-source models are more than sufficient.
What hardware do I need to run an open-source LLM locally?
It depends on the model size. 7-9B models run on consumer GPUs with 8GB+ VRAM. 27-34B models need 24GB+ (RTX 4090 or similar). 70B models typically need 2x24GB GPUs or 48GB+. The largest MoE models require multi-GPU server setups. Quantization can reduce requirements by 50-75%.
Which open-source LLM license is most permissive?
Apache 2.0 (used by Mistral and some others) is the most permissive, allowing commercial use without restrictions. Meta's Llama license allows commercial use but has user count thresholds. Always check the specific license for your use case, especially for commercial applications.

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