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.
Top Picks
Llama 4 Maverick
Meta's flagship open-source MoE model with 17Bx128E architecture delivering frontier-level performance while being free to use and modify.
Best for: Teams wanting the most capable open-source model
DeepSeek R1
Open-source reasoning model that achieves near-o1 performance on math and science tasks with transparent chain-of-thought.
Best for: Research teams needing strong reasoning capabilities
Qwen 3 235B
Alibaba's powerful MoE model with strong multilingual performance and competitive benchmarks across all categories.
Best for: Multilingual applications and general-purpose use
Llama 4 Scout
Meta's efficient open-source model with 17Bx16E MoE architecture and a 10M token context window for massive document processing.
Best for: Applications requiring enormous context windows
Mistral Small 3
Compact yet powerful open-source model from Mistral AI with excellent multilingual support and function calling capabilities.
Best for: Edge deployment and resource-constrained environments
Gemma 3 27B
Google's open-source model delivering strong multimodal performance at a manageable size, with excellent documentation and tooling.
Best for: Developers wanting a well-supported, mid-sized model
Try All These AI Models in One Place
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Frequently Asked Questions
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