开源与专有AI模型

The gap is narrowing rapidly. Open-source models like DeepSeek, Qwen, and LLaMA now compete with proprietary models on many benchmarks. However, proprietary models often still lead in raw performance on the most demanding tasks.

Open-source models offer full transparency, self-hosting capability, fine-tuning freedom, no vendor lock-in, and often lower costs. They are ideal for privacy-sensitive applications and organizations that need full control over their AI stack.

The top-scoring open-source model is shown in our leaderboard above. Rankings update hourly based on composite scores that combine benchmarks, pricing, capabilities, and community adoption.