oMLX vs Ollama Mac Local Inference Qwen3.5-35B Actual Test
A performance comparison between oMLX and Ollama for running LLMs locally on Mac devices revealed significant speed differences. oMLX, utilizing Apple Silicon's MLX framework, demonstrated a 35% faster token generation speed and a 7x improvement in multi-turn conversation latency compared to Ollama, which uses the GGUF backend. While oMLX offers specialized features like SSD KV Cache and Continuous Batching, Ollama maintains an advantage in cross-platform compatibility and a larger model ecosystem. AI
IMPACT oMLX's superior performance on Mac could accelerate local LLM adoption for developers and users prioritizing speed and responsiveness, especially for agentic applications.