BaseRT vs. oMLX Comparison


BaseRT Base Compute	oMLX	+	+
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About BaseRT is a high-performance LLM inference runtime for Apple Silicon that lets developers pull models from Hugging Face, chat with them locally, or serve an OpenAI-compatible API from one CLI. Accelerated by hand-written Metal kernels, it is designed to deliver fast prefill and decode performance on M-series Macs, with published benchmarks showing up to 6.4× faster prefill than llama.cpp, 3.9× faster than MLX, and up to 1.33× faster decode. The basert CLI handles model downloading, conversion, interactive chat, serving, completion, benchmarking, inspection, and bundle signing. Its server supports chat, completions, embeddings, transcription, tool calls, continuous batching, paged KV caching, and prefix caching, while supported models can process text, vision, and audio. BaseRT uses its own .base model format with Q2–Q8 affine quantization, optional AWQ calibration, and signed bundles, and can convert GGUF, Hugging Face, and MLX checkpoints.	About oMLX is a macOS-native MLX server designed to make local AI faster and more practical on Apple Silicon. Built for the way coding agents actually work, it uses paged SSD KV caching to persist cache blocks to disk, allowing previously seen prefixes to be restored across requests and server restarts instead of being recomputed from scratch. This can reduce time to first token on long contexts from 30–90 seconds to under five seconds after the first turn. Continuous batching handles concurrent requests through mlx-lm’s BatchGenerator, improving generation throughput without forcing requests to wait behind a single job. oMLX can serve LLMs, vision-language models, embedding models, and rerankers simultaneously, using LRU eviction when memory runs low. It supports any MLX-format model from Hugging Face, including Qwen, LLaMA, Mistral, Gemma, DeepSeek, MiniMax, and GLM, and can reuse models already stored in the standard Hugging Face cache, LM Studio folders, or custom directories.
Platforms Supported Windows Not Supported Mac Supported Linux Not Supported Cloud Not Supported On-Premises Not Supported iPhone Not Supported iPad Not Supported Android Not Supported Chromebook Not Supported	Platforms Supported Windows Not Supported Mac Supported Linux Not Supported Cloud Not Supported On-Premises Not Supported iPhone Not Supported iPad Not Supported Android Not Supported Chromebook Not Supported
Audience AI infrastructure engineers and developers seeking a fast, private local model inference and an OpenAI-compatible backend for applications and coding agents	Audience Developers and AI power users needing to run fast local LLM inference and agentic coding workflows on Apple Silicon
Support Phone Support Not Supported 24/7 Live Support Not Supported Online Supported	Support Phone Support Not Supported 24/7 Live Support Not Supported Online Supported
API Offers API Supported	API Offers API Supported
Screenshots and Videos View more images or videos	Screenshots and Videos View more images or videos
Pricing No information available. Free Version Not Supported Free Trial Not Supported	Pricing No information available. Free Version Not Supported Free Trial Not Supported
Reviews/Ratings Overall 0.0 / 5 ease 0.0 / 5 features 0.0 / 5 design 0.0 / 5 support 0.0 / 5 This software hasn't been reviewed yet. Be the first to provide a review: Review this Software	Reviews/Ratings Overall 0.0 / 5 ease 0.0 / 5 features 0.0 / 5 design 0.0 / 5 support 0.0 / 5 This software hasn't been reviewed yet. Be the first to provide a review: Review this Software

Training Documentation Supported Webinars Not Supported Live Online Not Supported In Person Not Supported	Training Documentation Supported Webinars Not Supported Live Online Not Supported In Person Not Supported
Company Information Base Compute Founded: 2026 Australia www.basecompute.co/getbasert	Company Information oMLX United States omlx.ai/
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oMLX	BaseRT Base Compute
LFM2 Liquid AI View All	WebLLM View All
Categories AI Tools Supported	Categories AI Inference Supported

Integrations Hugging Face Supported Mistral AI Supported OpenAI Supported Anthropic Not Supported Cursor Not Supported DeepSeek Not Supported GLM-4.1V Not Supported Gemma 4 Supported GitHub Not Supported JSON Not Supported LM Studio Not Supported Llama Not Supported Llama 3.1 Supported Llama 3.2 Supported Model Context Protocol (MCP) Not Supported Phi-3 Supported Python Not Supported Qwen Not Supported Qwen3.5 Supported Qwen3.6 Supported Show More Integrations View All 11 Integrations	Integrations Hugging Face Supported Mistral AI Supported OpenAI Supported Anthropic Supported Cursor Supported DeepSeek Supported GLM-4.1V Supported Gemma 4 Not Supported GitHub Supported JSON Supported LM Studio Supported Llama Supported Llama 3.1 Not Supported Llama 3.2 Not Supported Model Context Protocol (MCP) Supported Phi-3 Not Supported Python Supported Qwen Supported Qwen3.5 Not Supported Qwen3.6 Not Supported Show More Integrations View All 19 Integrations
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