BaseRT vs. vLLM Comparison


BaseRT Base Compute	vLLM	+	+
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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 vLLM is a high-performance library designed to facilitate efficient inference and serving of Large Language Models (LLMs). Originally developed in the Sky Computing Lab at UC Berkeley, vLLM has evolved into a community-driven project with contributions from both academia and industry. It offers state-of-the-art serving throughput by efficiently managing attention key and value memory through its PagedAttention mechanism. It supports continuous batching of incoming requests and utilizes optimized CUDA kernels, including integration with FlashAttention and FlashInfer, to enhance model execution speed. Additionally, vLLM provides quantization support for GPTQ, AWQ, INT4, INT8, and FP8, as well as speculative decoding capabilities. Users benefit from seamless integration with popular Hugging Face models, support for various decoding algorithms such as parallel sampling and beam search, and compatibility with NVIDIA GPUs, AMD CPUs and GPUs, Intel CPUs, and more.
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 Not Supported Linux Not Supported Cloud 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 AI infrastructure engineers looking for a solution to optimize the deployment and serving of large-scale language models in production environments
Support Phone Support Not Supported 24/7 Live Support Not Supported Online Supported	Support Phone Support Not Supported 24/7 Live Support 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 vLLM United States vllm.ai
Alternatives LMCache	Alternatives LocalAI
Lucebox	Ollama
EXAONE Deep LG	OpenVINO Intel
oMLX	Wafer
LFM2 Liquid AI View All	NVIDIA TensorRT NVIDIA View All
Categories AI Tools Supported	Categories AI Inference Supported

Integrations Hugging Face Supported OpenAI Supported Docker Not Supported DocsGPT Not Supported Gemma 3 Supported Gemma 4 Supported KServe Not Supported Kubernetes Not Supported Llama 3.1 Supported Llama 3.2 Supported Mistral AI Supported NGINX Not Supported NVIDIA DRIVE Not Supported Phi-3 Supported PyTorch Not Supported Qwen3 Supported Qwen3.5 Supported Qwen3.6 Supported Thunder Compute Not Supported omp Not Supported Show More Integrations View All 11 Integrations	Integrations Hugging Face Supported OpenAI Supported Docker Supported DocsGPT Supported Gemma 3 Not Supported Gemma 4 Not Supported KServe Supported Kubernetes Supported Llama 3.1 Not Supported Llama 3.2 Not Supported Mistral AI Not Supported NGINX Supported NVIDIA DRIVE Supported Phi-3 Not Supported PyTorch Supported Qwen3 Not Supported Qwen3.5 Not Supported Qwen3.6 Not Supported Thunder Compute Supported omp Supported Show More Integrations View All 12 Integrations
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