How fast is LlamaStash? Overhead, throughput, and a fair comparison with Ollama and LM Studio

1. llama.cpp

   1 1,031 115,929 10.0 C++

   LLM inference in C/C++

   

   LlamaStash spawns the unmodified upstream llama-server. So three different questions follow from that, and there is a benchmark suite for each.

2. SaaSHub

   www.saashub.com featured

   SaaSHub - Software Alternatives and Reviews. SaaSHub helps you find the best software and product alternatives

   

3. llamastash

   2 3 4 - Rust

   A fast terminal native app (TUI) and CLI with init wizard for launching local LLMs via llama.cpp with zero overhead

   

   All three suites live in docs/benchmarks/ in the repo. The harness is in scripts/bench/. The methodology page covers fairness, how I throw out noisy runs, and why outputs differ across backends. Read it before pulling any single number out of context. On its own, one cell can mislead.

4. ollama

   3 750 173,220 9.9 Go

   Get up and running with Kimi-K2.6, GLM-5.1, MiniMax, DeepSeek, gpt-oss, Qwen, Gemma and other models.

   

   Suite B: cross-tool comparison. How does LlamaStash-as-shipped compare to Ollama and LM Studio on the same model, same hardware, through their OpenAI-compatible HTTP endpoints? This is the question users care about.

Suggest a related project