TL;DRAI

LlamaStash adds zero overhead vs llama-server (±1%), faster with auto flash-attention defaults. Ollama 38-72% slower on AMD; LM Studio crashes on Strix Halo: benchmark establishes LlamaStash as inference cost baseline for stack decisions.

Originally published at deepu.tech.

In my release post for LlamaStash I made a claim I need to back up. The wrapper adds zero overhead vs running llama-server directly. That is the kind of claim that should not exist in a blog post without numbers behind it. So here are the numbers.

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

Suite A: overhead regression. Does llamastash start <model> add any measurable overhead on top of raw llama-server when both run the same command line? This is the question the whole architecture depends on.

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.

dev.to

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

A reproducible benchmark of LlamaStash against raw llama-server, Ollama, and LM Studio on AMD APU, Apple Silicon, and NVIDIA

martedì 2 giugno 2026 New tab

TL;DRAI

5,386 words~24 min read

Originally published at deepu.tech.

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

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

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

Other newsrooms on this story

Related reading

Introducing LlamaStash: a zero-overhead, terminal-native llama.cpp launcher

Running Gemma 4 on a Modest Machine: Unsloth vs LM Studio vs llama.cpp vs Ollama

I Benchmarked 3 Local LLMs on My Laptop — Here's What the Numbers Actually Show

LLM-Manager: Orchestrating Ollama and Llama.cpp with Pure Bash

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Other newsrooms on this story

Related reading

Introducing LlamaStash: a zero-overhead, terminal-native llama.cpp launcher

Running Gemma 4 on a Modest Machine: Unsloth vs LM Studio vs llama.cpp vs Ollama

I Benchmarked 3 Local LLMs on My Laptop — Here's What the Numbers Actually Show

LLM-Manager: Orchestrating Ollama and Llama.cpp with Pure Bash

3-Part Series: LLM Latency in Production (Part 1) | Towards AI

Llama 4: Meta's Latest — Scout, Maverick, and the MoE Revolution