All capabilities Local and private
Run a capable model on your own machine
Open-weight models on your own hardware, where the constraint is memory arithmetic rather than a price per token.
DocsDocumented in partTestNot tested by benchr
Local runtimesQwen3.6-27BLlama 4 ScoutPhi-4
Overview
- Runs entirely on your machine, so no prompt or document leaves it.
- Removes per-token cost, replacing it with a fixed hardware ceiling.
- Keeps working offline, which matters more than it sounds for regulated and field work.
How it works
- 01Start from memory, not from benchmarks. benchr's planner estimates four-bit weights as total parameters multiplied by 0.5 GB, and that figure excludes runtime buffers, context cache and the operating system.
- 02Check the fit label before downloading anything: comfortable, tight, or not recommended.
- 03Treat an advertised extended context as expensive, not free - it can need runtime-specific scaling and substantially more cache memory.
- 04Compare against a hosted small model honestly. Local wins on privacy and marginal cost, not usually on quality per watt.
Limits
- The memory figures are deployment-planning estimates, not throughput measurements or guarantees.
- Where a provider does not publish quantised memory, the estimate is arithmetic, and benchr labels it as such.
- Extended context is not free memory - the planner explicitly refuses to treat it that way.
- This record is checked against benchr's own local deployment index rather than a single vendor page, and that index carries its own version date.
Verification
benchr test runs
benchr has not run this capability. No test has been published.
benchr test runs →
Evidence
Sources
- Ollama - Quickstart: downloading and running an open-weight model locally Tier 2 · September 3, 2026
- benchr - Local AI reference and memory planner (version 2026-08-15) August 15, 2026
Not stated by the source
- Tokens per second on any specific machine
- Quality parity with a hosted frontier model on your workload
Source-check history
- September 3, 2026DocsDocumented in partAdded an official local-runtime source. The record previously rested on benchr's own deployment index, which is not a vendor source and cannot support a documented status on its own.
- September 1, 2026DocsDocumented in partFirst logged as documented in part. The evidence here is benchr's own sourced local index rather than a single vendor page, and every figure is a planning estimate, so the record does not claim full official documentation.
Changes
Provider changes affecting this
- June 1, 2026Llama 4 ScoutModel released