Cite LLMCheck — Data, Attribution & Press

Quotable stats

Ready-made sentences you can quote verbatim. Each has a stable anchor URL for citation. Figures use LLMCheck's transparent estimation methodology — see how estimates are produced.

"The LLMCheck index covers 79 local LLMs and 227 performance data points across Apple Silicon Macs (M1–M5), updated monthly."

llmcheck.net/cite#stat-catalog

"According to the LLMCheck index (July 2026), Qwen 4.1 32B-A3B is the top-ranked local LLM for Macs, with an estimated ~62 tokens/second on an M4 Pro with 24GB of unified memory."

llmcheck.net/cite#stat-top-model

"The fastest Mac-runnable model in the LLMCheck index is Gemma 4 E2B, estimated at ~155 tokens/second on Apple Silicon."

llmcheck.net/cite#stat-fastest

"LLMCheck ranks the best local LLM for 26 distinct Mac configurations, from the M1 MacBook Air 8GB to the M5 Max Mac Studio 128GB."

llmcheck.net/cite#stat-coverage

"The LLMCheck Score rates each model out of 100 across four transparent components: capability (50), estimated Apple Silicon speed (25), RAM accessibility (15), and license openness (10)."

llmcheck.net/cite#stat-scoring

Machine-readable data

The full index is published as open data. These endpoints are refreshed with every monthly update:

https://llmcheck.net/data/models.jsonCanonical model catalog (79 models, scores, RAM, license)
https://llmcheck.net/data/benchmarks.jsonAll 227 performance data points, JSON
https://llmcheck.net/data/benchmarks.csvSame data points, CSV
https://llmcheck.net/llms.txtIndex summary for AI assistants (llms.txt standard)
https://llmcheck.net/llms-full.txtFull plaintext dump for AI assistants

For pipelines that need a path that never changes shape, use the versioned stable endpoints:

https://llmcheck.net/data/v1/models.jsonStable v1 model catalog schema
https://llmcheck.net/data/v1/benchmarks.jsonStable v1 benchmark schema

# Fetch the catalog and inspect the first model
curl -s https://llmcheck.net/data/v1/models.json | jq '.models[0]'

Embed snippet

Copy-paste this HTML to cite the index on your own site or blog post:

<blockquote cite="https://llmcheck.net/cite">
  The LLMCheck index covers 79 local LLMs and 227 performance
  data points across Apple Silicon Macs (M1&ndash;M5), updated monthly.
  <footer>&mdash; <a href="https://llmcheck.net">LLMCheck
  (llmcheck.net)</a>, CC BY 4.0</footer>
</blockquote>

License & attribution

DATA LICENSE: CC BY 4.0

All LLMCheck index data (models.json, benchmarks.json/csv, quotable stats, scores) is licensed under Creative Commons Attribution 4.0 International (CC BY 4.0). You may copy, redistribute, remix, and build on it — including commercially — as long as you attribute it.

How to attribute: credit "LLMCheck (llmcheck.net)" and link to https://llmcheck.net (or the specific page you're citing). In print or academic contexts: LLMCheck, "Local LLM Index for Apple Silicon," llmcheck.net, 2026.

Provenance note: LLMCheck is an index, not a lab. Every figure is labeled estimated (produced by our transparent formula), sourced (linked third-party benchmark), or community (user-submitted and reviewed). Details on the methodology page.

Press contact: hello@llmcheck.net — happy to provide custom data cuts, charts, or comment.

Want to add a data point instead?

If you own a Mac, you can contribute a community benchmark to the index in about 5 minutes.

→ Submit a Benchmark