Skip to main content

llmlatency

Measured latency and uptime for AI inference APIs, as a small Python client for the open dataset published at llmlatency.dev.

Probes run every five minutes from four regions and are never routed through a gateway or an aggregator, so the numbers describe the providers themselves rather than a proxy in front of them.

  • Network probe — DNS → TCP → TLS → time to first byte.
  • Inference probe — time to first token on a real completion request.

These are different quantities, an order of magnitude apart, and this library never mixes them in one ranking.

Install

pip install llmlatency

No dependencies — standard library only.

Use it from Python

import llmlatency

llmlatency.regions()
# ['ap-tokyo', 'eu-hetzner', 'sa-east', 'us-central']

llmlatency.fastest("eu-hetzner")
# {'rank': 1, 'provider': 'nscale', 'p50_ms': 99, 'p95_ms': 203,
#  'uptime_pct': 100, 'samples': 289}

for row in llmlatency.ranking("us-central")[:3]:
    print(row["rank"], row["provider"], row["p50_ms"], "ms")

llmlatency.provider("anthropic")          # one provider across every region
llmlatency.generated_at()                 # snapshot timestamp, ISO-8601 UTC

Fetch once and pass the snapshot around if you make several queries:

data = llmlatency.fetch()
fast = {r: llmlatency.fastest(r, data=data) for r in llmlatency.regions(data)}

Use it from the shell

llmlatency fastest                        # fastest provider in every region
llmlatency ranking --region eu-hetzner --top 5
llmlatency provider openai
llmlatency fastest --probe inference --json

Data, methodology, licence

The dataset is CC-BY-4.0; this client library is MIT.

Limitations, stated up front. Vantage points are cloud data centres, not consumer networks, so absolute values are lower than an end user would see — the comparison between providers is the meaningful part. Provider coverage changes over time as APIs appear and shut down.

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

llmlatency-0.1.0.tar.gz (10.8 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

llmlatency-0.1.0-py3-none-any.whl (8.7 kB view details)

Uploaded Python 3

File details

Details for the file llmlatency-0.1.0.tar.gz.

File metadata

  • Download URL: llmlatency-0.1.0.tar.gz
  • Upload date:
  • Size: 10.8 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/7.0.0 CPython/3.11.15

File hashes

Hashes for llmlatency-0.1.0.tar.gz
Algorithm Hash digest
SHA256 908d3ba9752b7fc68e5e17932e235c2342b92233cb7c4ff09389046033625ee2
MD5 255c1b8f73c3664ab71fcd1836ba4778
BLAKE2b-256 15419620df986517a9f7c76f8cfb04ffeccd9cfd29d8b3c230dc592e28495ce1

See more details on using hashes here.

File details

Details for the file llmlatency-0.1.0-py3-none-any.whl.

File metadata

  • Download URL: llmlatency-0.1.0-py3-none-any.whl
  • Upload date:
  • Size: 8.7 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/7.0.0 CPython/3.11.15

File hashes

Hashes for llmlatency-0.1.0-py3-none-any.whl
Algorithm Hash digest
SHA256 44fbd4c69a32431d1e4084425f4d5a2bc313ddc1501df015d9a469c2801461cc
MD5 f7cd56b99b961622dc78ae2d7199df7d
BLAKE2b-256 a149a5715046ddbb1f0b3e8c26b2c234a8212b51db371777f51d1c1d0a153543

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page