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Artificial Analysis

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Independent benchmarks comparing AI models and API providers

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Artificial Analysis

What it is

Artificial Analysis is an independent benchmarking site for AI models and the providers that serve them. Its Intelligence Index combines ten evaluations to compare language models on capability, speed and cost per task. Leaderboards cover language models, image and video generation and editing, text-to-speech and speech-to-text, with some rankings based on blind human preference votes. A providers leaderboard compares API hosts on speed, latency, price and accuracy. Specialized indexes track coding agents, cybersecurity and domain skills in areas like finance, law and healthcare. Tools such as a model recommender and Optima for custom benchmarks support deeper evaluation. The company is led by co-founders Micah Hill-Smith and George Cameron in San Francisco.

Key features

  • Composite Intelligence Index
  • Leaderboards across text, image, video and speech
  • API provider speed and price comparisons
  • Model recommender and custom benchmarks

What we liked

  • + Independent of model vendors
  • + Broad coverage across modalities
  • + Free public leaderboards

Worth noting

  • · Rankings shift often as new models appear
  • · General benchmarks may not match your workload

Editor's notes

More context from AI BirdView

Choosing an AI model involves trade-offs between quality, speed and cost, and vendor marketing rarely helps with that. Artificial Analysis fills the gap with independent measurements across many models and the providers that host them. Its coverage goes beyond chat models to image, video and speech, which makes it a useful single reference for teams building with several kinds of AI.

  • An Intelligence Index that rolls ten evaluations into one comparable score
  • Separate measurements of speed, latency and price per provider
  • Blind preference rankings for image, video and speech models
  • Domain-specific indexes for coding agents, cybersecurity, finance, law and healthcare
  • A changelog that records each new model evaluation

Artificial Analysis is best for developers, product teams and researchers deciding which model or API provider to adopt. A practical tip: shortlist models on the leaderboards, then confirm with a small test on your own prompts, since a general benchmark cannot capture every use case. Checking the provider comparisons for your chosen model is worthwhile too, since the same model can differ in speed and price depending on who hosts it.

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