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The Phaseo Platform gives you a complete view of the global AI landscape - from the newest models and providers to performance benchmarks, pricing, and real world usage insights. Whether you’re a developer choosing what model to use for your newest product, a researcher analysing benchmark results, or a contributor helping expand the database, this section will help you make the most of what Phaseo offers.

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What you can do

Discover Organisations

See what models are offered by organisations, as well as their latest releases and how they stack up.

Explore Models

View detailed model pages with key information like capabilities, pricing, benchmark results, and real world performance metrics.

Compare Benchmarks

See how models perform across common benchmark datasets and tasks.

Analyse Pricing & Performance

Compare model costs and token efficiency to find the right balance for your use case.

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Data structure

Phaseo collects and organises data in several key categories: Each of these categories is discussed in the documentation to help you navigate these pages and get the most out of the data.

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How Phaseo collects and updates data

Phaseo is powered by a vast, fully open database - built and maintained through a mix of automation and incredible community effort. While we have automated systems that track updates across providers and models, human contribution is the back bone of the project and is what keeps it running smoothly. When updates do occur:
  • 🧩 New models are added swiftly and documented with as much detail as possible.
  • 🔄 Provider changes - from pricing to endpoint tweaks - are continuously monitored and reviewed.
  • 🧠 Community contributions are carefully reviewed and merged through GitHub pull requests, ensuring quality and transparency.
You can contribute corrections or additions yourself, check out the Contributing guide for details. Phaseo is only as strong as the community behind it - and together, we’re building the most accurate and transparent record of AI progress in the world.

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Interpreting data on Phaseo

All data on Phaseo has been normalised for consistency:
  • Dates should always be formatted as DD MMM YYYY (e.g. 01 Jan 2022).
  • Prices are displayed in USD by default, normalised per 1 million tokens where applicable or appropriate units.
  • Performance scores are standardised to a common scale where possible.
  • Model families group together related models (e.g., GPT-5, Claude 4, Gemini 2.5, etc.).

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Example use cases

Here are some examples of how you might use Phaseo:

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Next steps

Explore Models

Explore the latest models in the database and dive deeper into how each one performs.

Learn About Benchmarks

Understand what benchmarks measure and how we can interpret results.
Last modified on July 26, 2026