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Phaseo tracks a broad open catalog of text, image, audio, video, embedding, and other AI models. Each model page on Phaseo includes detailed technical and commercial information to help you evaluate, compare, and select the right model for your needs.
The catalog is broader than the Gateway. The Models page shows models with an active Gateway route by default. Select a different Gateway Status only when you intentionally want to inspect coming-soon or inactive catalog entries.

What you’ll find on a model page

Every model on Phaseo contains the following key sections:

Catalog models vs routable models

Use these terms consistently: For programmatic discovery, GET /v1/models returns only routable models by default. Set availability=all to inspect the broader set.

Example model page

Here’s an example of what a model’s data might look like within Phaseo: GPT-5 Model Page

Comparing models

You can compare models side-by-side on metrics such as performance, pricing, and features. Phaseo automatically highlights differences and ranks models based on various benchmark averages.

Compare Models

Analyze cost vs performance trade-offs to choose the right model for your workload.

View Benchmarks

Understand how benchmark scores are gathered and standardized.

Finding models by criteria

Use filters and tags across the Phaseo interface to locate models that fit your needs:
  • By provider: “Show all Anthropic models.”
  • By capability: “List models supporting JSON structured responses.”
  • By benchmark: “Top-10 models on GPQA.”
  • By pricing: “Models costing under $0.01 per 1K tokens.”
  • By release date: “Recently released models.”
Each filter combines seamlessly, letting you discover exactly what you need.

Contributing model updates

Because AI evolves rapidly, Phaseo relies on contributors to keep model data accurate. Open a GitHub issue to report a correction, submit missing benchmarks, or request new metadata. Include the model page and official sources; maintainers apply approved updates through the database editor.

Contribute Model Data

Learn how to report a model correction or request a missing entry.

Next steps

Now that you understand how models are structured, you can move on to learn about the organizations that build them.

Explore Organizations

Discover the companies and research groups behind each model.
Last modified on October 18, 2026