What to compare
- provider and exact model
- input and output token basis
- cache and batch assumptions
- time to first token and throughput
- price date and measured versus estimated cost
Read the sources
Artificial Analysis methodology ↗
Definitions behind reported model quality, inference speed and price comparisons.
Read the methodology and linked measurements; automated access or republication needs its own terms review. Keep the provider, endpoint, test configuration and measurement date with any cited result.
Anthropic API pricing ↗
Provider definitions for input, output, caching and feature-specific model charges.
Public pricing documentation. No paid model call is made by this collection. A calculated estimate is not an invoice. Recheck the exact model, region, token basis and effective date.
When to look again
At initial architecture review, after pricing or traffic changes, and during scheduled cost reviews.
Give your agent this question
Make a cost worksheet for the supplied workload. Cite the provider's current price, show token and cache assumptions, and keep estimated spend separate from reported usage and observed invoices.