# Compare model cost and latency

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Source documentation checked: 2026-10-09 (UTC). Directory digest: `d6020b185c1948e1d2ea6265edcb6d00574ca822925016219babede247d38cdd`.

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## Compare model cost and latency

Estimate the cost of a workload and inspect measured latency under stated conditions.

Decision question: Which provider and model meet the workload's quality, latency and spending constraints?

When to revisit: At initial architecture review, after pricing or traffic changes, and during scheduled cost reviews.

Agent research task: 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.

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

Sources:

- [Artificial Analysis methodology](https://artificialanalysis.ai/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](https://platform.claude.com/docs/en/about-claude/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.

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