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synced 2026-04-05
Claude 3.5 Sonnet input $3.00/1M ↓ -50%
GPT-4o input $2.50/1M
Gemini 1.5 Pro input $1.25/1M
Mistral Large input $2.00/1M ↓ -33%
DeepSeek V3 input $0.27/1M
synced 2026-04-05
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Prompt caching

Supports cached prompts for cost reduction

What is prompt caching?

Supports cached prompts for cost reduction

Why it matters

Understanding prompt caching helps developers make informed decisions when evaluating models and providers. This metric provides a concrete, comparable data point — removing guesswork from the selection process. When you know the numbers, the data decides.

Where models stand

No data available yet for this metric.

How sourc.dev tracks this

sourc.dev tracks prompt caching through its automated monitoring pipeline. Data is collected on a regular schedule, compared against previous values, and any changes are recorded in the history table with full provenance — source URL, effective date, and verification timestamp. Nothing is overwritten. The pipeline ensures this attribute stays current without manual intervention.

Related
Frequently asked questions
FAQ How does sourc.dev measure prompt caching?

sourc.dev monitors this attribute automatically via pipeline. Every data point includes a source URL and verification date. Changes are recorded in the history table — nothing is overwritten.

FAQ How often is prompt caching updated?

This attribute is monitored on a regular schedule by automated pipeline. Changes are detected and recorded automatically.

FAQ Why does prompt caching matter for developers?

Understanding prompt caching helps developers make informed decisions when choosing between models and providers. Rather than relying on marketing claims, sourc.dev provides verified, dated, source-linked data so the data decides.