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Compare these two on your own workload

Published rates rank differently once prompt caching, batch discounts and your own input-to-output ratio are applied. Run both against your numbers.

Claude Opus 5 vs Claude Sonnet 5

Whether frontier-tier capability is worth 2.5x the price.

Prices verified 30 Oct 2026
Input / 1M$5.00
Output / 1M$25.00
Cached input / 1M$0.500
Batch50% off
Context1.0M tokens
Blended (3:1)$10.00
Input / 1M$2.00
Output / 1M$10.00
Cached input / 1M$0.200
Batch50% off
Context1.0M tokens
Blended (3:1)$4.00

Monthly cost by workload shape

The same volume costs very different amounts depending on the shape of the traffic. No caching or batch applied.

WorkloadClaude Opus 5Claude Sonnet 5Difference
Support chat
200/day · 1500 in / 300 out
$91.32$36.53Claude Sonnet 5saves $54.79Model it →
RAG / search answers
20K/day · 3000 in / 400 out
$15.2K$6,088.00Claude Sonnet 5saves $9,132.00Model it →
Agent / tool-use loop
8.0K/day · 2500 in / 600 out
$6,696.80$2,678.72Claude Sonnet 5saves $4,018.08Model it →
Batch summarization
100K/day · 5000 in / 500 out
$114.2K$45.7KClaude Sonnet 5saves $68.5KModel it →
Code assistant
15K/day · 2000 in / 800 out
$13.7K$5,479.20Claude Sonnet 5saves $8,218.80Model it →

Frequently asked questions

Which is cheaper, Claude Opus 5 or Claude Sonnet 5?

At a typical 3:1 input-to-output ratio, Claude Sonnet 5 is cheaper: $4.00 blended per 1M tokens against $10.00. Claude Sonnet 5 is cheaper at every input and output mix.

What is the price difference between Claude Opus 5 and Claude Sonnet 5?

Claude Opus 5: $5.00 input, $25.00 output per 1M tokens. Claude Sonnet 5: $2.00 input, $10.00 output. That is 2.5x on input and 2.5x on output.

Does prompt caching change the answer?

Claude Opus 5 caches input at $0.500/1M and Claude Sonnet 5 caches at $0.200/1M. For input-heavy workloads with repeated context, caching can matter more than the base rate difference, model both in the calculator rather than comparing rate cards.

This page compares published prices only. It makes no claim about which model performs better on any task; that depends entirely on your evaluations.

Rate cards decide nothing on their own.

Most teams run several models at once. Finitizer Tokenomics shows what each one actually costs you, read from your own bills and exports, which workloads could test a smaller model, what they would cost on an open-weight model, and, for models you serve yourself, the cost per token beside the API price. A routing decision starts from your spend rather than a price page.

See Finitizer Tokenomics