Claude Sonnet 4.5 vs Claude Haiku 4.5

Workhorse against the cheap tier for high-volume traffic.

Prices verified 4 Aug 2026
Input / 1M$3.00
Output / 1M$15.00
Cached input / 1M$0.300
Batch50% off
Context200K tokens
Blended (3:1)$6.00
Input / 1M$1.00
Output / 1M$5.00
Cached input / 1M$0.100
Batch50% off
Context200K tokens
Blended (3:1)$2.00

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 Sonnet 4.5Claude Haiku 4.5Difference
Customer support chatbot
50K/day · 800 in / 300 out
$10.5K$3,500.60Claude Haiku 4.5saves $7,001.20Model it →
RAG / search answers
20K/day · 3000 in / 400 out
$9,132.00$3,044.00Claude Haiku 4.5saves $6,088.00Model it →
Agent / tool-use loop
8.0K/day · 2500 in / 600 out
$4,018.08$1,339.36Claude Haiku 4.5saves $2,678.72Model it →
Batch summarization
100K/day · 5000 in / 500 out
$68.5K$22.8KClaude Haiku 4.5saves $45.7KModel it →
Code assistant
15K/day · 2000 in / 800 out
$8,218.80$2,739.60Claude Haiku 4.5saves $5,479.20Model it →

Frequently asked questions

Which is cheaper, Claude Sonnet 4.5 or Claude Haiku 4.5?

At a typical 3:1 input-to-output ratio, Claude Haiku 4.5 is cheaper: $2.00 blended per 1M tokens against $6.00. That holds at every input:output ratio — one model is cheaper on both rates.

What is the price difference between Claude Sonnet 4.5 and Claude Haiku 4.5?

Claude Sonnet 4.5: $3.00 input, $15.00 output per 1M tokens. Claude Haiku 4.5: $1.00 input, $5.00 output. That is 3.0x on input and 3.0x on output.

Does prompt caching change the answer?

Claude Sonnet 4.5 caches input at $0.300/1M and Claude Haiku 4.5 caches at $0.100/1M. 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 TokenOps shows what each one actually costs you in production, by team and feature, so a routing decision is made on data rather than on a price page.