Roar AI
Get started
All models
Head to head

Claude Opus 5.5 vs Claude Opus 5

Opus 5.5 is the upgrade: Anthropic says it costs about 40% less on typical work and writes its answers more than 30% faster. Opus 5 remains for products tuned on it, and for calls that need thinking switched off.

Choose Claude Opus 5.5 if

  • Any new work.
  • Lower cost and faster answers.
  • Newer knowledge, to June 2026.
About Claude Opus 5.5

Choose Claude Opus 5 if

  • A product already tuned and tested on Opus 5.
  • Calls that need thinking switched off.
  • No time to re-test before a deadline.
About Claude Opus 5

Side by side

Claude Opus 5.5Claude Opus 5
Made byAnthropicAnthropic
ReleasedSeptember 2026July 2026
Input price, per 1M tokensS$5.36S$6.70
Output price, per 1M tokensS$26.78S$33.48
Cached input, per 1M tokensS$0.2678S$0.6695
Batch (about half price)YesYes
Context window1M tokens1M tokens
Longest answer128K tokens128K tokens
ReadsText, Images, PDFsText, Images, PDFs
Thinks before answeringAlways onYes, adjustable
Open weightsNoNo

Prices are Roar AI’s published rates, live from our price list. Specs are each lab’s own published figures. Prices are our published US dollar rates converted at S$1.30 to the dollar, our rate for October — the same rate your card is charged.

What a real job costs

Take 1,000 requests, each about 3,000 tokens in and 1,000 out — a long prompt and a page of answer.

Claude Opus 5.5S$42.85
Claude Opus 5S$53.56

Claude Opus 5.5 does the same job for 1.3× less. Models that think before answering spend extra output tokens doing it, so on hard prompts the real gap can be wider than the rates suggest.

Use both, switch any time

On Roar AI both are on the same key and the same monthly invoice, paid in your local currency. Trying the other one is a one-word change:

client.chat.completions.create(model="claude-opus-5-5", …)
client.chat.completions.create(model="claude-opus-5", …)

Send the same prompts to both for a day and compare the answers on your own work — that settles it faster than any benchmark. Read the docs.

Try both
on one key

Send the same prompts to each and compare the answers on your own work.