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Haiku 5.5
Haiku 5.5 is the cheapest, fastest small model in the Claude line, built for high-volume work like summarising, classifying and querying data. It runs roughly 75% cheaper than Haiku 4.5 and adds an adjustable effort setting.
What Is Haiku 5.5?
Haiku 5.5 is the newest small model in Anthropic's Claude line and the fastest in the Haiku class so far. It is built for work that runs millions of times rather than once: summaries, context compaction, database queries, classification and extraction at scale. Running it costs about 75% less than Haiku 4.5, and prompts up to 100,000 tokens — roughly nine in ten calls to the previous Haiku — sit in the cheapest price band. It is also the first Haiku-class model with an adjustable effort setting, so one model covers both a quick draft and a careful answer. On coding work it serves as a subagent beside Opus 5.5 and Sonnet 5.5, handling short lookups while the larger model reasons.
- Built for Volume, Not for One-OffsHaiku 5.5 is aimed at the requests that repeat: summaries, classification, database lookups and context compaction. It holds the same answer quality across thousands of calls, so a pipeline can be left to run without someone checking every line.
- Roughly 75% Cheaper to RunInput sits at $0.10 per million tokens and output at $0.50 for prompts up to 100,000 tokens. Against Haiku 4.5 that works out at about a 75% saving on average, which changes what is affordable to automate.
- Adjustable Effort, One ModelEffort can be set from Low through to Max, so the same model covers a throwaway draft and a task that needs more thought. Teams pick the point on the cost-versus-intelligence curve that fits the job instead of switching models.
How to Use Haiku 5.5
Three steps are enough: bring the material in, describe the outcome you want, then set the effort level and run it. Nothing needs installing and no pipeline has to be built first, so a first result arrives in seconds rather than in a sprint.
Why Teams Choose Haiku 5.5
Haiku 5.5 covers the work that used to be too expensive to automate. It summarises long documents, labels and sorts records at scale, keeps answers auditable, and stays quick enough for live traffic. Set the effort level, run it across a batch, and the cost per answer drops far enough that ideas previously kept off the roadmap become worth building.
Summaries and Compaction at Scale
Long documents collapse into short, faithful summaries, and long conversations compact without losing the thread. The model is quick enough to do this on every request rather than on a nightly job.
Classification and Data Lookups
Records get sorted, tagged and routed automatically, and specific figures get pulled out of filings and reports on demand. It keeps hit rates high and false positives low across large batches.
A Subagent Beside Opus 5.5 and Sonnet 5.5
While a larger model plans and reasons, it runs the short, cheap steps in between: opening a file, finding one number, checking one field. The split keeps agent quality high and the bill low.
Fast Enough for Live Traffic
As the quickest model in the Claude line, it suits customer support, chat and browser-driven tasks where a pause is noticed. Latency drops enough that assistants feel responsive rather than queued.
Auditable Answers, Tighter Safeguards
Output separates sources from inference and keeps a short record of the steps taken. Alignment results improved markedly over Haiku 4.5, and cyber safeguards sit between Haiku 4.5 and Sonnet 5.5.
Premium Plans & Pricing
Choose the perfect plan for your AI Video/Image Generator needs and start creating professional videos.
Basic-Yearly
$0.015/credit
Includes these features:
- 7200 credits per year
- High quality AI image Generator
- Powerful AI Video Generation
- AI video effect features
- Commercial License
- Fast generation queue
- Private generations
- Valid for 1 year
- Cancel anytime
/Year
Pro-Yearly
$0.013/credit
Includes these features:
- 25200 credits per month
- High quality AI image Generator
- Powerful AI Video Generation
- AI video effect features
- Commercial License
- Fast generation queue
- Private generations
- Valid for 1 year
- Cancel anytime
/Year
Max-Yearly
$0.01/credit
Includes these features:
- 54000 credits per year
- High quality AI image Generator
- Powerful AI Video Generation
- AI video effect features
- Commercial License
- Fast generation queue
- Private generations
- Valid for 1 year
- Cancel anytime
/Year
Haiku 5.5 — Frequently Asked Questions
Answers on what Haiku 5.5 is, how it compares with Haiku 4.5 and Sonnet 5.5, what it costs, which tasks suit it best, and where it can be run.
What is Haiku 5.5?
It is the newest and fastest small model in Anthropic's Claude line, aimed at high-volume, cost-sensitive work such as summarising, classifying, compacting context and answering lookups.
How does Haiku 5.5 compare with Haiku 4.5?
It scores far higher across benchmarks such as GDPval-AA v2.1 and OSWorld 2.1 while costing around 75% less to run, and it is the first Haiku-class model with an adjustable effort setting.
When should I reach for Sonnet 5.5 or Opus 5.5 instead?
When the task turns on depth rather than throughput. Haiku 5.5 pairs well with the larger Claude models: they plan and reason, while it handles the quick, repetitive steps around them.
What does Haiku 5.5 cost?
For prompts up to 100,000 tokens, input is $0.10 and output $0.50 per million tokens, with cache reads at $0.01. Long prompts over that threshold cost more, and roughly nine in ten calls to the previous Haiku fall under it.
Where can I run Haiku 5.5?
It is available on AWS, Google Cloud and Microsoft Azure, and on the Claude Platform under the model ID claude-haiku-5-5. Browser access needs no setup at all.
Is Haiku 5.5 safe for automated workflows?
Yes. Alignment evaluations improved significantly over Haiku 4.5, safeguards block misuse while permitting defensive cyber work, and biology limits match those applied to Sonnet 5 and Opus 5.
Put Haiku 5.5 to Work on the Boring Parts
Open the workspace, bring in a document or a batch of records, and let Haiku 5.5 handle the summarising, sorting and lookups at a cost that makes running it everywhere realistic. Set the effort level, get a result in seconds, then scale it up.