Claude Haiku 5.5 is Anthropic's small model for frequent, time-sensitive work. Anthropic's October 7 release calls out summarization, compaction, database queries, classification, customer support, browser use, and narrow coding subagent tasks. The model ID is claude-haiku-5-5. Check your Tabbit account's model picker before planning a workflow around it: this article does not establish access for every account.
A four-step workflow in Tabbit
Select Claude Haiku 5.5 if it appears in your model picker.
Give it one bounded task. Specify the input, the output schema, and what counts as an uncertain answer.
Run a small sample first. Check whether the output obeys the schema and whether its facts match the source material.
Use Sonnet 5.5 or a human review for exceptions that need broader context, complex coding, or judgment across conflicting evidence.
For high-volume work, keep a few representative examples and record accuracy, latency, and rework. API token price alone does not measure the cost of a completed task.
Copyable task template
Process only the material I provide.
Task: [summarize, classify, or extract one defined item].
Return exactly these fields: [field names and allowed values].
If the source does not support a field, use "unknown". Do not fill gaps from memory.
Keep evidence for each nontrivial answer as a short source reference.
Before sending, check that every field is present and that no unsupported claim was added.This is an editorial template for a bounded workflow, not an Anthropic-published Haiku prompt. For sensitive data, follow your organization's handling rules before using an AI tool.
Choose the model by the job
| Job | Why Haiku 5.5 fits | Escalate when |
|---|---|---|
| Summarize many short pages | Consistent output and low latency matter | The decision depends on a long chain of sources |
| Classify support tickets | A fixed label set makes errors measurable | A wrong decision has a high cost |
| Extract fields from a page | Missing fields can be marked unknown | Layout or context is ambiguous |
| Coding subagent for a narrow file change | The task is easy to test and review | The change crosses several systems or needs architecture decisions |
Anthropic reports 39.2% on Terminal-Bench 4.0 for Haiku 5.5 versus 70.6% for Sonnet 5.5. Its OSWorld 2.1 result is 72.4% on an offline subset. These are vendor-reported benchmarks with task-specific settings, not a Tabbit performance guarantee. The model's review collection records the conditions beside each source.
The Haiku 5.5 prompt library collects model-specific configuration, while the Sonnet 5.5 model page and Sonnet 5.5 Tabbit guide cover the next tier. For earlier versions, see the Haiku 4.5 model page, Haiku 4.5 guide, Sonnet 5 guide, and Opus 5.5 model page.
Pricing and effort: read the conditions
On Anthropic's API, requests with prompts up to 100,000 tokens are priced at $0.10 per million input and $0.50 per million output tokens; above that prompt threshold, the listed rates are $0.50 and $2.50. Cache reads are $0.01 or $0.05 per million tokens across those two tiers. These figures do not describe Tabbit plan billing. Haiku 5.5 is the first Haiku model with an adjustable effort setting. If your client exposes it, test effort on the same tasks and measure finished-task quality as well as speed.
Tabbit BrowserSource
Anthropic: Claude Haiku 5.5, release, benchmark conditions, pricing, and effort; checked October 9, 2026.
FAQ
Can I use Claude Haiku 5.5 in Tabbit?
Check the live model picker in your Tabbit account. If Haiku 5.5 appears there, start with one small, verifiable task. Model availability can vary across accounts and rollouts.
When should I use Haiku 5.5 instead of Sonnet 5.5?
Start with Haiku 5.5 for many short, repeatable tasks where latency and volume matter. Escalate a task to Sonnet 5.5 when it needs broader reasoning, complex coding, or more sustained judgment.
How much does Haiku 5.5 cost?
Anthropic API pricing depends on whether the prompt exceeds 100,000 tokens. Its published input and output rates are $0.10 and $0.50 per million tokens up to that threshold, and $0.50 and $2.50 above it. Tabbit plan billing may differ.
Which effort level should I start with?
If your client exposes effort settings, start with its default on a small sample, then compare lower and higher settings on the same task. Haiku 5.5 is the first Haiku model with adjustable effort.
Can Haiku 5.5 replace Sonnet for coding?
Use it first for narrow changes that have clear tests. Anthropic's Terminal-Bench 4.0 result is much lower than Sonnet 5.5's, so complex multi-step coding deserves a separate comparison and review.