What is Claude Haiku 5.5 Token Counter?
This Claude Haiku 5.5 token counter guide explains how to plan prompts for claude-haiku-5-5 and read its API price tiers. Anthropic positions Haiku 5.5 for high-volume, latency-sensitive tasks such as classification, routing and extraction.
The official model documentation lists a 1M-token context window and up to 128K output tokens. Haiku 5.5 also uses an updated tokenizer relative to Haiku 4.5, so recount the same text with the new model instead of carrying forward an old model's token total.
Claude Haiku 5.5 Tokenizer Support in Tiktokenizer
Support level: reference-only. The project does not load a verified Haiku 5.5 tokenizer in the browser. The default o200k_base explorer can show reference text splits, but its count and IDs are not Claude tokenization and are not labeled compatible or exact for Haiku.
Use Anthropic's Messages count_tokens operation with model claude-haiku-5-5 for a model-aware input estimate. Anthropic documents this as an estimate that can differ slightly from actual Messages usage. No provider request is made by this local editor.
Claude Haiku 5.5 Pricing and Cost Notes
Facts checked on 2026-10-08. All rates in this table are USD per 1M tokens, verified against Anthropic's official pricing page. Choose the tier from the full prompt's input length, not a reference-encoding total or the output length.
Prompts up to and including 100,000 input tokens use the first tier; longer prompts use the second. Cache reads, 5-minute writes and 1-hour writes are separately priced. Allocate each input token to its actual input or cache category instead of charging it twice. Batch processing, geography and other features may change the final cost.
| Usage category | Input ≤ 100k / 1M | Input > 100k / 1M |
|---|---|---|
| Input | $0.10 | $0.50 |
| Output | $0.50 | $2.50 |
| Cache read | $0.01 | $0.05 |
| 5-minute cache write | $0.125 | $0.625 |
| 1-hour cache write | $0.20 | $1.00 |
How to Count Claude Haiku 5.5 Tokens
- 1. Paste text in the local explorer if you want a private reference-encoding comparison, with visible token boundaries and IDs.
- 2. Prepare your actual Claude request, including the system prompt, messages, supported client tools and media. Do not use an OpenAI encoding result as the Haiku price-tier boundary.
- 3. In your own application, call Anthropic's Messages count_tokens operation with model claude-haiku-5-5. Follow its supported input formats and treat the result as a preflight estimate.
- 4. Inspect the actual Messages usage for ordinary input, cache reads, cache writes and output, then apply the relevant tier and rates. This browser never asks you to paste a provider API key.
Token Count vs Billed Usage
The editor cannot reproduce Claude's chat template, system formatting, tool schemas or image and document processing. Anthropic's preflight endpoint counts supported structured content; requests involving unsupported server tools or source formats must be checked against the endpoint documentation and actual Messages usage.
Generation determines output and thinking usage, and provider cache state determines reads and writes. Anthropic also notes that its estimate can include automatically added system tokens that are not billed. For the invoice, use the actual usage categories and provider pricing rather than assuming every token in a preflight estimate has the same charge.
Tiktokenizer Reference Sources
Tokenizer behavior and model limits change. Verify production decisions with current provider documentation: