How to Use Claude Haiku 5.5 in 2026: Cheap, Fast, and Ready for Subagent Duty

Meet Claude Haiku 5.5

1. 1

   Open the announcement page

   Anthropic announced Claude Haiku 5.5 on October 7, 2026, and the model page opens on the headline claim: the cheapest, fastest, and most capable small model the team has shipped. Note the model ID printed under the contents list - claude-haiku-5-5 - because you will reuse it in API calls later. The page's own table of contents runs Performance, Prompting, Pricing, which is a fair list of what to check before you build.

   

2. 2

   Read the benchmark jump

   The @claudeai launch post bills Haiku 5.5 as "a significant step up over Haiku 4.5 across coding, computer use, and knowledge work," and the table backs it: OSWorld 2.1 computer use leaps from 15.7% to 72.4%, Humanity's Last Exam climbs from 10.2% to 45.9% without tools and 57.4% with them, and Terminal-Bench 4.0 agentic coding lands at 39.2% where Haiku 4.5 scored zero. The same table shows GPT-6 Luna at 16.4% on Terminal-Bench, which is why reviewers keep pairing the two models.

   

3. 3

   Meet the effort dial

   Haiku 5.5 is the first Haiku shipped with an adjustable effort setting, so the same model can run cheap-and-fast or slower-and-smarter. The launch post's chart plots real-world knowledge tasks by effort level against cost per task: each step up from Low toward Max buys visibly more score. Leave it low for routine jobs; raise it exactly when a task gets tricky.

   

Where to run it

1. 4

   Find it in the Claude Platform

   In the Claude Platform, the Haiku 5.5 card puts everything on one screen: the claude-haiku-5-5 ID with a copy button, a "Try in playground" shortcut, and the full price and feature list - $0.10 input and $0.50 output per million tokens, 1M-token context, 128K max output, June 2026 knowledge cutoff, adaptive thinking enabled. Click "Try in playground" to send your first prompt without writing a line of code.

   

2. 5

   Switch your Claude Code to it

   Claude Code is where this model is meant to earn its keep, and the launch post confirms it was available there on day one. In the walkthrough the reviewer is mid-session in a Claude Code terminal, handing over a reference photo and asking for visual fixes to a C++ skateboarding game, while the trace shows Haiku 5.5 reading files and thinking at max effort. Point your existing Claude Code setup at Haiku 5.5 like any other model and watch the trace run cheap.

   

3. 6

   Test-drive it for free

   If you would rather compare before committing, third-party platforms host Haiku 5.5 too. The walkthrough's demo itself ran on World of AI Bench, a free vibe-coding benchmark offering 81+ frontier models with hands-on prompts and AI-judged scores. Send the same prompt to Haiku 5.5 and a rival, then read the difference yourself instead of trusting a thumbnail.

   

Pricing, specs, and limits

1. 7

   Check the official docs page

   The Claude Platform docs describe Haiku 5.5 as built for "high-volume, latency-sensitive work such as classification, routing, extraction, and subagent tasks," and the spec row confirms 1M context, 128K output, and From $0.10/$0.50 pricing. The overview adds a saving all by itself: the new tokenizer counts the same text as roughly 30% fewer tokens than Haiku 4.5. The same page links Anthropic's prompting guide for when you start tuning prompts.

   

2. 8

   Learn the two-tier pricing

   Pricing splits at 100,000 prompt tokens: below the line you pay $0.10 per million input and $0.50 per million output; above it the rates rise to $0.50 and $2.50. Anthropic's post notes about 90% of requests to the previous Haiku stayed under the threshold, so most workloads never leave the cheap tier. Next to the table's own columns, Sonnet 5.5 lists at $2/$10 and Haiku 4.5 at $1/$5 - which is how the top tier still comes out at about a quarter of Sonnet's price.

   

3. 9

   Watch the subscription meter

   On a subscription the cost you feel is usage limits, not tokens, and the settings panel shows exactly where you stand: current session, this week, and any 5-hour resets. Bijan Bowen ran roughly ten builds in one sitting and burned about 1% of his weekly Max-plan allowance - the cheap tier stretches a subscription a long way. Check the Usage page before a long batch so you know your real headroom.

   

First builds worth copying

1. 10

   Send one ambitious prompt

   For the walkthrough's signature demo, the reviewer asks Haiku 5.5 - in Ultracode mode on the benchmark platform - for a Call of Duty Zombies-style clone in Three.js. The artifact panel comes back with a playable prototype: night courtyard, flashlight in hand, a points HUD, and a written plan about death routes and door reroutes. One ambitious prompt in, one playable result out, is exactly the right first test for a new model.

   

2. 11

   Play it and probe the edges

   The reviewer then does what you should: play. The generated schoolhouse has boarded doors you can pay points to open, barricades to rebuild, weapons with their own sound effects, even a stamina system - all from the same build. Pushing on the edges of the output is how you find both the strengths and the seams of a small model.

   

3. 12

   Ask for polished frontend

   Frontend is where reviewers say Haiku 5.5 punches highest, so make your second test an interface. The demo's isometric room, titled "Hearth & Haven," layers warm textures, golden-hour lighting, and animated details like drifting dust motes, a candle flicker, and a swaying plant. Generation speed stays high while the price stays at the bottom of the Anthropic lineup.

   

4. 13

   Push beyond code

   The same reviewer credits Haiku 5.5 with respectable motion design: the showreel frame renders a perspective checkerboard animation complete with orbit and easing specs, and the narration says it finished in about 15 minutes where bigger models would take over 40. If your work touches animation at all, hand the model a motion brief, not just a coding one.

   

Haiku 5.5 vs the rest

1. 14

   Pair it with Opus as a subagent

   Anthropic's launch post recommends running Haiku 5.5 as a subagent under Opus 5.5 or Sonnet 5.5 and shows an egg-drop test: Opus alone finished in 1:05 with 10 designs tried for $0.17, while Opus plus ten Haiku 5.5 subagents tried 86 designs in 0:58 for $0.14. The orchestrator keeps the brains; the cheap model does the legwork. That is the job this model was built for.

   

2. 15

   Weigh it against the rivals

   A widely shared launch-week test ran Haiku 5.5 and Grok 4.7 on the same prompt at their highest reasoning: Haiku finished in 27 minutes at about $0.80 in Claude Code, while Grok needed 35 minutes and about $4.10 in its own build tool - roughly five times the cost. The poster still calls quality a close call, so run the same prompt on both before you switch any workflow over.

   

3. 16

   Mind the token bill at Max

   Cheap tokens are not the same as cheap tasks. Artificial Analysis measured Haiku 5.5 at Max effort using about 162k output tokens per Intelligence Index task - more than Opus 5.5 and roughly three times GPT-6 Luna - and one launch-week user reported a voxel-island generation costing about $25 on Haiku versus under $2 on Luna after crossing the 100k tier. Save Max for hard problems, let Low handle the routine, or the per-token bargain quietly evaporates.

   

Frequently asked questions