Claude Haiku 5.5 is Anthropic's fastest and cheapest small model, launched October 7, 2026. Anthropic says it costs about 75% less than Haiku 4.5 on most workloads, but that is an average. Per token it is roughly 90% cheaper on short prompts and only about 50% cheaper once a request passes 100,000 tokens. The practical move for solo creators and small teams is to route repetitive grunt work to Haiku and keep planning and taste work on a premium model.
The head chef should not chop onions
Most small teams use one strong model for everything, which is the AI version of asking a head chef to chop 200 onions. The prep work (formatting JSON, auditing page titles, pulling data from hundreds of pages) does not need the most expensive model in the building.
That is the job Haiku 5.5 is built for. Across the launch videos, the framing is the same: Opus 5.5 or Sonnet 5.5 plans, and Haiku does the small, fast pieces.
What Haiku 5.5 costs, and why 75% is not the whole story
Per Stepwise's walkthrough, launch pricing is $0.10 per million input tokens and $0.50 per million output tokens, against $1 and $5 for Haiku 4.5. That is a tenth of the old price on short prompts.
So where does "75% cheaper" come from? Leonardo Grigorio notes Anthropic's own framing is "around 75% cheaper on average," while VentureBeat's headline says 90. The gap is the 100,000 token tier. Stepwise puts it plainly: longer requests "get a smaller cut, half the old price instead of a tenth."
Third-party write-ups put the long tier at $0.50 in and $2.50 out per million tokens, applied to every token in the request. Those are not Anthropic's own figures, so confirm the thresholds on Anthropic's pricing page before you budget.
The effort setting is a cost dial
Kaya Rezende calls it the headline feature: Haiku 5.5 is the first Haiku with an adjustable effort setting. Secondary sources list five levels (low, medium, high, xhigh, max) with medium as the default.
Does cranking it to max erase the savings? You usually do not need to. The episode's read is that low-effort, high-volume work is where Haiku shines: SEO audits, JSON formatting, extracting specific data from many pages. Check Anthropic's docs for the exact parameter name, since the API syntax was not confirmed in the sources.
One caution on benchmarks. Haiku 4.5 scored 0% on Terminal Bench, and Leonardo reads VentureBeat's chart as about 39 at top effort and about 20 at the default. Artificial Analysis reportedly measured 33% in its own harness. The headline number is a max-effort result, and the default setting does less.
Subagent armies: when they save money and when they backfire
Because Haiku is dramatically cheaper than Opus 5.5, creators are building manager-and-intern setups: one big model plans, an army of Haiku subagents executes. The most-watched video on this question is Dubibubi's "Can an Army of Claude Haiku 5.5 Subagents Beat Opus 5.5?" (97,646 views).
The results depend on the job, and they come from individual creator tests, not benchmarks:
Clean, split-up tasks: in one code review test, the Haiku team reportedly found 89 real bugs and cut API costs by 61% compared with a premium model doing it all.
Work that needs one creative vision: in an animated film test, constant handoffs between manager and interns ran up to 80% more than Opus alone and took an extra hour.
If the task needs taste or an understanding of how all the pieces fit, delegation eats the savings. If it splits into independent pieces, the cheap model wins.
Should you just run a local model instead?
The free-model fantasy is running something like Qwen 27B on your own graphics card. The Stack's video "Claude Haiku 5.5 Vs Qwen 27B: Is Local Worth It?" is the reference here. In the test discussed in the episode, a task that took Haiku about two minutes took a local model five to 11 minutes, while saving only pennies in electricity compared with API fees.
Local still makes sense for strict code privacy, or for very long context sessions where Haiku's price jumps. For most creators, a high-end GPU bought to dodge API fees does not pay for itself.
The 100,000 token tripwire
This is the catch worth remembering. If a single conversation or request crosses 100,000 tokens, Haiku's price jumps five-fold. Long chat histories and big document dumps are the usual culprits.
Practical habits: start fresh conversations for new jobs, send only the files a task needs, and watch the context size on any long-running agent.
Try it free, then route the work
You can test Haiku 5.5 on the free Claude plan before spending anything, which is a cheap way to check it handles your own data.
Then build a routing sheet: tedious, repetitive work to Haiku, planning and taste to a premium model. At low effort, Haiku can also mark coding tasks finished too early, so add a line to your prompts asking it to run a real test or type check before reporting complete.
FAQ
How much cheaper is Claude Haiku 5.5 than Haiku 4.5?
Anthropic's figure is about 75% cheaper on average. Per token, launch pricing is $0.10 input and $0.50 output per million tokens for prompts under 100,000 tokens, versus $1 and $5 for Haiku 4.5.
What does the Haiku 5.5 effort setting do?
It lets you choose how much processing the model applies to a task. Sources list five levels (low, medium, high, xhigh, max), with medium as the default. Lower effort costs less and suits routine work.
When do Haiku subagents cost more than one premium model?
When the work is interdependent or creative. In one creator's film test, a Haiku team cost up to 80% more than Opus alone because of constant handoffs. On cleanly split tasks, such as code review, one test saved 61%.
What is the Haiku 5.5 price jump at 100,000 tokens?
Once a request passes 100,000 tokens, the price rises about fivefold, so the per-token saving versus Haiku 4.5 shrinks from about 90% to about 50%.
Companion episode:
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