And talking of value, Haiku 4.5 is included for subscribers of the Claude net and app plans. By way of the API (for builders), the small mannequin is priced at $1 per million enter tokens and $5 per million output tokens. That compares to Sonnet 4.5 at $3 per million enter and $15 per million output tokens, and Opus 4.1 at $15 per million enter and $75 per million output tokens.
The mannequin serves as a less expensive drop-in substitute for 2 older fashions, Haiku 3.5 and Sonnet 4. “Customers who depend on AI for real-time, low-latency duties like chat assistants, customer support brokers, or pair programming will respect Haiku 4.5’s mixture of excessive intelligence and memorable velocity,” Anthropic writes.
Claude 4.5 Haiku solutions the traditional Ars Technica AI query, “Would the colour be referred to as ‘magenta’ if the city of Magenta didn’t exist?”
On SWE-bench Verified, a take a look at that measures efficiency on coding duties, Haiku 4.5 scored 73.3 p.c in comparison with Sonnet 4’s related efficiency stage (72.7 p.c). The mannequin additionally reportedly surpasses Sonnet 4 at sure duties like using computers, in response to Anthropic’s benchmarks. Claude Sonnet 4.5, released in late September, stays Anthropic’s frontier mannequin and what the corporate calls “the most effective coding mannequin obtainable.”
Haiku 4.5 additionally surprisingly edges up near what OpenAI’s GPT-5 can obtain on this explicit set of benchmarks (as seen within the chart above), though because the outcomes are self-reported and doubtlessly cherry-picked to match a mannequin’s strengths, one ought to all the time take them with a grain of salt.
Nonetheless, making a small, succesful coding mannequin could have surprising benefits for agentic coding setups like Claude Code. Anthropic designed Haiku 4.5 to work alongside Sonnet 4.5 in multi-model workflows. In such a configuration, Anthropic says, Sonnet 4.5 might break down advanced issues into multi-step plans, then coordinate a number of Haiku 4.5 situations to finish subtasks in parallel, like spinning off staff to get issues completed sooner.
For extra particulars on the brand new mannequin, Anthropic launched a system card and documentation for builders.
