Anthropic launched Claude Haiku 4.5, a latency-optimized “small” model that delivers associated ranges of coding effectivity to Claude Sonnet 4 whereas working higher than twice as fast at one-third the charge. The model is right away obtainable via Anthropic’s API and in affiliate catalogs on Amazon Bedrock and Google Cloud Vertex AI. Pricing is $1/MTok enter and $5/MTok output. Anthropic positions Haiku 4.5 as a drop-in substitute for Haiku 3.5 and Sonnet 4 in cost-sensitive, interactive workloads.
Positioning and lineup
Haiku 4.5 targets real-time assistants, customer-support automations, and pair-programming the place tight latency budgets and throughput dominate. It surpasses Sonnet 4 on “laptop computer use” duties—the GUI/browser manipulation underpinning merchandise like Claude for Chrome—and is described as materially enhancing responsiveness in Claude Code for multi-agent duties and speedy prototyping. Anthropic makes clear that Sonnet 4.5 stays the frontier model and “the perfect coding model on the planet,” whereas Haiku 4.5 presents near-frontier effectivity with bigger cost-efficiency. A useful pattern is Sonnet 4.5 for multi-step planning and parallel execution by a pool of Haiku 4.5 staff.
Availability, identifiers, and pricing
From day one, builders can title the model (claude-haiku-4-5
) on Anthropic’s API. Anthropic moreover states availability on Amazon Bedrock and Vertex AI; model catalogs would possibly exchange space safety and IDs over time, nevertheless the agency confirms cloud availability inside the launch publish. The API worth for Haiku 4.5 is $1/MTok (enter) and $5/MTok (output), with prompt-caching listed at $1.25/MTok write and $0.10/MTok be taught.
Benchmarks
Anthropic summarizes outcomes all through commonplace and agentic suites and comprises methodology particulars to qualify the numbers:
- SWE-bench Verified: straightforward scaffold with two devices (bash, file edits), 73.3% averaged over 50 trials, no test-time compute, 128K contemplating funds, default sampling. Includes a minor fast addendum encouraging intensive gadget use and writing assessments first.
- Terminal-Bench: Terminus-2 agent, widespread over 11 runs (6 with out contemplating, 5 with 32K contemplating funds).
- OSWorld-Verified: 100 max steps, averaged all through 4 runs with a 128K complete contemplating funds and 2K per-step configuration.
- AIME / MMMLU: averages over plenty of runs using default sampling and 128K contemplating budgets.


The publish emphasizes coding parity with Sonnet 4 and computer-use useful properties relative to Sonnet 4 beneath these scaffolds. Clients ought to duplicate with their very personal orchestration, gadget stacks, and contemplating budgets sooner than generalizing.
Key Takeaways
- Haiku 4.5 delivers Sonnet-4-level coding effectivity at one-third the charge and higher than twice the tempo.
- It surpasses Sonnet 4 on computer-use duties, enhancing responsiveness in Claude for Chrome and multi-agent flows in Claude Code.
- Actually useful orchestration: use Sonnet 4.5 for multi-step planning and parallelize execution with plenty of Haiku 4.5 staff.
- Pricing is $1/$5 per million enter/output tokens; obtainable via Claude API, Amazon Bedrock, and Google Cloud Vertex AI.
- Launched beneath ASL-2 with a lower measured misalignment cost than Sonnet 4.5 and Opus 4.1 in Anthropic’s assessments.
Anthropic’s positioning of Claude Haiku 4.5 is strategically sound: by delivering associated ranges of coding effectivity to Claude Sonnet 4 at one-third the charge and higher than twice the tempo, whereas surpassing Sonnet 4 on laptop computer use, the company affords devs a transparent planner–executor break up—Sonnet 4.5 for multi-step planning and a pool of Haiku 4.5 staff for parallel execution—with out forcing architectural modifications (“drop-in substitute” all through API, Amazon Bedrock, Vertex AI). The ASL-2 launch, coupled with a documented lower misalignment cost than Sonnet 4.5 and Opus 4.1, lowers the friction for enterprise rollout the place safety gates and worth envelopes dominate deployment math.
Check out the Technical particulars, system card, model internet web page, and documentation . Be completely happy to try our GitHub Net web page for Tutorials, Codes and Notebooks. Moreover, be completely happy to adjust to us on Twitter and don’t neglect to hitch our 100k+ ML SubReddit and Subscribe to our E-newsletter. Wait! are you on telegram? now you’ll be capable to be a part of us on telegram as correctly.

Asif Razzaq is the CEO of Marktechpost Media Inc.. As a visionary entrepreneur and engineer, Asif is devoted to harnessing the potential of Artificial Intelligence for social good. His most recent endeavor is the launch of an Artificial Intelligence Media Platform, Marktechpost, which stands out for its in-depth safety of machine learning and deep learning info that’s every technically sound and easily understandable by a big viewers. The platform boasts of over 2 million month-to-month views, illustrating its repute amongst audiences.
🙌 Observe MARKTECHPOST: Add us as a hottest provide on Google.
Elevate your perspective with NextTech Data, the place innovation meets notion.
Uncover the latest breakthroughs, get distinctive updates, and be part of with a world neighborhood of future-focused thinkers.
Unlock tomorrow’s traits proper this second: be taught additional, subscribe to our e-newsletter, and alter into part of the NextTech group at NextTech-news.com
Keep forward of the curve with NextBusiness 24. Discover extra tales, subscribe to our publication, and be part of our rising neighborhood at nextbusiness24.com