Explore Claude Haiku 4.5: Fast, Capable, and Cost‑efficient AI Model
Claude Haiku 4.5 delivers quick responses, strong reasoning on routine problems, and the same smart performance you expect from frontier models.
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Elevated Efficiency in Action
With Claude Haiku 4.5, Anthropic has crafted a model that offers premium speed and efficiency at a lower cost.
Benchmark-Parity Coding Performance
Claude Haiku 4.5 scored 73.3 % on the SWE-bench Verified coding benchmark, placing it nearly equal to the higher-tier Claude Sonnet 4 model, delivering equivalent coding strength at a fraction of the cost.
Flexible Deployment and Ecosystem Fit
Claude 4.5 Haiku’s broad API support makes it easy to integrate across existing stacks and observability workflows. It pairs well with retrieval pipelines and multimodal inputs, enabling fast RAG, form understanding, and agent-style orchestration.
Low Latency & High Throughput
While Sonnet 4 has an edge in deep reasoning, Claude Haiku 4.5 runs at more than twice the speed of its larger sibling in many workflows, making it ideal for interactive, latency-sensitive applications.
Agile Workflows at Scale
Designed for high-volume or real-time environments, Claude Haiku 4.5 supports many concurrent threads and offers significantly faster output than larger models. Deploy smart assistants, automate routine tasks or support many users at once.
Claude Haiku 4.5 is the Small Model that Delivers Big Wins
Claude Haiku 4.5 combines speed, reliability, and versatility to fit seamlessly into daily workflows for creators and teams.
Near-Frontier Quality
Despite being a “smaller” model class, Claude Haiku 4.5 matches or even surpasses many tasks achieved by higher-tier models like Sonnet, closing the performance gap.
Multilingual Fluency
Understands and produces multiple languages, supporting global teams with clear translations, localized tone, and culturally aware phrasing.
High-Token-Count Context Window
Supports a standard ~200k token context, allowing the model to handle long documents or extensive conversation histories in one go.
Tool & Computer-Use Integration
Equipped to perform “computer use” tasks like interpreting screenshots, clicking buttons, typing through a virtual keyboard, and navigating interfaces autonomously.
Cost-Efficient at Scale
With input/output pricing significantly lower than many frontier models (e.g., ~$1 input / ~$5 output per million tokens), it makes large-scale deployment more viable.
Agentic & Parallel Execution Ready
As a tool designed for multi-agent workflows, a planner model (e.g., Sonnet) can assign many Haiku 4.5 “workers” in parallel, boosting throughput and efficiency.
Transparent “Extended Thinking” Mode
When enabled, the model exposes its internal chain of thought and reasoning process, offering users more insight and trust in complex outputs.
Enhanced Safety & Alignment Standard
Released under ASL-2 safety protocol (vs more restrictive for large frontier models) and designed with alignment improvements to ensure reliable and productive behaviour.
Wide Platform & API Accessibility
Available via APIs, integrated into platforms like Amazon Bedrock and Google Cloud Vertex AI, and usable across apps, making it accessible across tech stacks.
Frequently Asked Questions
Learn what other people are asking about Claude Haiku 4.5.