Claude Haiku 4.5
Fast, cost-efficient multimodal language model for low-latency agents and scaled reasoning workloads
Claude Haiku 4.5
Fast, cost-efficient multimodal language model for low-latency agents and scaled reasoning workloads
Claude Haiku 4.5 Overview
Claude Haiku 4.5 is Anthropic's fastest and most cost-efficient Claude model. It is built for latency-sensitive applications, high-volume agents, sub-agent orchestration, coding assistance, and budget-conscious deployments that still need strong reasoning and multimodal understanding.
Commercial use
How to Use Claude Haiku 4.5
Overview
Claude Haiku 4.5 is a fast, cost-efficient multimodal language model for low-latency applications, scaled agent workloads, and budget-sensitive deployments.
It is best suited to teams that need strong coding and reasoning performance at higher throughput and lower cost than larger frontier models.
Strengths
Low Latency and High Throughput
Claude Haiku 4.5 is built for fast responses and scaled deployments. It is a strong fit for interactive systems, background workers, and high-volume AI products.
Cost-Efficient Agent Work
The model works well for sub-agent orchestration, parallel task execution, and workloads where many model calls need to remain affordable.
Strong Coding Performance for the Size
Claude Haiku 4.5 is a capable coding model despite its smaller footprint, making it useful for coding assistants, rapid prototyping, and development workflows that prioritize speed.
Practical Multimodal Understanding
The model supports image understanding in addition to text, which helps it handle visual context in workflows that need screenshot interpretation or image-grounded reasoning.
Good Fit for Real-Time Products
Haiku 4.5 is well suited to chat assistants, customer support systems, real-time analysis tools, and other product experiences where responsiveness matters as much as raw intelligence.
Capabilities
Text-to-Text
Claude Haiku 4.5 supports general-purpose text generation, structured responses, coding assistance, reasoning, and agent execution workflows.
Image-to-Text
The model accepts image inputs for multimodal tasks such as screenshot understanding, visual reasoning, and image-grounded assistance.
Input and Output
- AIR ID:
anthropic:[email protected] - Input: text and image inputs
- Output: text responses
Best Fit
- Real-time chat and support systems
- High-volume AI agents
- Coding sub-agents and rapid prototyping
- Budget-conscious multimodal products
- Parallelized reasoning and automation workloads
More models from Anthropic
Claude Opus 4.7 is Anthropic's highest-capability generally available Claude model. It is designed for demanding coding, agent orchestration, multimodal reasoning, and high-stakes professional workflows, with stronger instruction following, better high-resolution vision, adaptive thinking, and a 1M-token context window.
Claude Sonnet 4.6 is Anthropic's most capable Sonnet model, built for daily production use across coding, agent workflows, long-context reasoning, computer use, and professional knowledge work. It supports adaptive and extended thinking, strong instruction following, high-volume automation, and a 1M-token context window in beta.