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Claude Haiku 4.5: Anthropic’s Light & Fast model

Claude Haiku 4.5 is Anthropic’s lighter, faster model designed as a mid-range option between their frontier models and smaller, cost-efficient successors.

It aims to deliver strong coding and reasoning capabilities at lower cost and with higher throughput than earlier small models, making it suitable for real-time tasks like chat assistants, debugging aids, and multi-agent workflows. It's a cheaper choice and can run faster than other larger frontier models.

Key Points about Claude Haiku 4.5

Here are the key features of this Claude model:

  • Positioning: A small, cost-efficient model intended to bridge the gap between high-end frontiers and lightweight deployments. It is designed for near-frontier performance with significantly improved cost-efficiency compared to prior small models.
  • Performance and use cases: Haiku 4.5 is optimized for coding-related tasks and interactive use cases. It targets faster response times for chat, coding assistance, and lightweight automation, while offering competitive capabilities relative to larger models in many scenarios.
  • Complementary with larger models: Haiku 4.5 can operate alongside Claude Sonnet 4.x models, enabling orchestration where Sonnet can plan or decompose problems and Haiku 4.5 executes subtasks in parallel. This enables scalable multi-agent workflows with a mix of planning and execution.

Performance and Benchmarks

Claude Haiku 4.5 delivers impressive performance metrics that often surpass those of larger, more expensive models, solidifying its position as a highly capable and efficient AI.

  • Speed and Latency: The model is optimized for near-real-time interaction, with response latencies under 200 milliseconds for small prompts. In comparable workloads, it can run up to three times faster than its sibling model, Claude Sonnet 4.5.
  • Computer Use Tasks: On the OSWorld benchmark, which evaluates an AI's ability to perform tasks using a computer's operating system, Haiku 4.5 achieved a 50.7% success rate. This score notably surpasses the 42.2% achieved by the more powerful Claude Sonnet 4 model.
  • Coding Prowess: When tested on the SWE-bench Verified benchmark for its ability to resolve real-world software bugs from GitHub repositories, Haiku 4.5 demonstrated a high level of proficiency with a 73.3% accuracy rate.

Comparison of Claude Haiku 4.5 and Other Models

Claude Haiku 4.5 sits within Anthropic’s Claude 4.5 family as the lightweight, fast, and cost-efficient option. It is designed for high-throughput, real-time tasks while maintaining solid coding and reasoning capabilities, but with a smaller footprint than the larger Sonnet 4.5 model.

Aspect Claude Haiku 4.5 Claude Sonnet 4.5 Claude Opus 4.1 GPT-5
Speed ★★★★★ (Fastest model) ★★★★☆ (2x faster than Sonnet 4) ★★★☆☆ (Balanced but slower than lighter models) ★★★★☆ (Competitive speed with efficient token usage)
Cost (Input/Output per 1M tokens) $1 / $5 (Most affordable for volume use) $3 / $15 (Mid-tier value for performance) $15 / $75 (Premium pricing for top-tier capabilities) $1.25 / $10 (Competitive low-end pricing with caching discounts)
Reasoning ★★★★☆ ★★★★★ ★★★★★ ★★★★★
Context Window 200K tokens 200K tokens 200K tokens 400K tokens
Coding ★★★★☆ (Matches Sonnet 4 level) ★★★★★ (World-leading; 77.2% on SWE-bench Verified) ★★★★☆ (74.5% on SWE-bench Verified) ★★★★★ (High-quality code with front-end support)
Multimodal Support Vision and image analysis Vision, image, and tool integration Vision and deep multimodal reasoning Full multimodal
Safety Advanced safety system with context awareness Enhanced tool handling and error correction Strong alignment for complex tasks Improved steerability and personality controls

Pricing

Anthropic has priced Claude Haiku 4.5 to be highly competitive, making advanced AI capabilities accessible for high-volume and enterprise-scale applications.

  • Cost Structure: The model is priced at $1 per million input tokens and $5 per million output tokens.
  • Price Comparison: While this represents a 25% price increase over its predecessor, Haiku 3.5, the model remains highly economical. It is approximately three times cheaper than the more powerful Sonnet 4.5 model, offering a compelling cost-to-performance ratio.

How to Use Claude Haiku 4.5 on HIX AI

Using Claude Haiku 4.5 on HIX AI is one of the most straightforward and restriction-free ways to access this model. It takes only a few simple steps to do so:

  1. Go to the HIX AI's AI chat page.
  2. Select Claude Haiku 4.5.
  3. Start your chat with this model!

Questions and Answers

How does Haiku 4.5 differ from Claude Sonnet 4.5?

Claude Haiku 4.5 emphasizes speed, throughput, and lower cost per token, ideal for real-time chat, lightweight coding, and agent-style tasks. Sonnet 4.5 focuses more on balanced capability, deeper reasoning, and larger-scale planning, suitable for complex multi-step tasks and cross-file reasoning.

What are typical use cases for Claude Haiku 4.5?

You can use Claude Haiku 4.5 for real-time AI chat, coding assistance, lightweight automation tasks that benefit from quick iterations, and even multi-agent orchestration.

Does Claude Haiku 4.5 support multi-modal inputs?

Yes. Claude Haiku 4.5 supports both text and image inputs, allowing workflows that combine textual prompts with visual information for tasks such as code-related diagrams, UI screenshots, or interpreted images.

What is the context window for Claude Haiku 4.5?

Claude Haiku 4.5 offers a large context window (around 200,000 tokens in public disclosures) to maintain coherence across long conversations, multi-step tasks, and extended interactions without excessive prompt re-engraving.