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Claude 3 Haiku vs Claude Haiku 4.5

Compare Claude 3 Haiku and Claude Haiku 4.5 side-by-side. See how these vision models stack up in Open Prompt, OCR, Image Captioning, Object Detection, and Classification.

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AnthropicClaude 3 Haiku

Claude 3 Haiku is deprecated and can no longer be run. Details and evals are still available on its model page.

AnthropicClaude Haiku 4.5
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Claude 3 Haiku vs Claude Haiku 4.5: Overview

Claude 3 Haiku

Claude 3 Haiku is a large language model developed by Anthropic and released in March 2024 as part of the Claude 3 family, alongside Claude 3 Sonnet and Claude 3 Opus. It is designed to be the fastest and most cost-efficient model in the series, optimized for high-throughput applications.

Like the other Claude 3 models, Haiku is multimodal, able to process both text and image inputs while generating text outputs. It supports a context window of up to 200,000 tokens, with Anthropic noting that the Claude 3 models are technically capable of handling inputs exceeding one million tokens in special cases.

Haiku is positioned as a model well-suited for scenarios that demand speed and scalability at lower cost, such as customer support, summarization, and other tasks where rapid responses are prioritized. Compared to the larger Claude 3 Sonnet and Opus, Haiku provides lower latency and higher efficiency, while the larger models offer stronger reasoning and depth of analysis.

Claude Haiku 4.5

Claude Haiku 4.5 is Anthropic’s lightweight model in the Claude 4.5 series, released in October 2025 under a proprietary license. Designed for speed and cost efficiency, it delivers near-frontier performance while maintaining Anthropic’s AI Safety Level 2 standard. Haiku 4.5 supports both text and multimodal (text and image) inputs, integrates tool use and extended reasoning, and features a 200,000 token context window, making it adept at handling long or complex workflows. Though the parameter count remains undisclosed, it achieves about 73.3% on SWE-bench Verified, reflecting strong coding and reasoning ability. Haiku 4.5 is ideal for developers and researchers seeking rapid, cost-effective model calls for analysis, coding, or multimodal understanding.

Claude 3 Haiku vs Claude Haiku 4.5 Comparison Table

PropertyClaude 3 HaikuClaude Haiku 4.5
OrganizationAnthropicAnthropic
Categoryclosedclosed
Modalitymultimodalmultimodal
Release DateMar 2024Oct 2025
Context Window200K200K
Parameters
LicenseProprietaryProprietary
Pricing per 1M tokens
Input $/1M$1.00
Output $/1M$5.00
Vision Tasks
CaptioningDemo
ClassificationDemo
Object DetectionDemo
OCRDemo
Vision Language
Visual Question AnsweringDemo
Model Features
Foundation Vision
LLMs with Vision Capabilities
Multimodal Vision
Vision Evalspass/fail results · 67 prompts
Score key:≥75%40–74%<40%
Visual Understanding
Overall Score
58.21%
Avg Response Time3.15s
Median input tokensincl. image tokens2.2K
Median output tokens174
Est. cost / taskon this benchmark$0.0030
Defect Detection
80%(12/15)
Document Understanding
77.8%(7/9)
Object Counting
0%(0/10)
Object Understanding
71.4%(10/14)
Spatial Understanding
52.6%(10/19)
OCR
Overall Score
61.57%
Avg Response Time2.13s
Median input tokensincl. image tokens735
Median output tokens101
Est. cost / taskon this benchmark$0.0012
Focused Scene OCR
61.6%(61/99)
Handwritten Math
20%(2/10)
License Plate Recognition
66.7%(20/30)
Text Recognition
63.3%(19/30)
VQA & Extraction
65%(39/60)

Output tokens (incl. reasoning) and est. cost / task are measured on this benchmark from a single low-temperature run, and shown only for models whose run covered at least 90% of prompts. Methodology