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Claude Haiku 4.5 vs GPT-5 Mini

Compare Claude Haiku 4.5 and GPT-5 Mini side-by-side. See how these vision models stack up in Image Captioning, Open Prompt, OCR, Classification, and Object Detection.

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AnthropicClaude Haiku 4.5
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OpenAIGPT-5 Mini
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Claude Haiku 4.5 vs GPT-5 Mini: Overview

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.

GPT-5 Mini

GPT-5 Mini, released by OpenAI on August 7, 2025, is a mid-tier variant of the GPT-5 family that balances cost, speed, and capability. It is multimodal, supporting both text and image inputs, and offers a substantial input context window of ~400,000 tokens with output lengths up to ~128,000 tokens. While less powerful than the full GPT-5, it inherits its safety tuning, instruction-following improvements, and multimodal reasoning, making it a practical choice for developers who need large context handling without the expense of premium models.

GPT-5 Mini is optimized for affordability while retaining strong reasoning performance. Benchmarks show it outperforming earlier models such as GPT-4o on many multimodal and medical VQA tasks, though it lags behind GPT-5 on the most complex problems. Ideal use cases include prototyping, scalable content generation, document analysis, and mid-range reasoning tasks where efficiency and context capacity matter more than top-tier accuracy.

Claude Haiku 4.5 vs GPT-5 Mini Comparison Table

PropertyClaude Haiku 4.5GPT-5 Mini
OrganizationAnthropicOpenAI
Categoryclosedclosed
Modalitymultimodalmultimodal
Release DateOct 2025Aug 2025
Context Window200K400K
Parameters
LicenseProprietaryProprietary
Pricing per 1M tokens
Input $/1M$1.00$0.250
Output $/1M$5.00$2.00
Vision Tasks
CaptioningDemoDemo
ClassificationDemoDemo
Object DetectionDemoDemo
OCRDemoDemo
Vision Language
Visual Question AnsweringDemoDemo
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%
73.13%
Avg Response Time3.15s11.72s
Median input tokensincl. image tokens2.2K1.4K
Median output tokens174143
Est. cost / taskon this benchmark$0.0030$0.0006
Defect Detection
80%(12/15)
80%(12/15)
Document Understanding
77.8%(7/9)
77.8%(7/9)
Object Counting
0%(0/10)
10%(1/10)
Object Understanding
71.4%(10/14)
85.7%(12/14)
Spatial Understanding
52.6%(10/19)
89.5%(17/19)
OCR
Overall Score
61.57%
76.86%
Avg Response Time2.13s4.63s
Median input tokensincl. image tokens735105
Median output tokens101209
Est. cost / taskon this benchmark$0.0012$0.0004
Focused Scene OCR
61.6%(61/99)
72.7%(72/99)
Handwritten Math
20%(2/10)
50%(5/10)
License Plate Recognition
66.7%(20/30)
93.3%(28/30)
Text Recognition
63.3%(19/30)
80%(24/30)
VQA & Extraction
65%(39/60)
78.3%(47/60)

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