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Claude Haiku 4.5vsGPT-o3

Anthropic vs OpenAI — Side-by-side model comparison

Claude Haiku 4.5 leads 2/5 categories

Head-to-Head Comparison

MetricClaude Haiku 4.5GPT-o3
Provider
Arena Rank
#15
#2
Context Window
200K
200K
Input Pricing
$1.00/1M tokens
$2.00/1M tokens
Output Pricing
$5.00/1M tokens
$8.00/1M tokens
Parameters
Undisclosed
Undisclosed
Open Source
No
No
Best For
Fast responses, classification, extraction
Advanced reasoning, agentic tasks, research
Release Date
Oct 1, 2025
Apr 16, 2025

Claude Haiku 4.5

Claude Haiku 4.5 is Anthropic's fastest and most affordable model in the Claude family, designed for high-throughput applications where speed and cost-efficiency are paramount. Despite being the lightest model in the lineup, it delivers surprisingly strong performance on classification, extraction, summarization, and simple reasoning tasks. With a 200K context window and pricing at just $1.00 per million input tokens, it's ideal for processing large volumes of data quickly — from customer support triage to content moderation to data extraction. Haiku 4.5 responds in milliseconds, making it suitable for real-time applications where users expect instant responses. It's the go-to choice for builders who need Claude's safety and quality characteristics at scale.

View Anthropic profile →

GPT-o3

GPT-o3 is OpenAI's most advanced reasoning model, succeeding o1 as the frontier of deliberative AI. It uses an enhanced chain-of-thought approach where the model spends more compute time 'thinking' before responding, dramatically improving performance on complex STEM, mathematical, and logical reasoning tasks. With a 200K token context window and the ability to use tools during reasoning, o3 represents a significant leap in AI problem-solving capabilities. It achieved state-of-the-art results on the ARC-AGI benchmark, demonstrating near-human performance on novel reasoning challenges. The model is particularly strong at multi-step mathematical proofs, complex code debugging, and scientific analysis where careful step-by-step reasoning is essential. Originally priced at a premium, an 80% price reduction in June 2025 made o3 accessible to a much broader range of developers and applications.

View OpenAI profile →

Key Differences: Claude Haiku 4.5 vs GPT-o3

1

GPT-o3 ranks higher in arena benchmarks (#2) indicating stronger overall performance.

2

Claude Haiku 4.5 is 1.7x cheaper on average, making it the better choice for high-volume applications.

C

When to use Claude Haiku 4.5

  • +Budget is a concern and you need cost efficiency
  • +Your use case involves fast responses, classification, extraction
View full Claude Haiku 4.5 specs →
G

When to use GPT-o3

  • +You need the highest quality output based on arena rankings
  • +Quality matters more than cost
  • +Your use case involves advanced reasoning, agentic tasks, research
View full GPT-o3 specs →

Cost Analysis

At current pricing, Claude Haiku 4.5 is 1.7x more affordable than GPT-o3. For a typical enterprise workload processing 100M tokens per month:

Claude Haiku 4.5 monthly cost

$300

100M tokens/mo (50/50 in/out)

GPT-o3 monthly cost

$500

100M tokens/mo (50/50 in/out)

The Verdict

Claude Haiku 4.5 wins our head-to-head comparison with 2 out of 5 category wins. It's the stronger choice for fast responses, classification, extraction, though GPT-o3 holds an edge in advanced reasoning, agentic tasks, research.

Last compared: March 2026 · Data sourced from public benchmarks and official pricing pages

Frequently Asked Questions

Which is better, Claude Haiku 4.5 or GPT-o3?
In our head-to-head comparison, Claude Haiku 4.5 leads in 2 out of 5 categories (arena rank, context window, input pricing, output pricing, and parameters). Claude Haiku 4.5 excels at fast responses, classification, extraction, while GPT-o3 is better suited for advanced reasoning, agentic tasks, research. The best choice depends on your specific requirements, budget, and use case.
How does Claude Haiku 4.5 pricing compare to GPT-o3?
Claude Haiku 4.5 charges $1.00 per 1M input tokens and $5.00 per 1M output tokens. GPT-o3 charges $2.00 per 1M input tokens and $8.00 per 1M output tokens. Claude Haiku 4.5 is the more affordable option, approximately 1.7x cheaper on average. For high-volume production workloads, the pricing difference can significantly impact total cost of ownership.
What is the context window difference between Claude Haiku 4.5 and GPT-o3?
Claude Haiku 4.5 supports a 200K token context window, while GPT-o3 supports 200K tokens. Context window size matters most for tasks involving long documents, large codebases, or extended conversations.
Can I use Claude Haiku 4.5 or GPT-o3 for free?
Claude Haiku 4.5 is a paid API model starting at $1.00 per 1M input tokens. GPT-o3 is a paid API model starting at $2.00 per 1M input tokens.
Which model has better benchmarks, Claude Haiku 4.5 or GPT-o3?
Claude Haiku 4.5 holds arena rank #15, while GPT-o3 holds rank #2. GPT-o3 performs better in overall arena benchmarks, which aggregate human preference ratings across coding, reasoning, and general tasks. Note that benchmarks don't capture every use case — we recommend testing both models on your specific tasks.
Is Claude Haiku 4.5 or GPT-o3 better for coding?
Claude Haiku 4.5's primary strength is fast responses, classification, extraction. GPT-o3's primary strength is advanced reasoning, agentic tasks, research. For coding specifically, arena rank and code-specific benchmarks are the best indicators of performance.