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GPT-o3vsClaude Sonnet 4

OpenAI vs Anthropic — Side-by-side model comparison

GPT-o3 leads 3/5 categories

Head-to-Head Comparison

MetricGPT-o3Claude Sonnet 4
Provider
Arena Rank
#2
#3
Context Window
200K
200K
Input Pricing
$2.00/1M tokens
$3.00/1M tokens
Output Pricing
$8.00/1M tokens
$15.00/1M tokens
Parameters
Undisclosed
Undisclosed
Open Source
No
No
Best For
Advanced reasoning, agentic tasks, research
Coding, writing, long documents
Release Date
Apr 16, 2025
May 22, 2025

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 →

Claude Sonnet 4

Claude Sonnet 4 is Anthropic's balanced mid-tier model, offering an excellent combination of intelligence, speed, and cost-effectiveness. It ranks among the top 5 models globally on arena benchmarks while being significantly more affordable than Opus 4. With a 200K token context window, Sonnet 4 handles long documents and complex codebases with ease. The model excels at coding tasks (strong SWE-bench performance), long-form writing, document analysis, and structured data extraction. Its extended thinking capabilities allow it to tackle complex problems while maintaining fast response times for everyday tasks. Sonnet 4 is the most popular Claude model for production applications, offering the best price-to-performance ratio in Anthropic's lineup. It supports tool use, vision capabilities, and works seamlessly in agentic workflows.

View Anthropic profile →

Key Differences: GPT-o3 vs Claude Sonnet 4

1

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

2

GPT-o3 is 1.8x cheaper on average, making it the better choice for high-volume applications.

G

When to use GPT-o3

  • +You need the highest quality output based on arena rankings
  • +Budget is a concern and you need cost efficiency
  • +Your use case involves advanced reasoning, agentic tasks, research
View full GPT-o3 specs →
C

When to use Claude Sonnet 4

  • +Quality matters more than cost
  • +Your use case involves coding, writing, long documents
View full Claude Sonnet 4 specs →

Cost Analysis

At current pricing, GPT-o3 is 1.8x more affordable than Claude Sonnet 4. For a typical enterprise workload processing 100M tokens per month:

GPT-o3 monthly cost

$500

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

Claude Sonnet 4 monthly cost

$900

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

The Verdict

GPT-o3 wins our head-to-head comparison with 3 out of 5 category wins. It's the stronger choice for advanced reasoning, agentic tasks, research, though Claude Sonnet 4 holds an edge in coding, writing, long documents.

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

Frequently Asked Questions

Which is better, GPT-o3 or Claude Sonnet 4?
In our head-to-head comparison, GPT-o3 leads in 3 out of 5 categories (arena rank, context window, input pricing, output pricing, and parameters). GPT-o3 excels at advanced reasoning, agentic tasks, research, while Claude Sonnet 4 is better suited for coding, writing, long documents. The best choice depends on your specific requirements, budget, and use case.
How does GPT-o3 pricing compare to Claude Sonnet 4?
GPT-o3 charges $2.00 per 1M input tokens and $8.00 per 1M output tokens. Claude Sonnet 4 charges $3.00 per 1M input tokens and $15.00 per 1M output tokens. GPT-o3 is the more affordable option, approximately 1.8x 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 GPT-o3 and Claude Sonnet 4?
GPT-o3 supports a 200K token context window, while Claude Sonnet 4 supports 200K tokens. Context window size matters most for tasks involving long documents, large codebases, or extended conversations.
Can I use GPT-o3 or Claude Sonnet 4 for free?
GPT-o3 is a paid API model starting at $2.00 per 1M input tokens. Claude Sonnet 4 is a paid API model starting at $3.00 per 1M input tokens.
Which model has better benchmarks, GPT-o3 or Claude Sonnet 4?
GPT-o3 holds arena rank #2, while Claude Sonnet 4 holds rank #3. 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 GPT-o3 or Claude Sonnet 4 better for coding?
GPT-o3's primary strength is advanced reasoning, agentic tasks, research. Claude Sonnet 4 is specifically optimized for coding tasks. For coding specifically, arena rank and code-specific benchmarks are the best indicators of performance.