Claude Sonnet 4.5 vs GPT-5 Codex

Compare
Anthropic: Claude Sonnet 4.5
and
OpenAI: GPT-5 Codex
on reasoning, speed, cost, and features.
Models
COntext size
Cutoff date
I/O cost *
Max output
Latency
Speed
Anthropic: Claude Sonnet 4.5
200000
2025-07
₳18/₳90
64000
1800
N/A
OpenAI: GPT-5 Codex
400000
2024-10
₳7.5/₳60
N/A
N/A
N/A
*₳ = ₳nyTokens

Standard Benchmarks

Anthropic: Claude Sonnet 4.5
OpenAI: GPT-5 Codex
88.3
96.4
92
MMLU
GSM8K
HumanEval
Claude Sonnet 4.5 and GPT-5 Codex represent different approaches to AI assistance, each optimized for distinct use cases. Claude Sonnet 4.5 excels in general reasoning tasks, offering superior performance in complex analysis, creative writing, and nuanced conversation with a 200K token context window. Its safety-focused design makes it reliable for business applications requiring consistent, thoughtful responses. GPT-5 Codex, meanwhile, is specifically engineered for programming tasks, delivering exceptional code generation, debugging capabilities, and technical documentation. It supports over 100 programming languages with deep understanding of software development patterns. In terms of speed, Claude Sonnet 4.5 typically processes requests faster for general queries, while GPT-5 Codex may take longer but produces more accurate code solutions. Cost-wise, GPT-5 Codex offers competitive pricing for development workflows, though Claude Sonnet 4.5 provides better value for diverse business applications. Both models handle multimodal inputs effectively, but Claude Sonnet 4.5 shows stronger performance in image analysis and document processing. The choice between them largely depends on whether you prioritize general intelligence and reasoning (Claude) or specialized programming capabilities (GPT-5 Codex).
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Intelligence Score

Anthropic: Claude Sonnet 4.5
OpenAI: GPT-5 Codex
93
94

When to choose Anthropic: Claude Sonnet 4.5

Choose Claude Sonnet 4.5 for complex reasoning tasks, business analysis, creative writing, research assistance, and general conversational AI applications. Its strong safety features and nuanced understanding make it ideal for customer service, content creation, and strategic planning workflows.

When to choose OpenAI: GPT-5 Codex

Select GPT-5 Codex for software development projects, code generation, debugging, technical documentation, and programming education. Its deep understanding of coding patterns and multiple programming languages makes it perfect for development teams and technical workflows.

Speed & Latency

Real-world performance metrics measuring response time, throughput, and stability under load.

metric
Anthropic: Claude Sonnet 4.5
OpenAI: GPT-5 Codex
Average latency
1800
ms
N/A
ms
Tokens/Second
N/A
N/A
Response Stability
N/A
N/A
Verdict:
Claude Sonnet 4.5 delivers faster response times for general tasks

Cost Efficiency

Price per token for input and output, affecting total cost of ownership for different use cases.

Pricing
Anthropic: Claude Sonnet 4.5
OpenAI: GPT-5 Codex
Input ₳nyTokens
₳18
₳7.5
Output ₳nyTokens
₳90
₳60
Verdict:
GPT-5 Codex offers better value for specialized coding workflows

Integration & API Ecosystem

Developer tooling, SDK availability, and integration capabilities for production deployments.

Feature
Anthropic: Claude Sonnet 4.5
OpenAI: GPT-5 Codex
REST API
Official SDKs
Function Calling
Streaming Support
Multimodal Input
Open Weights
Verdict:
GPT-5 Codex offers better value for specialized coding workflows

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FAQs

Which model is more accurate overall?

Claude Sonnet 4.5 shows higher accuracy in general reasoning and analysis tasks, while GPT-5 Codex excels specifically in programming and technical accuracy. The better choice depends on your specific use case.

How do the costs compare?

GPT-5 Codex typically offers more competitive pricing for development-focused workflows, while Claude Sonnet 4.5 provides better value for general business applications requiring diverse AI capabilities.

Which model is faster?

Claude Sonnet 4.5 generally delivers faster response times for most general queries, while GPT-5 Codex may take longer but focuses on producing more accurate and complete code solutions.

Do both models support multimodal inputs?

Yes, both models support multimodal inputs including text and images. Claude Sonnet 4.5 shows particularly strong performance in document analysis and image understanding tasks.

Can I test both models in AnyAPI Playground?

Yes! Both models are available in the AnyApi Playground where you can run side-by-side comparisons with your own prompts.

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