GPT-5 Codex vs Claude 3 Sonnet
Compare GPT-5 Codex and Claude 3 Sonnet. Find out which model is better for your specific use case and requirements.
Model Comparison
| Feature | GPT-5 Codex | Claude 3 Sonnet |
|---|---|---|
| Provider | OpenAI | Anthropic |
| Model Type | text | text |
| Context Window | 400,000 tokens | 200,000 tokens |
| Input Cost | $1.25/ 1M tokens | $3.00/ 1M tokens |
| Output Cost | $10.00/ 1M tokens | $15.00/ 1M tokens |
Strengths & Best Use Cases
GPT-5 Codex
OpenAI1. Purpose-Built for Agentic Coding
- Optimized specifically for scenarios where the model must act as an autonomous or semi-autonomous coding agent.
- Tailored for Codex workflows such as planning, editing, debugging, and multi-step tool-driven code tasks.
2. Advanced Coding Reasoning
- Extends GPT-5's higher reasoning mode to better handle complex software logic and multi-file dependencies.
- Produces more accurate, structured, and maintainable code across modern programming languages.
3. Strong Tool Use in Developer-Like Environments
- Designed for Codex's agent environment, enabling the model to:
- Read and modify files
- Follow function signatures and API contracts
- Navigate codebases with awareness of context and structure
4. Large Context Window for Full-Project Understanding
- 400,000-token context allows ingestion of:
- Entire repositories
- Multiple files at once
- Architectural descriptions
- Enables long-range reasoning across codebases rather than isolated snippets.
5. Multimodal Capability for Development Tasks
- Accepts text and image as input (great for screenshots of error logs, UI mocks, whiteboards).
- Outputs text only, focusing its output precision on code, reasoning, and documentation.
6. Continuous Snapshot Updates
- The underlying model version is regularly upgraded behind the scenes.
- Ensures developers always use the best coding-enhanced GPT-5 variant without changing model names.
7. Reliable Instruction Following
- Very strong adherence to constraints like:
- File/folder structure requirements
- Framework conventions
- Naming patterns
- Linting rules
- Makes it suitable for production coding agents.
8. Broad API Integration
- Available only in the Responses API, giving you:
- Streaming
- Structured outputs
- Function calling
- Allows creation of interactive coding tools and agent workflows with tight model control.
Claude 3 Sonnet
Anthropic1. Speed + Intelligence Blend
- 2x faster than Claude 2/2.1
- Strong reasoning with lower cost
2. Enterprise-Ready
- Designed for high-volume, large-scale deployments
- Excellent stability for production workloads
3. Versatile Task Performance
- Great for RAG, search, document understanding
- High-quality code generation
- Effective at sales automation and knowledge retrieval
4. Vision Capabilities
- Reads charts, graphs, images reliably
- Extracts text from visuals efficiently
Try These Prompts
Discover AI prompts that work great with these models. Use them to build powerful AI tools on Appaca.
Best for GPT-5 Codex
textUncover Precedents (Case Map + Misinterpretation Risks)
Create a precedent map for an area of law with key cases, rules/tests, and the risks of misreading precedent.
Customer Advocacy Program (Activate Champions)
Create a customer advocacy program that turns satisfied customers into credible proof of your USP and a source of persona-aligned leads.
Educational Webinars (Deep-Dive Curriculum)
Create educational webinar topics and formats that teach persona-relevant skills and connect your USP to solving key challenges.
Best for Claude 3 Sonnet
textSocial Listening Strategy (Signals + Opportunities)
Develop a social listening strategy to monitor persona challenge conversations and surface opportunities to highlight your USP.
Avatar Deep Dive: Persona Simulation for Pain Points
Simulate your ideal customer’s day to uncover hidden frustrations and turn them into a prioritized pain-point list for your content calendar.
Thought Leadership Series (Challenges → Framework)
Develop a thought leadership series that addresses persona challenges and showcases your expertise and USP.
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