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Get started freeGPT-5 Codex vs Claude 4.5 Sonnet
Compare GPT-5 Codex and Claude 4.5 Sonnet. Build AI products powered by either model on Appaca.
Model Comparison
| Feature | GPT-5 Codex | Claude 4.5 Sonnet |
|---|---|---|
| Provider | OpenAI | Anthropic |
| Model Type | text | text |
| Context Window | 400,000 tokens | 1,000,000 tokens |
| Input Cost | $1.25/ 1M tokens | $3.00/ 1M tokens |
| Output Cost | $10.00/ 1M tokens | $15.00/ 1M tokens |
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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 4.5 Sonnet
Anthropic1. Best-in-class coding performance
- #1 on SWE-bench Verified (77.2% standard, 82.0% high-compute).
- Excels at debugging, architecture, and multi-file code generation.
- Maintains coherence for extremely long tasks (30+ hours).
2. State-of-the-art computer use & agents
- Leads OSWorld at 61.4%.
- Strongest model for agentic workflows, multi-step tool use, and real computer control.
- Powering Claude Code, the new Claude Agent SDK, and Chrome agent actions.
3. Advanced reasoning & math
- Large improvements across reasoning-heavy benchmarks (AIME, MMMLU, τ2-bench, Terminal-Bench).
- Deep multi-step reasoning with extended or interleaved thinking.
4. High alignment & safety
- Most aligned Claude model to date with reduced deception, hallucinations, sycophancy, and harmful compliance.
- Strong protections against prompt injection for agentic tasks (ASL-3 safeguards).
5. Domain-expert performance
- Notable gains in finance, law, medicine, and STEM tasks.
- Trusted by early customers for long-context legal analysis, multi-file engineering, security research, and red-teaming.
Prompts to Get Started
Use these prompts to power AI products you build on Appaca. Each works great with the models above.
Best for GPT-5 Codex
textDevelop a Legal Strategy (Risks, Benefits, Alternatives)
Evaluate a proposed legal strategy with risks, benefits, alternatives, and a decision framework.
Optimize Credit Card Usage
Optimize your credit card strategy with this AI prompt, designed to minimize interest, maximize rewards, and eliminate hidden fees.
Customer Onboarding Program (Activation + Value)
Create a customer onboarding program that reinforces your USP and sets your persona up for success overcoming their challenges.
Best for Claude 4.5 Sonnet
textFinancial Statement Analysis
Analyze financial statements to understand company health, trends, and investment potential.
Differentiated Instruction Planner
Create tiered assignments and scaffolded activities that meet diverse learner needs while maintaining rigorous standards.
Support Ticket Detective: Bucket Audience Problems
Turn support tickets, FAQs, and customer emails into thematic pain-point buckets with headline ideas for each.
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