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Get started freeGPT-5.2 vs Claude 4 Sonnet
Compare GPT-5.2 and Claude 4 Sonnet. Build AI products powered by either model on Appaca.
Model Comparison
| Feature | GPT-5.2 | Claude 4 Sonnet |
|---|---|---|
| Provider | OpenAI | Anthropic |
| Model Type | text | text |
| Context Window | 400,000 tokens | 1,000,000 tokens |
| Input Cost | $1.75/ 1M tokens | $3.00/ 1M tokens |
| Output Cost | $14.00/ 1M tokens | $15.00/ 1M tokens |
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Strengths & Best Use Cases
GPT-5.2
OpenAI1. Advanced Reasoning for Diverse Domains
- Built to tackle coding and agentic workflows across multiple industries, with configurable reasoning support.
2. Multi-Modal & Long-Form Capabilities
- Handles both text and image inputs, producing text output.
- Allows up to 128 k output tokens for lengthy responses.
3. Large Context & Updated Knowledge
- 400 k token context window accommodates extensive codebases or documents.
- Knowledge cut-off of Aug 31 2025 keeps it current with recent developments.
Claude 4 Sonnet
Anthropic- Hybrid reasoning: supports both fast (“near-instant”) and extended thinking modes.
- Optimised for responsiveness, cost and high-volume production workloads.
- Strong coding performance relative to prior Sonnet versions (improved over Sonnet 3.7).
- Available even in free tiers (alongside paid plans).
- Better suited for general-purpose use and agents where speed + cost-efficiency matter.
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-5.2
textHomework Assignment Design
Design a meaningful homework assignment that extends classroom learning.
Customer Advisory Board (CAB) Program
Design a customer advisory board that gathers persona leader insights to refine marketing strategy, strengthen your USP, and address evolving challenges.
Technical Documentation
Write clear technical documentation for a feature, tool, or system.
Best for Claude 4 Sonnet
textFeedback Request Before Review
Email colleagues requesting candid feedback ahead of your performance review. Proactively gathers 360-degree input.
Error Handling Strategy
Define a consistent error handling strategy for a codebase.
Distraction Log Analysis
Analyse a distraction log to find patterns and suggest productivity improvements.