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Get started freeGPT-5.2 vs GPT-5.3 Codex
Compare GPT-5.2 and GPT-5.3 Codex. Build AI products powered by either model on Appaca.
Model Comparison
| Feature | GPT-5.2 | GPT-5.3 Codex |
|---|---|---|
| Provider | OpenAI | OpenAI |
| Model Type | text | text |
| Context Window | 400,000 tokens | 400,000 tokens |
| Input Cost | $1.75/ 1M tokens | $1.75/ 1M tokens |
| Output Cost | $14.00/ 1M tokens | $14.00/ 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.
GPT-5.3 Codex
OpenAI1. Strongest Codex Model for Agentic Engineering
- OpenAI positions GPT-5.3 Codex as its most capable agentic coding model to date.
- Built for long-horizon software engineering tasks that require planning, iteration, and reliable code transformation across files.
2. Configurable Reasoning + Multimodal Input
- Supports configurable reasoning effort from low to xhigh so teams can trade off depth against latency.
- Accepts both text and image inputs while producing text output.
3. Large Context for Real Codebases
- 400 k token context window helps it work across larger repositories, implementation plans, and supporting documentation.
- Allows up to 128 k output tokens for longer code generations, patches, and technical write-ups.
4. Current Knowledge for Modern Dev Workflows
- Knowledge cut-off of Aug 31 2025 keeps it aligned with newer frameworks, libraries, and tooling.
- Supports streaming, function calling, and structured outputs for agent-style coding workflows.
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
textCustomer Success Stories Series (Proof Library)
Create a series of customer success stories that prove your USP and show persona outcomes across common challenges.
Customer Loyalty Program (Rewards + Advocacy)
Create a loyalty program that rewards continued engagement and advocacy, reinforcing how your USP supports ongoing persona challenges.
Marketing Budget & Resource Allocation Plan
Allocate marketing budget and resources across the highest-impact initiatives to communicate your USP and address persona challenges.
Best for GPT-5.3 Codex
textCold Outreach Email Generator
Generate high-converting cold emails for sales, networking, or partnerships.
Meeting Notes Summarizer
Transform raw meeting transcripts or messy notes into clear, structured summaries with action items.
Code Review Assistant
Get constructive feedback on your code regarding performance, security, and readability.
Build Apps Powered by AI
Use Appaca to create ready-to-use apps for work or everyday life. No coding needed.
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Plan monthly budgets, categories, and financial goals.
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