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Get started freeGPT-5.4 vs GPT-5.2 Codex
Compare GPT-5.4 and GPT-5.2 Codex. Build AI products powered by either model on Appaca.
Model Comparison
| Feature | GPT-5.4 | GPT-5.2 Codex |
|---|---|---|
| Provider | OpenAI | OpenAI |
| Model Type | text | text |
| Context Window | 1,050,000 tokens | 400,000 tokens |
| Input Cost | $2.50/ 1M tokens | $1.75/ 1M tokens |
| Output Cost | $15.00/ 1M tokens | $14.00/ 1M tokens |
Stop choosing. Use both.
With Appaca you don't have to pick — build apps that are powered by GPT-5.4, GPT-5.2 Codex, for your specific use case.
Build your first app freeKelvin Htat
Business
Apps
New appStrengths & Best Use Cases
GPT-5.4
OpenAI1. Best Intelligence at Scale
- OpenAI positions GPT-5.4 as its frontier model for agentic, coding, and professional workflows.
- Built for complex professional work where stronger reasoning and higher answer quality matter.
2. Configurable Reasoning + Multimodal Input
- Supports configurable reasoning effort from none to xhigh, letting teams balance speed and depth.
- Accepts both text and image inputs while producing text output.
3. Massive Context for Long-Running Work
- 1.05M token context window supports very large codebases, documents, and multi-step workflows.
- Allows up to 128 k output tokens for long-form answers and larger generations.
4. Updated Knowledge & Broad Tool Support
- Knowledge cut-off of Aug 31 2025 keeps it current for newer frameworks and business context.
- Supports tools like web search, file search, code interpreter, hosted shell, computer use, and MCP in the Responses API.
GPT-5.2 Codex
OpenAI1. Optimized for Long-Horizon Coding Tasks
- OpenAI describes GPT-5.2 Codex as a highly intelligent coding model built for long-horizon, agentic coding work.
- Well suited to planning, refactoring, debugging, and multi-step implementation flows inside real codebases.
2. Adjustable Reasoning for Coding Work
- Supports configurable reasoning effort from low to xhigh depending on speed and quality needs.
- Accepts both text and image inputs while producing text output.
3. Large Context + Long Output
- 400 k token context window supports broad repository understanding and larger working sets.
- Allows up to 128 k output tokens for longer patches, code generation, and technical explanations.
4. Up-to-Date Model Snapshot
- Knowledge cut-off of Aug 31 2025 keeps it current with newer tools and frameworks.
- Supports streaming, function calling, and structured outputs for tool-driven 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-5.4
textPerformance Review Template
Write a structured performance review for an employee covering achievements and growth.
Customer Onboarding Program (Activation + Value)
Create a customer onboarding program that reinforces your USP and sets your persona up for success overcoming their challenges.
Brand Voice Guidelines
Define a brand's tone of voice with examples and usage rules.
Best for GPT-5.2 Codex
textTechnical Specification
Write a detailed technical specification for a feature before implementation.
SMART Goal Refinement
Refine a vague goal into a specific, measurable, achievable SMART goal.
Definition of Done
Write a team's Definition of Done for sprint work and releases.