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Get started freeGPT-5.2 vs GPT-5.1 Codex
Compare GPT-5.2 and GPT-5.1 Codex. Build AI products powered by either model on Appaca.
Model Comparison
| Feature | GPT-5.2 | GPT-5.1 Codex |
|---|---|---|
| Provider | OpenAI | OpenAI |
| Model Type | text | text |
| Context Window | 400,000 tokens | 400,000 tokens |
| Input Cost | $1.75/ 1M tokens | $1.25/ 1M tokens |
| Output Cost | $14.00/ 1M tokens | $10.00/ 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-5.1 Codex
OpenAI1. Purpose-Built for Agentic Coding
- Designed specifically for environments where the model acts as an autonomous or semi-autonomous coding agent.
- Optimized for multi-step reasoning in code tasks such as planning, refactoring, debugging, file generation, and tool coordination.
2. Enhanced Coding Intelligence
- Extends GPT-5.1's advanced reasoning capabilities to handle complex software architecture decisions.
- Better accuracy in code generation across languages (JavaScript, Python, TypeScript, Go, Rust, etc.).
- Produces cleaner, more idiomatic code aligned with modern frameworks and best practices.
3. Superior Tool Use & Code Navigation
- Excels at reading, understanding, and transforming multi-file codebases.
- Works well with Codex workflows that simulate real developer tooling.
- Strong at following function signatures, constraints, and code patterns within an existing project.
4. Long-Range Context Awareness
- 400,000-token context window enables the model to ingest large repositories or multiple files simultaneously.
- Supports deep analysis of project structures, dependencies, and cross-file logic.
5. Multi-Modal Development Capabilities
- Accepts text + image input and output - suitable for tasks like:
- Reading UI mockups or screenshots to generate code
- Understanding architectural diagrams
- Reviewing images of whiteboard sessions
6. Agentic Workflow Optimization
- Built to manage longer chains of thought and execution typically required in:
- Automated code repair
- Project bootstrapping
- Linting and migration tasks
- Long-running coding agents using planning + execution loops
7. Continually Updated Model Snapshot
- Codex-specific version receives regular upgrades behind the scenes.
- Ensures the latest coding improvements without requiring developers to update model names.
8. Reliable Instruction Following
- Highly consistent in honoring explicit constraints:
- Code styles
- Folder structures
- API contracts
- Framework conventions
9. Broad API Support
- Works across Chat Completions, Responses API, Realtime, Assistants, and more.
- Ideal for apps that need live, reasoning-heavy coding agents or generative dev environments.
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
textEmail Subject Line Generator
Generate high-converting email subject lines that boost open rates using proven psychological triggers and A/B testing frameworks.
Competitor Analysis (Differentiation Opportunities)
Analyze competitors and identify differentiation opportunities that strengthen your USP for your persona’s challenges.
Referral Program (Incentives + Mechanics)
Create a referral marketing program that incentivizes your persona to share your USP with peers facing similar challenges.
Best for GPT-5.1 Codex
textMeeting Notes Summarizer
Transform raw meeting transcripts or messy notes into clear, structured summaries with action items.
Cold Outreach Email Generator
Generate high-converting cold emails for sales, networking, or partnerships.
Bug Fixer & Debugger
Identify bugs in your code, understand why they happen, and get a corrected version.
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