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Compare GPT-5.2 and GPT-4 Turbo. Build AI products powered by either model on Appaca.
Model Comparison
| Feature | GPT-5.2 | GPT-4 Turbo |
|---|---|---|
| Provider | OpenAI | OpenAI |
| Model Type | text | text |
| Context Window | 400,000 tokens | 128,000 tokens |
| Input Cost | $1.75/ 1M tokens | $10.00/ 1M tokens |
| Output Cost | $14.00/ 1M tokens | $30.00/ 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-4 Turbo
OpenAI1. Strong reasoning for its generation
- Next-gen version of GPT-4 designed to be cheaper and faster than the original.
- Good for analytical tasks, structured writing, coding guidance, and multi-step reasoning.
2. Image input support
- Accepts images and provides text-only outputs.
- Useful for OCR, visual Q&A, document extraction, UI analysis, and design interpretation.
3. Stable performance
- Predictable model behavior suitable for legacy systems still built on GPT-4.
- Works reliably for established pipelines and enterprise workloads.
4. Large 128K context window
- Handles long documents, multi-file inputs, or extended conversational sessions.
- Allows complex prompt chaining and large instruction sets.
5. Broad endpoint compatibility
- Works with Chat Completions, Responses API, Realtime API, Assistants, Batch, Fine-tuning, Embeddings, and more.
- Supports streaming and function calling.
6. Good choice for cost-controlled GPT-4-class workloads
- Although older, still useful for teams who want GPT-4-level reasoning without upgrading immediately.
- A midpoint between legacy GPT-4 and modern GPT-4o/5.1 models.
7. Text-only output simplifies downstream use
- Ensures deterministic outputs for applications that need reliable text generation.
- Good for RAG, data pipelines, automation tools, and enterprise systems.
8. Recommended migration path
- OpenAI now recommends using GPT-4o or GPT-5.1 for improved speed, cost, reasoning, and multimodal capability.
- GPT-4 Turbo remains available for backward compatibility and stability.
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
textReview Miner: Extract Recurring Pain Points
Analyze competitor reviews/testimonials to uncover recurring customer frustrations and turn them into content topics.
Code Review Assistant
Get constructive feedback on your code regarding performance, security, and readability.
Thought Leadership Interviews (Experts + Angles)
Plan a thought leadership interview series featuring experts discussing persona challenges and how your USP relates to solutions.
Best for GPT-4 Turbo
textDigital Marketing Plan (Channel + Funnel Blueprint)
Build a comprehensive digital marketing plan that targets a persona, addresses their challenges, and highlights your USP across channels and the funnel.
Conduct Legal Research & Analysis (Structured Memo)
Generate a structured legal research memo with governing law, key authorities, analysis, and a verification checklist.
SERP Feature Forecasting + Content Structure
Predict likely SERP features for a keyword and structure content to maximize visibility (snippets, PAA, etc.).
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