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Get started freeGPT-5.2 vs GPT-4 Turbo
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
textCode Review Checklist
Generate a code review checklist for a specific language or framework.
Fiction Character Profile
Develop a deep and compelling character profile for a fictional story.
SEO Blog Post Generator
Create high-ranking, engaging blog posts with proper SEO structure, keyword optimization, and readability.
Best for GPT-4 Turbo
textPrice Increase Announcement Email
Notify customers of an upcoming price increase with transparency and value reinforcement. Preserves trust and triggers pre-increase purchases.
Twitter Thread Personal Story
Write a personal story Twitter/X thread that builds engagement and shares a meaningful experience or lesson.
Store Moving or Rebranding Email
Announce a brand move, rename, or domain change to your customers. Prevents customer confusion and retains loyalty.