Build AI products powered by GPT-5.1 or GPT-4 Turbo - no coding required
Start buildingGPT-5.1 vs GPT-4 Turbo
Compare GPT-5.1 and GPT-4 Turbo. Build AI products powered by either model on Appaca.
Get startedModel Comparison
| Feature | GPT-5.1 | GPT-4 Turbo |
|---|---|---|
| Provider | OpenAI | OpenAI |
| Model Type | text | text |
| Context Window | 400,000 tokens | 128,000 tokens |
| Input Cost | $1.25/ 1M tokens | $10.00/ 1M tokens |
| Output Cost | $10.00/ 1M tokens | $30.00/ 1M tokens |
Build with it | Build with GPT-5.1 | Build with GPT-4 Turbo |
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Power your AI product with GPT-5.1, GPT-4 Turbo, or any supported model. Switch anytime.
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Strengths & Best Use Cases
GPT-5.1
OpenAI1. Configurable Reasoning for Agentic Tasks
- Built to excel in autonomous or semi-autonomous coding workflows, with adjustable reasoning effort for planning, refactoring and debugging.
2. Fast Multi-Modal Input with Large Output
- Accepts both text and image inputs while producing text outputs.
- Offers up to 128 k output tokens, allowing long responses and code generation across multiple files.
3. Large Context & Knowledge Cut-Off
- 400 k token context window supports processing large codebases or documents.
- Knowledge cut-off of Sep 30 2024 ensures familiarity with recent tools and frameworks.
4. Reasoning Token Support
- Provides explicit support for reasoning tokens, enabling developers to fine-tune the balance between reasoning depth and speed.
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-5.1
textQuiz & Assessment Question Generator
Generate diverse quiz questions at various difficulty levels with answer keys and explanations.
Support Ticket Detective: Bucket Audience Problems
Turn support tickets, FAQs, and customer emails into thematic pain-point buckets with headline ideas for each.
Learning Objectives Generator
Create clear, measurable learning objectives aligned to standards using Blooms Taxonomy action verbs.
Best for GPT-4 Turbo
textCompetitor Analysis (Differentiation Opportunities)
Analyze competitors and identify differentiation opportunities that strengthen your USP for your persona’s challenges.
Conduct Legal Research & Analysis (Structured Memo)
Generate a structured legal research memo with governing law, key authorities, analysis, and a verification checklist.
Employee Advocacy Program (Social Sharing System)
Create an employee advocacy program that helps your team share USP-focused content and engage with persona conversations about challenges.
What AI product will you build?
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Turn your AI ideas into AI products with the right AI model
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Cheyanne Carter
Founder & CEO, Edubuddy
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Build AI products powered by GPT-5.1 or GPT-4 Turbo
Create AI tools and agents on Appaca. Choose your model, build your product, launch to customers.