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Get started freeGPT-4.1 vs GPT-4 Turbo
Compare GPT-4.1 and GPT-4 Turbo. Build AI products powered by either model on Appaca.
Model Comparison
| Feature | GPT-4.1 | GPT-4 Turbo |
|---|---|---|
| Provider | OpenAI | OpenAI |
| Model Type | text | text |
| Context Window | 1,047,576 tokens | 128,000 tokens |
| Input Cost | $2.00/ 1M tokens | $10.00/ 1M tokens |
| Output Cost | $8.00/ 1M tokens | $30.00/ 1M tokens |
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Build your first app freeStrengths & Best Use Cases
GPT-4.1
OpenAI1. Smartest non-reasoning model
- Highest intelligence among models without a reasoning step.
- Great for tasks where speed + accuracy matter without deep chain-of-thought.
2. Excellent instruction following
- Very strong at structured tasks, formatting, and precise execution.
- Ideal for productized workflows and deterministic outputs.
3. Reliable tool calling
- Works smoothly with Web Search, File Search, Image Generation, and Code Interpreter.
- Supports MCP and advanced tool-enabled API flows.
4. Large 1M-token context window
- Allows extremely long conversations, large documents, and multi-file use cases.
- Handles context-heavy tasks without requiring chunking.
5. Low latency (no reasoning step)
- Faster responses than GPT-5 family when reasoning mode isn't required.
- More predictable timing for production use.
6. Multimodal input
- Accepts text + image.
- Output is text only.
7. Supports fine-tuning
- Can be fine-tuned for specialized tasks.
- Also supports distillation for smaller custom models.
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-4.1
textAnniversary Love Letter
Write a heartfelt anniversary love letter that celebrates your relationship's unique journey. Deeply personal and memorable.
Website SEO Plan (Persona Problem Keywords)
Optimize your website SEO by targeting persona problem keywords and showcasing your USP through high-intent content.
Differentiated Instruction Plan
Adapt a lesson to meet the needs of diverse learners in the same classroom.
Best for GPT-4 Turbo
textWebsite Disclaimer
Write a website disclaimer to limit liability for content on a site.
SERP Feature Forecasting + Content Structure
Predict likely SERP features for a keyword and structure content to maximize visibility (snippets, PAA, etc.).
Marketing Performance Dashboard (KPIs + Definitions)
Design a marketing performance dashboard that tracks persona engagement, USP resonance, and the impact on solving key challenges.