GPT-4 Turbo vs Claude 3 Haiku
Compare GPT-4 Turbo and Claude 3 Haiku. Find out which model is better for your specific use case and requirements.
Model Comparison
| Feature | GPT-4 Turbo | Claude 3 Haiku |
|---|---|---|
| Provider | OpenAI | Anthropic |
| Model Type | text | text |
| Context Window | 128,000 tokens | 200,000 tokens |
| Input Cost | $10.00/ 1M tokens | $0.25/ 1M tokens |
| Output Cost | $30.00/ 1M tokens | $1.25/ 1M tokens |
Strengths & Best Use Cases
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.
Claude 3 Haiku
Anthropic1. Speed
- Fastest model in the Claude 3 family
- Near-instant responses for chat, support, and live tools
2. Efficiency
- Most affordable model
- Ideal for massive-scale applications and low-latency use cases
3. Practical Use Cases
- Customer support
- Translations
- Moderation
- Logistics, inventory systems
- Extracting insights from unstructured data
4. Vision Skills
- Handles charts, images, and diagrams quickly
- Useful for scanning large volumes of visual data
Try These Prompts
Discover AI prompts that work great with these models. Use them to build powerful AI tools on Appaca.
Best for GPT-4 Turbo
textCraft Catchy Sales Emails
Write high-converting sales emails with strong hooks, clear value, and a single focused CTA—optimized for your audience and offer.
Customer Loyalty Program (Rewards + Advocacy)
Create a loyalty program that rewards continued engagement and advocacy, reinforcing how your USP supports ongoing persona challenges.
Lead Scoring System (USP Engagement + Pain Signals)
Design a lead scoring model that prioritizes prospects based on engagement with USP messaging and signals of persona challenge severity.
Best for Claude 3 Haiku
textLead Generation Strategy (USP-to-Offer Engine)
Build a lead generation strategy that turns your USP into compelling offers and acquisition channels tailored to persona challenges.
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.
Video Marketing Strategy (Storytelling + Proof)
Build a video marketing strategy that uses storytelling to show how your USP transforms persona challenges into outcomes.
Use Appaca to make AI tools powered by GPT-4 Turbo or Claude 3 Haiku
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