Build AI products powered by GPT-4o or Claude 3 Sonnet - no coding required
Start buildingGPT-4o vs Claude 3 Sonnet
Compare GPT-4o and Claude 3 Sonnet. Build AI products powered by either model on Appaca.
Get startedModel Comparison
| Feature | GPT-4o | Claude 3 Sonnet |
|---|---|---|
| Provider | OpenAI | Anthropic |
| Model Type | text | text |
| Context Window | 128,000 tokens | 200,000 tokens |
| Input Cost | $2.50/ 1M tokens | $3.00/ 1M tokens |
| Output Cost | $10.00/ 1M tokens | $15.00/ 1M tokens |
Build with it | Build with GPT-4o | Build with Claude 3 Sonnet |
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Strengths & Best Use Cases
GPT-4o
OpenAI1. High-intelligence, general-purpose model
- Strong reasoning, creativity, summarization, and problem-solving.
- Great balance of speed, accuracy, and cost.
2. Multimodal input support
- Accepts text + image inputs for visual reasoning, extraction, or description.
- Output is text only, making it predictable for production.
3. Excellent for structured and unstructured tasks
- Performs well on Q&A, writing, analysis, classification, chat, and planning.
- Supports Structured Outputs, making it suitable for deterministic workflows.
4. Strong tool-use capabilities
- Supports function calling, API orchestration, and tool-augmented workflows.
- Integrates well with assistants, batch operations, and automation pipelines.
5. Large context for complex tasks
- 128K context allows multi-document reasoning, multi-step conversations, and large input payloads.
6. Production-ready reliability
- Stable outputs, predictable behaviors, and broad modality coverage.
- Supported across all major API endpoints.
7. Lower latency than o-series reasoning models
- Faster responses due to no dedicated reasoning step.
- Ideal for interactive or near-real-time applications.
8. Fine-tuning and distillation supported
- Enables specialization for domain-specific tasks.
- Distillation helps create smaller, efficient custom models.
Claude 3 Sonnet
Anthropic1. Speed + Intelligence Blend
- 2x faster than Claude 2/2.1
- Strong reasoning with lower cost
2. Enterprise-Ready
- Designed for high-volume, large-scale deployments
- Excellent stability for production workloads
3. Versatile Task Performance
- Great for RAG, search, document understanding
- High-quality code generation
- Effective at sales automation and knowledge retrieval
4. Vision Capabilities
- Reads charts, graphs, images reliably
- Extracts text from visuals efficiently
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-4o
textCustomer Advisory Board (CAB) Program
Design a customer advisory board that gathers persona leader insights to refine marketing strategy, strengthen your USP, and address evolving challenges.
Co-Marketing Partnerships (Complementary Brands)
Develop a co-marketing partnership strategy with brands serving the same persona, amplifying reach while reinforcing your USP and persona challenges.
Marketing Automation Workflow (Journey + Personalization)
Develop a marketing automation workflow that delivers relevant content by persona challenge while reinforcing your USP throughout the journey.
Best for Claude 3 Sonnet
textMarketing Attribution Model (Measure What Works)
Design an attribution model to measure how USP-focused campaigns influence persona engagement, conversion, and retention.
Avatar Deep Dive: Persona Simulation for Pain Points
Simulate your ideal customer’s day to uncover hidden frustrations and turn them into a prioritized pain-point list for your content calendar.
Craft Catchy Sales Emails
Write high-converting sales emails with strong hooks, clear value, and a single focused CTA-optimized for your audience and offer.
What AI product will you build?
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Customer-facing Interface
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Multimodel LLMs
Create, manage, and deploy custom AI models for text, image, and audio - trained on your own knowledge base.
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Cheyanne Carter
Founder & CEO, Edubuddy
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Build AI products powered by GPT-4o or Claude 3 Sonnet
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