Compare GPT-4.1 Nano and Claude 4 Sonnet. Find out which model is better for your specific use case and requirements.
| Feature | GPT-4.1 Nano | Claude 4 Sonnet |
|---|---|---|
| Provider | OpenAI | Anthropic |
| Model Type | text | text |
| Context Window | 1,047,576 tokens | 1,000,000 tokens |
| Input Cost | $0.10/ 1M tokens | $3.00/ 1M tokens |
| Output Cost | $0.40/ 1M tokens | $15.00/ 1M tokens |
1. Ultra-Fast, Low-Latency Performance
2. Most Cost-Efficient GPT-4.1 Variant
3. Solid Instruction Following
4. Strong Tool Calling Capabilities
5. Basic Multimodal Input
6. Text-Only Output
7. 1M-Token Context Window
8. Ideal Use Cases
9. Broad API Integration
Discover AI prompts that work great with these models. Use them to build powerful AI tools on Appaca.
Design a website chatbot that qualifies visitors, addresses persona challenges, and routes them to USP-focused content and next steps.
Create a marketing experimentation framework to test and optimize persona-targeted messaging and offers that highlight your USP and address challenges.
Evaluate and improve a cold sales email using a weighted scorecard (clarity, relevance, proof, CTA, deliverability) with specific rewrite suggestions.
Generate quick formative assessments that gauge student understanding and inform next-day instruction.
Brainstorm unique, buyer-friendly land use ideas based on zoning, topography, and nearby attractions to boost perceived value.
Create a precedent map for an area of law with key cases, rules/tests, and the risks of misreading precedent.
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