Compare GPT-4.1 Nano and Claude 4.5 Sonnet. Find out which model is better for your specific use case and requirements.
| Feature | GPT-4.1 Nano | Claude 4.5 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
1. Best-in-class coding performance
2. State-of-the-art computer use & agents
3. Advanced reasoning & math
4. High alignment & safety
5. Domain-expert performance
Discover AI prompts that work great with these models. Use them to build powerful AI tools on Appaca.
Identify bugs in your code, understand why they happen, and get a corrected version.
Generate quick formative assessments that gauge student understanding and inform next-day instruction.
Optimize your credit card strategy with this AI prompt, designed to minimize interest, maximize rewards, and eliminate hidden fees.
Generate unique short stories with compelling plots, diverse characters, and immersive settings.
Get constructive feedback on your code regarding performance, security, and readability.
Generate efficient, documented, and bug-free code snippets in any programming language.
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