Compare GPT-4.1 Nano and Claude 4.5 Haiku. Find out which model is better for your specific use case and requirements.
| Feature | GPT-4.1 Nano | Claude 4.5 Haiku |
|---|---|---|
| Provider | OpenAI | Anthropic |
| Model Type | text | text |
| Context Window | 1,047,576 tokens | 200,000 tokens |
| Input Cost | $0.10/ 1M tokens | $1.00/ 1M tokens |
| Output Cost | $0.40/ 1M tokens | $5.00/ 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. Frontier-level coding at small-model speed
2. Excellent computer-use abilities
3. Perfect for real-time, low-latency applications
4. Works seamlessly with Sonnet 4.5 in hybrid agent setups
5. High alignment & safest Claude model by metric
Discover AI prompts that work great with these models. Use them to build powerful AI tools on Appaca.
Design an attribution model to measure how USP-focused campaigns influence persona engagement, conversion, and retention.
Analyze customer data patterns and convert insights into targeted messaging that emphasizes your USP and addresses persona challenges.
Develop a marketing automation workflow that delivers relevant content by persona challenge while reinforcing your USP throughout the journey.
Create a marketing skills matrix that identifies the competencies needed to communicate your USP and solve evolving persona challenges.
Develop a social listening strategy to monitor persona challenge conversations and surface opportunities to highlight your USP.
Craft a case study outline that proves your USP by showing how a customer like your persona overcame their challenges.
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