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.
Create a training program for the sales team to communicate your USP and address persona challenges with consistent messaging and proof.
Draft a professional, data-backed email to negotiate corporate hotel rates and value-add perks.
Build a content repurposing system that extends your best messaging across channels while keeping the USP and persona challenges consistent.
Design an attribution model to measure how USP-focused campaigns influence persona engagement, conversion, and retention.
Generate efficient, documented, and bug-free code snippets in any programming language.
Generate professional, empathetic responses to customer complaints that de-escalate situations and rebuild trust.
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