Compare Sora 2 and GPT-4.1 Nano. Find out which model is better for your specific use case and requirements.
| Feature | Sora 2 | GPT-4.1 Nano |
|---|---|---|
| Provider | OpenAI | OpenAI |
| Model Type | video | text |
| Context Window | 400,000 tokens | 1,047,576 tokens |
| Input Cost | N/A | $0.10/ 1M tokens |
| Output Cost | N/A | $0.40/ 1M tokens |
1. Advanced Video Generation Capability
2. Synced Audio Generation
3. Multi-Modal Input, Multi-Media Output
4. Resolution-Optimized Performance
5. Powerful Media Understanding
6. Integrated Across Major API Endpoints
7. Consistent Model Behavior via Snapshots
8. Ideal Use Cases
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 lead scoring model that prioritizes prospects based on engagement with USP messaging and signals of persona challenge severity.
Build a content repurposing system that extends your best messaging across channels while keeping the USP and persona challenges consistent.
Generate high-converting email subject lines that boost open rates using proven psychological triggers and A/B testing frameworks.
Analyze financial statements to understand company health, trends, and investment potential.
Identify bugs in your code, understand why they happen, and get a corrected version.
Get constructive feedback on your code regarding performance, security, and readability.
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