OpenAI offers several models tailored to different performance and cost needs. Here's a comparison of GPT-4.1 mini, GPT-4.1 nano, and GPT-4o mini:
💰 Pricing Comparison (per 1 million tokens)
| Model | Input Cost | Output Cost | Context Window | Notes |
|---|---|---|---|---|
| GPT-4.1 | $2.00 | $8.00 | 1 million | Full-featured, high-accuracy model |
| GPT-4.1 mini | $0.40 | $1.60 | 1 million | Balanced performance and cost |
| GPT-4.1 nano | $0.10 | $0.40 | 1 million | Fastest and most affordable, lower accuracy |
| GPT-4o mini | $0.15 | $0.60 | 128,000 | Multimodal (text & vision), efficient |
⚙️ Key Differences
- GPT-4.1 mini: Offers a balance between performance and cost, suitable for tasks requiring good accuracy without the higher costs of the full GPT-4.1.
- GPT-4.1 nano: Designed for speed and affordability, making it ideal for applications where cost is a primary concern, though it may sacrifice some accuracy.
- GPT-4o mini: A multimodal model capable of processing both text and images, offering efficient performance for applications needing such capabilities.
✅ Summary
- Best for High Accuracy: GPT-4.1 (if budget allows)
- Best Value: GPT-4.1 mini
- Most Affordable: GPT-4.1 nano
- Best for Multimodal Tasks: GPT-4o mini
