Model Details
Where is GPT-4.1 Nano 2025-04-14 a perfect fit?
- Massive-scale chat or API workloads with strict cost limits
- Real-time applications requiring ultra-low latency responses
- Simple automation tasks and rule-based augmentations
- Classification, tagging, and lightweight text transformations
- Edge deployments or resource-constrained environments
- High-frequency micro-interactions in apps and systems
Quick Model Estimate
Your GPT-4.1 Nano 2025-04-14 Cost Estimate
๐ฐ Total Cost
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for 1000 input + 1000 output tokens
Cost Breakdown
Prices are watched for changes and checked against the provider's own page.
Pricing
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Service Tier
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Input Price
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Output Price
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Cached Input
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Other Price
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Context Size
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OpenAI | Text | Standard | $0.2000 | $0.8000 | $0.0500 | $1.5000 | 1,000,000 tokens | โ |
OpenAI | Text | Batch | $0.1000 | $0.4000 | $0.0250 | $1.5000 | 1,000,000 tokens | โ |
Other Models in the GPT-4.1 Family
FAQs about GPT-4.1 Nano 2025-04-14
How much does GPT-4.1 Nano 2025-04-14 cost per 1M tokens?
GPT-4.1 Nano 2025-04-14 costs between $0.10 and $0.20 per million input tokens, and between $0.40 and $0.80 per million output tokens. The range covers Standard and Batch pricing.
What does a typical workload cost with GPT-4.1 Nano 2025-04-14?
1,000 requests of 2,000 input and 500 output tokens each โ 2,000,000 input and 500,000 output tokens in total โ costs $0.40 with GPT-4.1 Nano 2025-04-14 at its lowest rates. Use the calculator on this page for your own volumes.
Where can I use GPT-4.1 Nano 2025-04-14?
GPT-4.1 Nano 2025-04-14 is available through OpenAI, from $0.10 per million input tokens.
Is there cheaper GPT-4.1 Nano 2025-04-14 pricing than the standard rate?
Yes. Batch pricing for GPT-4.1 Nano 2025-04-14 starts at $0.10 per million input tokens against $0.20 on the standard tier, about 50% lower.
What is GPT-4.1 Nano 2025-04-14's context window?
GPT-4.1 Nano 2025-04-14 has a context window of 1,000,000 tokens.
Is GPT-4.1 Nano 2025-04-14 still available?
GPT-4.1 Nano 2025-04-14 is a legacy model and is scheduled for retirement on 23 October 2026. The replacement is GPT-5.6 Luna.
