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Frequently Asked Questions
1. What are the new GPT-5 models?
GPT-5 is the latest generation with three variants: GPT-5 ($1.25/1M input, $10.00/1M output), GPT-5 Mini ($0.25/1M input, $2.00/1M output), and GPT-5 Nano ($0.05/1M input, $0.40/1M output) in standard tier. Priority tier offers faster processing at 2x the cost.
2. What are the different pricing tiers?
Batch: Lowest cost for non-urgent tasks.
Flex: Balanced pricing with moderate latency.
Standard: Regular pricing for real-time use.
Priority: Premium pricing for fastest processing.
3. What's the o3-pro model?
o3-pro is a premium reasoning model priced at $20.00/1M input and $80.00/1M output (standard tier). It offers advanced capabilities for complex reasoning tasks. The batch tier reduces costs to $10.00/1M input and $40.00/1M output.
4. How does o4-mini fine-tuning work?
o4-mini fine-tuning charges $100.00 per hour for training, then $4.00/1M input and $16.00/1M output for usage. With data sharing enabled, usage costs drop to $2.00/1M input and $8.00/1M output.
5. What's GPT Image 1?
GPT Image 1 is a new image generation model with three quality tiers: Low ($0.011-$0.016), Medium ($0.042-$0.063), and High ($0.167-$0.25) per image, depending on size.
6. What's cached input pricing?
Cached input pricing offers significant discounts when reusing previously processed content. For example, GPT-4.1 drops from $2.00 to $0.50 per 1M tokens (75% discount) for cached inputs.
7. Which models support web search?
Web search costs $25.00/1k calls for GPT-4o and GPT-4.1 models (search content tokens included), or $10.00/1k calls for GPT-5 and o-series models (search content tokens billed separately).
8. What are the embedding model costs?
text-embedding-3-small: $0.01/1M tokens (standard) or $0.0001/1M (batch)
text-embedding-3-large: $0.065/1M tokens (standard) or $0.00013/1M (batch)
text-embedding-ada-002: $0.05/1M tokens (standard) or $0.0004/1M (batch)