Pricing hub
OpenAI Pricing
OpenAI publishes clear per-1M token pricing, which makes it easier to forecast request cost and compare the current model family before you ship.
Live pricing table
Use this table to compare the published input, cached input, and output rates before you run the calculator.
Input 1,000 / Output 250
| Model | Input / 1M | Cached input / 1M | Output / 1M | Example request | Source |
|---|---|---|---|---|---|
GPT-5.5 OpenAI’s newest frontier model for the most complex professional work. | $5.00 | No public rate | $30.0 | $0.013 | OpenAI pricing |
GPT-5.4 OpenAI's latest flagship general-purpose model for complex work. | $2.50 | No public rate | $15.0 | $0.0063 | OpenAI pricing |
GPT-5 OpenAI's current flagship general-purpose model for complex work. | $1.25 | No public rate | $10.0 | $0.0037 | OpenAI pricing |
GPT-5 mini Current mini model for routine production tasks and high-volume workflows. | $0.250 | No public rate | $2.00 | $0.0008 | OpenAI pricing |
GPT-5 nano Lowest-cost OpenAI model for routing, classification, and ultra-high-volume requests. | $0.0500 | No public rate | $0.400 | $0.0002 | OpenAI pricing |
GPT-4.1 Long-context OpenAI model for general-purpose production work. | $2.00 | No public rate | $8.00 | $0.0040 | OpenAI pricing |
GPT-4.1 mini Cheaper long-context OpenAI model for balanced production workflows. | $0.400 | No public rate | $1.60 | $0.0008 | OpenAI pricing |
GPT-4.1 nano Ultra-low-cost OpenAI model for simple, high-throughput tasks. | $0.100 | No public rate | $0.400 | $0.0002 | OpenAI pricing |
o4-mini Fast reasoning model for cheaper chain-of-thought and structured tasks. | $1.10 | No public rate | $4.40 | $0.0022 | OpenAI pricing |
o3 OpenAI reasoning model for harder analytical and planning workloads. | $2.00 | No public rate | $8.00 | $0.0040 | OpenAI pricing |
How to use this pricing page
- 1. Start with real prompts. Estimate the input and output token counts from the workflow you actually run.
- 2. Check the example cost. The table shows a request-level estimate so you can compare the published rate card with your usage pattern.
- 3. Validate the savings. Open the LLM cost calculator and test a few prompt sizes before you make a budget call.
- 4. Compare the model choice. If you need a second opinion, use one of the linked comparison pages below.
Highlights
- • Best for teams already building on the OpenAI API.
- • Shows the current flagship, mini, nano, and reasoning tiers side by side.
- • A good place to start before you estimate prompt and output costs in the calculator.
Source: OpenAI pricing
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FAQ
Which OpenAI model should I start with?
Use GPT-5 for stronger general capability, then drop to GPT-5 mini or GPT-5 nano when the workflow is routine, high-volume, or cost-sensitive.
How should I estimate OpenAI spend?
Use the calculator with realistic input and output token counts, then sanity-check the result against the per-1M token rates on this page.
Is there a cheaper OpenAI option?
GPT-5 nano is the lowest-cost OpenAI option in the current family and is often the right default for repetitive utility tasks.