Deprecated model
Check the provider documentation before starting a new integration.
o4-miniPricing & API costs
Fast, cost-efficient reasoning model, succeeded by GPT-5 Mini
Text: $1.10 input · $0.275 cached input · $4.40 output / 1M tokens
Context window
200,000 tokens
Maximum output
100,000 tokens
Release date
Not published
API model ID
o4-miniModel overview
Understand the model before estimating your workload.
Use the model ID o4-mini through the provider's direct API. The prices and limits on this page apply to that specific listing, with source data checked on 2026-10-12.
o4-mini has a published context window of 200,000 tokens. The maximum output for this channel is 100,000 tokens. Budget context space for your prompt, conversation history, retrieved material, and the response. Context capacity and output limits are different; your input and response must fit within the request limits. A larger window does not make those tokens free.
Pricing
Rates are grouped by usage type and available tier.
Per 1M tokens
Input
$1.10
Cached input
$0.275
Output
$4.40
Batch pricing
Batch requests are charged at 50% of standard rates.
How billing works
The details that turn a token rate into an actual bill.
Use the published billing unit
This model uses / 1M tokens. Do not substitute a text-token estimate for image, audio, video, or document charges.
Cache hits have their own rate
The listed cached-input price is $0.275 per million tokens. Reusing a prompt does not automatically qualify: use the provider's reported cached-token count, and account for any cache-write or storage charges.
Check discounts and rate tiers
Eligible batch requests use 50% of the standard token rate in this listing. Batch work is asynchronous; check supported endpoints and turnaround times. Review the provider's pricing terms for workload-specific conditions.
Account for the complete workflow
Retries, follow-up calls, and agent tool loops increase request counts. Search, storage, and other tool charges can be billed separately from model inference. Use actual API usage logs to calibrate a budget before scaling traffic.
Capabilities and limits
What the API supports and where limits apply.
- Provider
- OpenAI
- Model type
- Text tokens
- Family
- gpt
- Access
- Direct API
- Modalities
- Text · Image
- Context window
- 200,000 tokens
- Max output
- 100,000 tokens
- Released
- Not published
- Deprecation date
- Not announced
Compare API channels
Check the model ID, rate, and limit for each access route.
The same model can have a different ID, price, or output limit depending on how you access it. These are the channels currently tracked in this catalog; they are not a complete list of every hosting provider.
Text: $1.10 input · $0.275 cached input · $4.40 output / 1M tokens
$1.10 input · $0.275 cached input · $4.40 output / 1M tokens
Sources
Official pages and the date this information was checked.
- Last checked
- 2026-10-12
- Source links
- 3
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Frequently asked questions
OpenAI pricing checked on 2026-10-12: Text: $1.10 input · $0.275 cached input · $4.40 output / 1M tokens. These rates apply to the listed API model ID.
o4-mini has a published context window of 200,000 tokens. The maximum output for this channel is 100,000 tokens. Budget context space for your prompt, conversation history, retrieved material, and the response. Context capacity and output limits are different; your input and response must fit within the request limits. A larger window does not make those tokens free.
The recorded status is Deprecated. Check the replacement and migration information before starting a new integration.
Recent updates
Added to the model directory.
View sourceModel details changed in the provider's documentation.
View source