Deprecated model
Check the provider documentation before starting a new integration.
OpenRouter o3-miniPricing & API costs
A small model alternative to o3
$1.10 input · $0.55 cached input · $4.40 output / 1M tokens
Context window
200,000 tokens
Maximum output
100,000 tokens
Release date
2025-01-31
API model ID
openai/o3-miniModel overview
Understand the model before estimating your workload.
Use the model ID openai/o3-mini through OpenRouter. The prices and limits on this page apply to that specific listing, with source data checked on 2026-10-12.
OpenRouter o3-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.
This listing covers o3-mini through OpenRouter. Its model ID and rates belong to that channel. Check routing and endpoint availability before treating a direct API and a routed call as interchangeable.
Pricing
Rates are grouped by usage type and available tier.
Per 1M tokens
Input
$1.10
Cached input
$0.55
Output
$4.40
Batch pricing
OpenRouter has separate batch model IDs; those rates are not included in the standard listing.
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 $0.55 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
No batch multiplier is applied to the examples on this page. Check the pricing source before assuming an asynchronous job receives a discount. 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
- OpenRouter
- Model type
- Text tokens
- Family
- gpt
- Access
- OpenRouter
- Modalities
- Text
- Context window
- 200,000 tokens
- Max output
- 100,000 tokens
- Released
- 2025-01-31
- 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 · $0.55 cached input · $4.40 output / 1M tokens
$1.10 input · $0.55 cached input · $4.40 output / 1M tokens
Sources
Official pages and the date this information was checked.
- Last checked
- 2026-10-12
- Source links
- 2
Next step
Browse related models from this provider.
Recommended for
Frequently asked questions
OpenRouter pricing checked on 2026-10-12: $1.10 input · $0.55 cached input · $4.40 output / 1M tokens. These are OpenRouter channel rates; a different endpoint may have different pricing.
OpenRouter o3-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 source