Available now
OpenAI
o3-mini
OpenAI o3-mini is a cost-efficient language model optimized for STEM reasoning tasks, particularly excelling in science, mathematics, and coding. This model supports the reasoning_effort parameter, which can be set to...
TextReasoningTools200KFilesCache
InputFree
OutputFree
Context200K
Endpointsopenai
Capabilities
ReasoningToolsFilesCacheStructured
Modalities
Input
textfile
Output
text
Quick stats
Context window200K
Max output100K
Modechat
TokenizerGPT
Knowledge cutoff2023
ModeratedYes
Performance
Loading performance data...
Supported parameters
| Parameter | Always | Default |
|---|---|---|
| frequency_penalty | - | (do not send) |
| include_reasoning | - | |
| max_tokens | - | |
| presence_penalty | - | (do not send) |
| reasoning | - | |
| repetition_penalty | - | (do not send) |
| response_format | - | |
| seed | - | |
| structured_outputs | - | |
| temperature | - | (do not send) |
| tool_choice | - | |
| tools | - | |
| top_k | - | (do not send) |
| top_p | - | (do not send) |
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Pricing
| Input price | $0.00 · 1M tokens |
| Output price | $0.00 · 1M tokens |
| Context window | 200K tokens |
| Compatible endpoints | openai |
| Vendor | OpenAI |
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Call o3-mini from your code
Point any OpenAI-compatible SDK at UnoRouter and request the model by name. Replace YOUR_API_KEY with a real key from your dashboard.
bash
curl https://api.unorouter.com/v1/chat/completions \
-H "Authorization: Bearer YOUR_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "o3-mini",
"messages": [{"role": "user", "content": "Hello!"}]
}'§ 03
Frequently asked questions
How much does o3-mini cost per 1M tokens?
Input is priced at $0.00 per 1M tokens, output at $0.00 per 1M tokens. Billing is per token, no rounding to batch sizes.
How do I access o3-mini via API?
Send requests to the UnoRouter /v1/chat/completions endpoint with model=o3-mini. Any OpenAI-compatible client library works. Authentication uses a standard Bearer token.
What is the context window of o3-mini?
o3-mini supports a context window of 200K tokens, shared between your prompt and the model's response.
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