o4-miniOpenAI
- endpoints
- 11
- regions
- 7
- api
- chat
- released
- April 2025
- eu routing
- available
capabilities 4/8
The same weights cost 2.2x more on microsoft azure ai than on openai inc.. That is what the endpoints table is for.
| # | flags | ||||||
|---|---|---|---|---|---|---|---|
| 1 |  OpenAI Inc. | Global | 200K | $0.55 | $2.20 | $0.14 | no-train |
| 2 | OpenAI Inc. | Global | 200K | $1.10 | $4.40 | $0.28 | no-train |
| 3 | OpenAI Inc. | Global | 200K | $1.10 | $4.40 | $0.28 | no-train |
| 4 | OpenAI Inc. | Global | 200K | $1.10 | $4.40 | $0.28 | no-train |
| 5 | OpenAI Inc. | Global | 200K | $1.10 | $4.40 | $0.28 | no-train |
| 6 |  Microsoft Azure AI | eastus2 | 200K | $1.10 | $4.40 | $0.28 | zdr |
| 7 | Microsoft Azure AI | westus3 | 200K | $1.10 | $4.40 | $0.28 | zdr |
| 8 | Microsoft Azure AI | francecentral | 200K | $1.21 | $4.84 | $0.30 | zdr |
| 9 | Microsoft Azure AI | germanywestcentral | 200K | $1.21 | $4.84 | $0.30 | zdr |
| 10 | Microsoft Azure AI | swedencentral | 200K | $1.21 | $4.84 | $0.30 | zdr |
| 11 | Microsoft Azure AI | westeurope | 200K | $1.21 | $4.84 | $0.30 | zdr |
no measured traffic for this model yet. the endpoints table above carries provider pricing
| eval | Score as a share of 100 | /100 |
|---|---|---|
| Math Index | 90.7 | |
| AIME 2025 | 90.7 | |
| LiveCodeBench | 85.9 | |
| MMLU Pro | 83.2 | |
| GPQA Diamond | 78.4 | |
| τ²-Bench | 55.6 | |
| Intelligence Index | 16.7 | |
| Humanity's Last Exam | 16.5 | |
| Terminal-Bench Hard | 15.2 | |
| 9 evals | mean | 59.2 |
Scores from Artificial Analysis and public leaderboards, normalised to 100. Bar colour is the band, not the rank: green 80 and up, blue 55 and up, amber 30 and up. Benchmarks measure narrow skills, so test on your own workload before committing. Released 2025-04-16.
o4-mini@eusame routing, restricted to eu-hosted providers. use this id when data residency is a requirement; requests never leave the eu
Base url is https://router.requesty.ai/v1 for every id here. One key reaches the whole catalog.
from openai import OpenAI client = OpenAI( api_key="YOUR_REQUESTY_API_KEY", base_url="https://router.requesty.ai/v1",) response = client.chat.completions.create( model="openai/o4-mini:flex", messages=[ {"role": "user", "content": "Explain quantum computing in one paragraph."}, ],) print(response.choices[0].message.content)
Change the base url, use your Requesty key, set the model to any id in the call pane. Existing OpenAI SDK code needs no other edit, and the same key reaches every other model in the catalog, so switching later is a one-parameter change. Browse all models
o4-mini is OpenAI's most recent small reasoning model, providing high intelligence at the same cost and latency targets of o1-mini. o3-mini also supports key developer features, like Structured Outputs, function calling, Batch API, and more. Like other models in the o-series, it is designed to excel at science, math, and coding tasks.
questions 5
Which providers serve o4-mini?
How much does o4-mini cost?
Is o4-mini open weights?
What is the context window of o4-mini?
How do I use o4-mini with the OpenAI SDK?
more from openai 6
| model | context | from /M | providers |
|---|---|---|---|
| gpt-6-astra | 1.1M | $5.00 | 2 |
| gpt-5.6-luna | 1.1M | $0.10 | 3 |
| gpt-5.6-terra | 1.1M | $1.00 | 3 |
| gpt-5.6-sol | 1.1M | $2.50 | 3 |
| gpt-5.5-pro | 1.1M | $30.00 | 1 |
| gpt-5.5 | 1.1M | $2.50 | 3 |
route o4-mini through one endpoint
One key for 2 providers on this model and 600+ others. No markup on provider prices, automatic failover, caching built in. Weekly aggregates in the measured pane come from production traffic routed through Requesty, one line per provider on a shared axis. Methodology