o3OpenAI
- endpoints
- 2
- regions
- 1
- api
- chat
- released
- April 2025
capabilities 5/8
The same weights cost 2.0x more on openai inc. than on openai inc.. That is what the endpoints table is for.
| # | flags | ||||||
|---|---|---|---|---|---|---|---|
| 1 |  OpenAI Inc. | Global | 200K | $1.00 | $4.00 | $0.25 | no-train |
| 2 | OpenAI Inc. | Global | 200K | $2.00 | $8.00 | $0.50 | no-train |
no measured traffic for this model yet. the endpoints table above carries provider pricing
| eval | Score as a share of 100 | /100 |
|---|---|---|
| Math Index | 88.3 | |
| AIME 2025 | 88.3 | |
| MMLU Pro | 85.3 | |
| GPQA Diamond | 82.7 | |
| LiveCodeBench | 80.8 | |
| τ²-Bench | 80.7 | |
| Terminal-Bench Hard | 37.1 | |
| Intelligence Index | 20.2 | |
| Humanity's Last Exam | 20.1 | |
| 9 evals | mean | 64.8 |
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.
openai/o3:flexthis model has no managed policy yet, so call the provider endpoint directly. every id in the endpoints table works the same way
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/o3: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
o3 is an advanced reasoning model that utilizes deep reinforcement learning and chain-of-thought processing to solve complex, multimodal coding, mathematics, and scientific problems with up to 100,000 output tokens.
questions 5
Which providers serve o3?
How much does o3 cost?
Is o3 open weights?
What is the context window of o3?
How do I use o3 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 o3 through one endpoint
One key for 1 provider 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