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endpoint
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o1:mediumOpenAI Inc.

in /1M$15.00input tokens
out /1M$60.00output tokens
context200K100K out
trainingnoon your prompts
api
chat
hosting
US
model lab
OpenAI
weights
closed
added
December 2024
model id
openai/o1:medium

capabilities 5/8

visionreasoningtoolscachingweb searchjson schemacomputer useimage gen

pricing

no markup
input
$15.00
output
$60.00
cache write
-
cache read
$7.50

worked cost

Estimated cost for three request volumes
volumecost
100K in + 10K out$2.10
1M in + 100K out$21.00
10M in + 1M out$210.00

Requesty charges what the upstream provider charges, with no markup and no per-request fee. Prompt caching and smart routing cut the effective cost further on repeated context. Gateway pricing

provider price, passed throughper 1M tokens

measured

through Sep 12

no measured traffic for this endpoint yet. pricing above is the provider's own

benchmarks

artificial analysis
Benchmark scores, each normalised to 100
evalScore as a share of 100/100
MMLU Pro84.1
GPQA Diamond74.7
LiveCodeBench67.9
τ²-Bench62.6
Coding Index39.7
Intelligence Index15.2
Terminal-Bench Hard12.9
Humanity's Last Exam7.0
8 evalsmean45.5

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 2024-12-05.

policy

data terms
retention
30 days
trains on prompts
no
hosted in
US

Terms are the provider's, not Requesty's: routing a request here puts it under them. OpenAI Privacy Policy

Need every request to stay in one jurisdiction? EU hosting routes only through EU-hosted providers.

quickstart

openai compatible
openai/o1:medium

this id pins the openai inc. deployment, with no routing and no failover. the managed id on the canonical page routes across all 1 providers instead

main.py
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/o1:medium",    messages=[        {"role": "user", "content": "Explain quantum computing in one paragraph."},    ],) print(response.choices[0].message.content)

Change the base url to https://router.requesty.ai/v1, use your Requesty key, set the model to the id above. Existing OpenAI SDK code needs no other edit, and the same key reaches every other model in the catalog. Browse all models

notes

reference

The o1 series of models are trained with reinforcement learning to perform complex reasoning. o1 models think before they answer, producing a long internal chain of thought before responding to the user. The o1 reasoning model is designed to solve hard problems across domains. The knowledge cutoff for o1 and o1-mini models is October, 2023.

questions 6

How much does o1:medium cost?
o1:medium is priced at $15.00 per million input tokens and $60.00 per million output tokens when accessed via Requesty. Prompt caching is supported, which can cut effective input cost by up to 90% on repeated context. Requesty charges exactly what the upstream provider charges, we don't add markup.
What is the context window of o1:medium?
o1:medium has a context window of 200K tokens, with a maximum output of 100K tokens per response. That is roughly 267 words of input you can fit in a single prompt.
How does o1:medium perform on benchmarks?
o1:medium scores 84.1% on MMLU Pro, 74.7% on GPQA Diamond, 67.9% on LiveCodeBench. The benchmarks pane shows every published result, each normalised to 100.
What can o1:medium do?
o1:medium supports vision input, tool calling, extended reasoning, prompt caching, structured outputs (JSON schema). You can call it through any OpenAI-compatible client by pointing base_url to Requesty.
How do I use o1:medium with the OpenAI SDK?
Install the OpenAI SDK, set base_url to "https://router.requesty.ai/v1", set your API key to your Requesty key, and set the model to "openai/o1:medium". The quickstart pane shows Python, JavaScript and cURL snippets.
Can I run o1:medium through Requesty?
Yes. o1:medium runs through Requesty's OpenAI-compatible API, served from OpenAI Inc.. You do not host the model yourself: point base_url at Requesty, set the model to "openai/o1:medium", and requests are routed to the upstream provider with automatic failover. The same key gives you 600+ other models too.

more from openai inc. 8

Other OpenAI Inc. endpoints
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gpt-6-astra:flex1.1M$5.00
gpt-6-astra1.1M$10.00
gpt-5.6-luna1.1M$0.20
gpt-5.6-luna:flex1.1M$0.10
gpt-5.6-terra1.1M$2.00
gpt-5.6-terra:flex1.1M$1.00
gpt-5.6-sol1.1M$4.00
gpt-5.6-sol:flex1.1M$2.50

call o1:medium through one endpoint

One key for this endpoint and 600+ other models. No markup on provider prices, automatic failover when a provider degrades, and prompt caching built in. Methodology

o1:mediumopenai inc.in $15.00 /1Mout $60.00 /1Mctx 200Khosted US