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o4-mini:lowOpenAI Inc.

in /1M$1.10input tokens
out /1M$4.40output tokens
context200K100K out
trainingnoon your prompts
api
chat
hosting
US
model lab
OpenAI
weights
closed
added
April 2025
model id
openai/o4-mini:low

capabilities 4/8

visionreasoningtoolscachingweb searchjson schemacomputer useimage gen

2 providers serve o4-mini. This page is one of them. Compare all endpoints

pricing

no markup
input
$1.10
output
$4.40
cache write
-
cache read
$0.28

worked cost

Estimated cost for three request volumes
volumecost
100K in + 10K out$0.15
1M in + 100K out$1.54
10M in + 1M out$15.40

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
Math Index90.7
AIME 202590.7
LiveCodeBench85.9
MMLU Pro83.2
GPQA Diamond78.4
τ²-Bench55.6
Intelligence Index16.7
Humanity's Last Exam16.5
Terminal-Bench Hard15.2
9 evalsmean59.2

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.

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/o4-mini:low

this id pins the openai inc. deployment, with no routing and no failover. the managed id on the canonical page routes across all 2 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/o4-mini:low",    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

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 6

How much does o4-mini:low cost?
o4-mini:low is priced at $1.10 per million input tokens and $4.40 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 o4-mini:low?
o4-mini:low 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 o4-mini:low perform on benchmarks?
o4-mini:low scores 90.7% on Math Index, 90.7% on AIME 2025, 85.9% on LiveCodeBench. The benchmarks pane shows every published result, each normalised to 100.
What can o4-mini:low do?
o4-mini:low supports 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 o4-mini:low 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/o4-mini:low". The quickstart pane shows Python, JavaScript and cURL snippets.
Can I run o4-mini:low through Requesty?
Yes. o4-mini:low 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/o4-mini:low", 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

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gpt-5.6-sol:flex1.1M$2.50
gpt-5.6-sol1.1M$4.00

call o4-mini:low 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

o4-mini:lowopenai inc.in $1.10 /1Mout $4.40 /1Mctx 200Khosted US2 providers serve this model