OpenAI o4-mini

OpenAI o4-mini is a compact reasoning model in OpenAI's o-series, optimised for fast, cost-efficient performance.

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input · usd / 1m tok

$1.10

output · usd / 1m tok

$4.40

context window

200ktokens

modalities · in → out

pricing

base api ratesusd per 1m tokens

input: $1.10
output: $4.40
cache read: $0.275

providers

OpenAI hosts OpenAI o4-mini. Impossibl routes your request intelligently and handles failover automatically when a provider is down.

OpenAI

specifications

takes text and image in, gives text outopenai/o4-mini

creatorOpenAI
model typeText generation
context window200,000 tokens
maximum outputnot published
input
takes text and image in, gives text out
outputtext
tool callingnot verified
releasedapr 16, 2025
endpoint/v1/chat/completions

unknown means the public catalog does not establish that fact. a model's documented capabilities can differ from what a particular api supports. see the model documentation for integration details.

try it · your prompt, this model, live

# responses API
import os
from openai import OpenAI

client = OpenAI(
    api_key=os.environ["IMPOSSIBL_API_KEY"],
    base_url="https://api.impossibl.com/v1",
)

resp = client.responses.create(
    model="openai/o4-mini",
    input="▌",
)
print(resp.output_text)

edit the prompt, then run

# responses API
import os
from openai import OpenAI

client = OpenAI(
    api_key=os.environ["IMPOSSIBL_API_KEY"],
    base_url="https://api.impossibl.com/v1",
)

resp = client.responses.create(
    model="openai/o4-mini",
    input="▌",
)
print(resp.output_text)

edit the prompt, then run

benchmarks

intelligence index

16.7#80 of 108 models on the gateway

omniscience-35.7#71 of 84
gpqa78.4%#59 of 80
humanity’s last exam16.5%#64 of 87

AIME 202590.7%
LiveCodeBench85.9%
GPQA78.4%
MMMU-Pro69.2%
IFBench68.7%
AA-LCR61.0%
Tau255.6%
Humanity’s Last Exam16.5%
Terminal-Bench Hard15.2%
CritPt0.6%

Intelligence Index16.65
Omniscience Index-35.70
intelligence index (API)16.7

view source ↗all source data and breakdowns (json) ↗

each configuration is listed separately; these evaluations describe the tested model configuration, and performance and costs can differ on impossibl. unmeasured scores are omitted and api values keep their source units. last checked 2026-10-14.

compare OpenAI o4-mini with other models

frontier labs and open weights, best-ranked firstusd / 1m tok · in / out

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frequently asked questions

What is OpenAI o4-mini?

OpenAI o4-mini is a compact reasoning model in OpenAI's o-series, optimised for fast, cost-efficient performance. Unlike o3-mini it accepts images and supports tool use, retaining strong multimodal and agentic capabilities while sitting below the larger o3.

How much does OpenAI o4-mini cost?

OpenAI o4-mini costs $1.10 per million input tokens and $4.40 per million output tokens through the Impossibl API. Cache reads cost $0.275 per million tokens. All rates are in USD.

view the pricing table ↑

What is the context length of OpenAI o4-mini?

OpenAI o4-mini has a 200,000-token context window through the Impossibl API.

What inputs and outputs does OpenAI o4-mini support?

OpenAI o4-mini accepts text and image as input. OpenAI o4-mini returns text.

How do I use OpenAI o4-mini through an API?

OpenAI o4-mini is available through the Impossibl API. Use openai/o4-mini as the model identifier with /v1/chat/completions. The quickstart explains how to create an API key and send your first request.

follow the api quickstart →

When was OpenAI o4-mini released?

OpenAI released OpenAI o4-mini on April 16, 2025.

Creator release announcement ↗

this page describes OpenAI o4-mini as listed by the impossibl public api. prices and availability come from that catalog, refreshed here every five minutes. this is an impossibl offering, not a comparison of independent hosting-provider quotes. model descriptions and release dates, where available, use the creator sources linked under the answers above.

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