OpenAI o3-mini

OpenAI o3-mini is the small, cost-efficient reasoning model in OpenAI's o-series, optimised for STEM tasks in science, mathematics, and coding.

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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: $0.55

providers

OpenAI hosts OpenAI o3-mini. Impossibl routes your request intelligently and handles failover automatically when a provider is down.

OpenAI

specifications

takes text in, gives text outopenai/o3-mini

creatorOpenAI
model typeText generation
context window200,000 tokens
maximum outputnot published
input
takes text in, gives text out
outputtext
tool callingnot verified
releasedjan 31, 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/o3-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/o3-mini",
    input="▌",
)
print(resp.output_text)

edit the prompt, then run

benchmarks

intelligence index

12.5#99 of 113 models on the gateway

gpqa74.8%#64 of 82
humanity’s last exam7.9%#77 of 93

GPQA74.8%
LiveCodeBench71.7%
Tau228.7%
Humanity’s Last Exam7.9%
Terminal-Bench Hard6.8%

Intelligence Index12.47
intelligence index (API)12.5

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 2026-10-22.

compare OpenAI o3-mini with other models

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

anthropic/claude-opus-5-5$4.00 / $20.00compare →
moonshotai/kimi-k3.1-pro$2.00 / $10.00compare →
google/gemini-4-argon$2.00 / $10.00compare →
meta/muse-wonder$4.00 / $20.00compare →

impossibl models --all →

frequently asked questions

What is OpenAI o3-mini?

OpenAI o3-mini is the small, cost-efficient reasoning model in OpenAI's o-series, optimised for STEM tasks in science, mathematics, and coding. It exposes a reasoning_effort parameter so developers can trade speed for deeper thinking, and it is text-only unlike its successor o4-mini.

How much does OpenAI o3-mini cost?

OpenAI o3-mini costs $1.10 per million input tokens and $4.40 per million output tokens through the Impossibl API. Cache reads cost $0.55 per million tokens. All rates are in USD.

view the pricing table ↑

What is the context length of OpenAI o3-mini?

OpenAI o3-mini has a 200,000-token context window through the Impossibl API.

What inputs and outputs does OpenAI o3-mini support?

OpenAI o3-mini accepts text as input. OpenAI o3-mini returns text.

How do I use OpenAI o3-mini through an API?

OpenAI o3-mini is available through the Impossibl API. Use openai/o3-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 o3-mini released?

OpenAI released OpenAI o3-mini on January 31, 2025.

Creator release announcement ↗

this page describes OpenAI o3-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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