GPT-4.1 mini

GPT-4.1 mini is the mid-sized tier of OpenAI's GPT-4.1 series, delivering performance competitive with GPT-4o at substantially lower latency and cost.

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input · usd / 1m tok

$0.40

output · usd / 1m tok

$1.60

context window

1mtokens

modalities · in → out

pricing

base api ratesusd per 1m tokens

input: $0.40
output: $1.60
cache read: $0.10

providers

OpenAI hosts GPT-4.1 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/gpt-4.1-mini

creatorOpenAI
model typeText generation
context window1,000,000 tokens
maximum outputnot published
input
takes text and image in, gives text out
outputtext
tool callingnot verified
releasedapr 14, 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/gpt-4.1-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/gpt-4.1-mini",
    input="▌",
)
print(resp.output_text)

edit the prompt, then run

benchmarks

intelligence index

10.2#97 of 108 models on the gateway

coding index20.2#58 of 64
omniscience-53.6#79 of 84
gpqa66.4%#71 of 80
humanity’s last exam5.0%#76 of 87

GPQA66.4%
MMMU-Pro58.7%
Tau252.9%
LiveCodeBench48.3%
AIME 202546.3%
AA-LCR44.0%
IFBench38.3%
Terminal-Bench Hard7.6%
Tau Banking5.4%
Humanity’s Last Exam5.0%
CritPt0.0%

Intelligence Index10.16
Omniscience Index-53.57
GDPval Elo269.78
coding index (API)20.2
intelligence index (API)10.2

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 GPT-4.1 mini with other models

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

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impossibl models --all →

frequently asked questions

What is GPT-4.1 mini?

GPT-4.1 mini is the mid-sized tier of OpenAI's GPT-4.1 series, delivering performance competitive with GPT-4o at substantially lower latency and cost. It keeps the family's long-context and instruction-following strengths while sitting between the flagship GPT-4.1 and the faster GPT-4.1 nano.

How much does GPT-4.1 mini cost?

GPT-4.1 mini costs $0.40 per million input tokens and $1.60 per million output tokens through the Impossibl API. Cache reads cost $0.10 per million tokens. All rates are in USD.

view the pricing table ↑

What is the context length of GPT-4.1 mini?

GPT-4.1 mini has a 1,000,000-token context window through the Impossibl API.

What inputs and outputs does GPT-4.1 mini support?

GPT-4.1 mini accepts text and image as input. GPT-4.1 mini returns text.

How do I use GPT-4.1 mini through an API?

GPT-4.1 mini is available through the Impossibl API. Use openai/gpt-4.1-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 GPT-4.1 mini released?

OpenAI released GPT-4.1 mini on April 14, 2025.

Creator release announcement ↗

this page describes GPT-4.1 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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