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OpenAI · Efficient

GPT 4.1 Mini

Added Sep 10, 2025

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Use in the app

Mid-sized GPT 4.1, comparable to GPT4o with a far higher context window, at lower cost and with higher speed.

  • Vision
Input
Text, Images
Output
Text
Discovery tier
Efficient

Pricing

USD per 1M tokens
Input
$0.40
Output
$1.60
Cache read
$0.10

Reference prices as published by the model provider. API example

Specifications

Context window
1M
Max output
32.8K
Average output (7 days)
19 tokens
Longer than 0% of 465 models

Side by side

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TryMiniMax M1Gemini 2.5 Flash Lite Preview (09/2025) – ThinkingQwen3 VL 235B A22B Instruct OriginalAll 3

Public evaluations

Benchmarks

Independent evaluation results, with how each score ranks among the models in the Noumen catalog.

Intelligence Index

10.2

Better than 22% of 326 scored models

3.8Catalog models by score55.1

Indexes

  • Coding Index

    20.2

    Composite of the coding evaluations

    Better than 13% of 168 scored models

  • Math Index

    46.3

    Composite of the math evaluations

    Better than 44% of 118 scored models

Agentic work

  • GDPval-AAv2.1

    270 Elo

    Economically valuable occupational tasks, rated head to head

    Better than 3% of 187 scored models

Document reasoning

  • AA-LCRv1.1

    44.0%

    Reasoning across long documents

    Better than 21% of 309 scored models

Reasoning and knowledge

  • Humanity’s Last Exam

    5.0%

    Expert-level questions across academic fields

    Better than 16% of 323 scored models

  • GPQA Diamond

    66.4%

    Graduate-level science questions

    Better than 23% of 291 scored models

  • MMLU-Pro

    78.1%

    Multi-subject knowledge and reasoning

    Better than 40% of 132 scored models

  • IFBench

    38.3%

    Following precise output instructions

    Better than 23% of 215 scored models

Coding

  • LiveCodeBench

    48.3%

    Recent competitive programming problems

    Better than 40% of 129 scored models

Math

  • AIME 2025

    46.3%

    Competition mathematics, 2025 problems

    Better than 44% of 118 scored models

  • AIME

    43.0%

    Competition mathematics

    Better than 48% of 72 scored models

  • MATH-500

    92.5%

    Competition math problems

    Better than 53% of 73 scored models

Legacy evaluations

  • Terminal-Bench Hard

    7.6%

    Earlier terminal task suite

    Better than 18% of 212 scored models

  • τ²-Bench Telecom

    52.9%

    Tool use in a customer-support simulation

    Better than 41% of 214 scored models

  • AA-LCR (unversioned)

    44.0%

    Long-context reasoning, earlier grading

    Better than 21% of 309 scored models

Scores from Artificial Analysis, updated Oct 26, 2026. Artificial Analysis

Live routing data

Performance and reliability

Recent averages across requests routed for this model. Your own speed depends on prompt length, reasoning effort and load.

Prompt cache hits
57.0%
About $0.23 per 1M input tokens with caching
Request success (24h)
100.0%
Reliable

Cache hits are the share of input tokens recently served from a prompt cache across all requests. They are not a forecast of your own hit rate.

Hourly request success · last 72 hoursLowest hour 100.0%
  • Healthy (98% or more)
  • Degraded (90–98%)
  • Down (under 90%)
  • No requests

Developers

Use it through the API

Noumen’s API is OpenAI-compatible: any Chat Completions client works with a base URL and a key.

Read the quickstart
curl https://www.noumen.xyz/api/v1/chat/completions \
  -H "Authorization: Bearer $NOUMEN_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "openai/gpt-4.1-mini",
    "messages": [{ "role": "user", "content": "Explain this stack trace." }]
  }'
import os
from openai import OpenAI

client = OpenAI(base_url="https://www.noumen.xyz/api/v1", api_key=os.environ["NOUMEN_API_KEY"])
reply = client.chat.completions.create(
    model="openai/gpt-4.1-mini",
    messages=[{"role": "user", "content": "Explain this stack trace."}],
)
print(reply.choices[0].message.content)

OpenAI

Other OpenAI models, starting with the same family.