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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

GPT 4.1 Mini compared

Specifications, prices, speed and benchmark scores next to each other. Benchmarks below show every compared model too.

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GPT 4.1 MiniOpenAIThis modelGemini 2.5 Flash Lite Preview (09/2025) – ThinkingGoogleRemove
ProviderOpenAIGoogle
Discovery tierEfficientEfficient
AddedSep 10, 2025Sep 25, 2025
Limits
Context window1.05M1.05MBest
Max output32.77K65.54KBest
Average output19 tokens—
Pricing, USD per 1M tokens
Input$0.40$0.10Best
Output$1.60$0.40Best
Cache read$0.10$0.01Best
Performance
Request success (24h)100.0%Best72.1%
Benchmark indexes
Intelligence Index10.210.4Best
Coding Index20.2—
Math Index46.368.7Best
Capabilities
ReasoningNoYes
ToolsNoYes
VisionYesYes
Structured outputNoYes
PDF inputNoYes
Audio inputNoYes
Reasoning effort—low, medium, high

Public evaluations

Benchmarks

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

  • GPT 4.1 Mini
  • Gemini 2.5 Flash Lite Preview (09/2025) – Thinking

Intelligence Index

  • GPT 4.1 Mini10.2
  • Gemini 2.5 Flash Lite Preview (09/2025) – Thinking10.4

GPT 4.1 Mini: Better than 22% of 326 scored models

3.8Catalog models by score55.1

Indexes

  • Coding Index

    Composite of the coding evaluations

    • GPT 4.1 Mini: 20.2
    • Gemini 2.5 Flash Lite Preview (09/2025) – Thinking: —

  • Math Index

    Composite of the math evaluations

    • GPT 4.1 Mini: 46.3
    • Gemini 2.5 Flash Lite Preview (09/2025) – Thinking: 68.7Top

Agentic work

  • GDPval-AAv2.1

    Economically valuable occupational tasks, rated head to head

    • GPT 4.1 Mini: 270 Elo
    • Gemini 2.5 Flash Lite Preview (09/2025) – Thinking: —

Document reasoning

  • AA-LCRv1.1

    Reasoning across long documents

    • GPT 4.1 Mini: 44.0%
    • Gemini 2.5 Flash Lite Preview (09/2025) – Thinking: 64.7%Top

Reasoning and knowledge

  • Humanity’s Last Exam

    Expert-level questions across academic fields

    • GPT 4.1 Mini: 5.0%
    • Gemini 2.5 Flash Lite Preview (09/2025) – Thinking: 7.0%Top

  • GPQA Diamond

    Graduate-level science questions

    • GPT 4.1 Mini: 66.4%
    • Gemini 2.5 Flash Lite Preview (09/2025) – Thinking: 70.9%Top

  • MMLU-Pro

    Multi-subject knowledge and reasoning

    • GPT 4.1 Mini: 78.1%
    • Gemini 2.5 Flash Lite Preview (09/2025) – Thinking: 80.8%Top

  • IFBench

    Following precise output instructions

    • GPT 4.1 Mini: 38.3%
    • Gemini 2.5 Flash Lite Preview (09/2025) – Thinking: 52.6%Top

Coding

  • LiveCodeBench

    Recent competitive programming problems

    • GPT 4.1 Mini: 48.3%
    • Gemini 2.5 Flash Lite Preview (09/2025) – Thinking: 68.8%Top

Math

  • AIME 2025

    Competition mathematics, 2025 problems

    • GPT 4.1 Mini: 46.3%
    • Gemini 2.5 Flash Lite Preview (09/2025) – Thinking: 68.7%Top

  • AIME

    Competition mathematics

    • GPT 4.1 Mini: 43.0%
    • Gemini 2.5 Flash Lite Preview (09/2025) – Thinking: —

  • MATH-500

    Competition math problems

    • GPT 4.1 Mini: 92.5%
    • Gemini 2.5 Flash Lite Preview (09/2025) – Thinking: —

Legacy evaluations

  • Terminal-Bench Hard

    Earlier terminal task suite

    • GPT 4.1 Mini: 7.6%
    • Gemini 2.5 Flash Lite Preview (09/2025) – Thinking: 12.9%Top

  • τ²-Bench Telecom

    Tool use in a customer-support simulation

    • GPT 4.1 Mini: 52.9%Top
    • Gemini 2.5 Flash Lite Preview (09/2025) – Thinking: 30.7%

  • AA-LCR (unversioned)

    Long-context reasoning, earlier grading

    • GPT 4.1 Mini: 44.0%
    • Gemini 2.5 Flash Lite Preview (09/2025) – Thinking: 64.7%Top

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
55.9%
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.