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OpenAI · Efficient

GPT-4o mini

Added Jan 1, 2024

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Use in the app

OpenAI's most cost-efficient small model. Cheaper and smarter than GPT-3.5 (the original ChatGPT), but less performant than gpt-4o.

  • Vision
Input
Text, Images
Output
Text
Discovery tier
Efficient

Pricing

USD per 1M tokens
Input
$0.15
Output
$0.60
Cache read
$0.075

Reference prices as published by the model provider. API example

Specifications

Context window
128K
Max output
16.4K
Average output (7 days)
29 tokens
Longer than 1% of 465 models

Side by side

GPT-4o mini compared

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

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GPT-4o miniOpenAIThis modelGPT 6.1 Sol ProOpenAIRemove
ProviderOpenAIOpenAI
Discovery tierEfficientFrontier
AddedJan 1, 2024Sep 29, 2026
Limits
Context window128K1.05MBest
Max output16.38K128KBest
Average output29 tokens1.2K tokens
Pricing, USD per 1M tokens
Input$0.15Best$2.00
Output$0.60Best$10.00
Cache read$0.075Best$0.10
Cache write—$2.50
Performance
Request success (24h)100.0%100.0%
Benchmark indexes
Intelligence Index6.7—
Coding Index11.4—
Math Index14.7—
Capabilities
ReasoningNoYes
ToolsNoYes
VisionYesYes
Structured outputNoYes
PDF inputNoYes
Reasoning effort—low, medium, high, xhigh, max

Public evaluations

Benchmarks

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

  • GPT-4o mini
  • GPT 6.1 Sol Pro

Intelligence Index

  • GPT-4o mini6.7
  • GPT 6.1 Sol Pro—

GPT-4o mini: Better than 6% of 326 scored models

3.8Catalog models by score55.1

Indexes

  • Coding Index

    Composite of the coding evaluations

    • GPT-4o mini: 11.4
    • GPT 6.1 Sol Pro: —

  • Math Index

    Composite of the math evaluations

    • GPT-4o mini: 14.7
    • GPT 6.1 Sol Pro: —

Reasoning and knowledge

  • Humanity’s Last Exam

    Expert-level questions across academic fields

    • GPT-4o mini: 4.2%
    • GPT 6.1 Sol Pro: —

  • GPQA Diamond

    Graduate-level science questions

    • GPT-4o mini: 42.6%
    • GPT 6.1 Sol Pro: —

  • MMLU-Pro

    Multi-subject knowledge and reasoning

    • GPT-4o mini: 64.8%
    • GPT 6.1 Sol Pro: —

  • IFBench

    Following precise output instructions

    • GPT-4o mini: 31.0%
    • GPT 6.1 Sol Pro: —

Coding

  • LiveCodeBench

    Recent competitive programming problems

    • GPT-4o mini: 23.4%
    • GPT 6.1 Sol Pro: —

Math

  • AIME 2025

    Competition mathematics, 2025 problems

    • GPT-4o mini: 14.7%
    • GPT 6.1 Sol Pro: —

  • AIME

    Competition mathematics

    • GPT-4o mini: 11.7%
    • GPT 6.1 Sol Pro: —

  • MATH-500

    Competition math problems

    • GPT-4o mini: 78.9%
    • GPT 6.1 Sol Pro: —

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
0.0%
About $0.15 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-4o-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-4o-mini",
    messages=[{"role": "user", "content": "Explain this stack trace."}],
)
print(reply.choices[0].message.content)

OpenAI

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