NOUMENOpen app

OpenAI · Balanced

GPT-4 Turbo

Added Jan 1, 2024

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Use in the app

Can take in the largest messages (up to 300 pages of context), and all round seen as one of the best in class models.

  • Vision
Input
Text, Images
Output
Text
Discovery tier
Balanced

Pricing

USD per 1M tokens
Input
$10.00
Output
$30.00

Reference prices as published by the model provider. API example

Specifications

Context window
128K
Max output
4.1K

Side by side

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Public evaluations

Benchmarks

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

Intelligence Index

7.0

Better than 9% of 326 scored models

3.8Catalog models by score55.1

Indexes

  • Coding Index

    21.5

    Composite of the coding evaluations

    Better than 16% of 168 scored models

Reasoning and knowledge

  • Humanity’s Last Exam

    3.1%

    Expert-level questions across academic fields

    Better than 1% of 323 scored models

  • MMLU-Pro

    69.4%

    Multi-subject knowledge and reasoning

    Better than 21% of 132 scored models

Coding

  • LiveCodeBench

    29.1%

    Recent competitive programming problems

    Better than 18% of 129 scored models

Math

  • AIME

    15.0%

    Competition mathematics

    Better than 20% of 72 scored models

  • MATH-500

    73.7%

    Competition math problems

    Better than 17% of 73 scored models

Scores from Artificial Analysis, updated Oct 26, 2026.

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-turbo",
    "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-turbo",
    messages=[{"role": "user", "content": "Explain this stack trace."}],
)
print(reply.choices[0].message.content)

OpenAI

Other OpenAI models, starting with the same family.