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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

GPT-4 Turbo compared

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

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GPT-4 TurboOpenAIThis modelLlama 3.1 8B (decentralized)MetaRemove
ProviderOpenAIMeta
Discovery tierBalancedOpen weights
AddedJan 1, 2024Jan 1, 2024
Limits
Context window128K128K
Max output4.1K16.38KBest
Pricing, USD per 1M tokens
Input$10.00$0.02Best
Output$30.00$0.03Best
Performance
Request success (24h)—100.0%
Benchmark indexes
Intelligence Index7.0Best6.9
Coding Index21.5Best5.4
Math Index—4.3
Capabilities
VisionYesNo
Reasoning effort——

Public evaluations

Benchmarks

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

  • GPT-4 Turbo
  • Llama 3.1 8B (decentralized)

Intelligence Index

  • GPT-4 Turbo7.0
  • Llama 3.1 8B (decentralized)6.9

GPT-4 Turbo: Better than 9% of 326 scored models

3.8Catalog models by score55.1

Indexes

  • Coding Index

    Composite of the coding evaluations

    • GPT-4 Turbo: 21.5Top
    • Llama 3.1 8B (decentralized): 5.4

  • Math Index

    Composite of the math evaluations

    • GPT-4 Turbo: —
    • Llama 3.1 8B (decentralized): 4.3

Document reasoning

  • AA-LCRv1.1

    Reasoning across long documents

    • GPT-4 Turbo: —
    • Llama 3.1 8B (decentralized): 18.0%

Reasoning and knowledge

  • Humanity’s Last Exam

    Expert-level questions across academic fields

    • GPT-4 Turbo: 3.1%
    • Llama 3.1 8B (decentralized): 5.3%Top

  • GPQA Diamond

    Graduate-level science questions

    • GPT-4 Turbo: —
    • Llama 3.1 8B (decentralized): 25.9%

  • MMLU-Pro

    Multi-subject knowledge and reasoning

    • GPT-4 Turbo: 69.4%Top
    • Llama 3.1 8B (decentralized): 47.6%

  • IFBench

    Following precise output instructions

    • GPT-4 Turbo: —
    • Llama 3.1 8B (decentralized): 28.6%

Coding

  • LiveCodeBench

    Recent competitive programming problems

    • GPT-4 Turbo: 29.1%Top
    • Llama 3.1 8B (decentralized): 11.6%

Math

  • AIME 2025

    Competition mathematics, 2025 problems

    • GPT-4 Turbo: —
    • Llama 3.1 8B (decentralized): 4.3%

  • AIME

    Competition mathematics

    • GPT-4 Turbo: 15.0%Top
    • Llama 3.1 8B (decentralized): 7.7%

  • MATH-500

    Competition math problems

    • GPT-4 Turbo: 73.7%Top
    • Llama 3.1 8B (decentralized): 51.9%

Legacy evaluations

  • Terminal-Bench Hard

    Earlier terminal task suite

    • GPT-4 Turbo: —
    • Llama 3.1 8B (decentralized): 0.8%

  • τ²-Bench Telecom

    Tool use in a customer-support simulation

    • GPT-4 Turbo: —
    • Llama 3.1 8B (decentralized): 16.4%

  • AA-LCR (unversioned)

    Long-context reasoning, earlier grading

    • GPT-4 Turbo: —
    • Llama 3.1 8B (decentralized): 18.0%

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

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.