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OpenAI · Balanced

GPT-3.5 Turbo

Added Jan 1, 2024

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Use in the app

Older model. Brought ChatGPT to the mainstream, seen as dated nowadays. 90% cheaper than GPT-4-Turbo, recommended for very simple tasks.

Input
Text
Output
Text
Discovery tier
Balanced

Pricing

USD per 1M tokens
Input
$0.50
Output
$1.50

Reference prices as published by the model provider. API example

Specifications

Context window
16.4K
Max output
4.1K

Side by side

GPT-3.5 Turbo compared

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

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GPT-3.5 TurboOpenAIThis modelMinistral 8BMistralRemove
ProviderOpenAIMistral
Discovery tierBalancedOpen weights
AddedJan 1, 2024Dec 4, 2025
Limits
Context window16.39K262.14KBest
Max output4.1K32.77KBest
Average output—40 tokens
Pricing, USD per 1M tokens
Input$0.50$0.15Best
Output$1.50$0.15Best
Performance
Request success (24h)—100.0%
Benchmark indexes
Intelligence Index5.55.5
Coding Index10.7Best9.7
Math Index—31.7
Capabilities
Reasoning effort——

Public evaluations

Benchmarks

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

  • GPT-3.5 Turbo
  • Ministral 8B

Intelligence Index

  • GPT-3.5 Turbo5.5
  • Ministral 8B5.5

GPT-3.5 Turbo: Better than 1% of 326 scored models

3.8Catalog models by score55.1

Indexes

  • Coding Index

    Composite of the coding evaluations

    • GPT-3.5 Turbo: 10.7Top
    • Ministral 8B: 9.7

  • Math Index

    Composite of the math evaluations

    • GPT-3.5 Turbo: —
    • Ministral 8B: 31.7

Agentic work

  • AutomationBench-AA

    Workflow automation, penalized for guardrail violations

    • GPT-3.5 Turbo: —
    • Ministral 8B: 0.5%

  • AutomationBench-AA tasks completed

    Workflows finished end to end without a guardrail violation

    • GPT-3.5 Turbo: —
    • Ministral 8B: 0.0%

  • AA-Briefcasev1.1

    Agentic knowledge work, rated head to head

    • GPT-3.5 Turbo: —
    • Ministral 8B: 77 Elo

  • GDPval-AAv2.1

    Economically valuable occupational tasks, rated head to head

    • GPT-3.5 Turbo: —
    • Ministral 8B: 213 Elo

Document reasoning

  • GDP.pdf

    Professional reasoning over PDF documents, all-pass rate

    • GPT-3.5 Turbo: —
    • Ministral 8B: 0.8%

  • AA-LCRv1.1

    Reasoning across long documents

    • GPT-3.5 Turbo: —
    • Ministral 8B: 25.7%

  • MLCR-AA

    Long-context reasoning over medical records

    • GPT-3.5 Turbo: —
    • Ministral 8B: 0.0%

Reasoning and knowledge

  • Humanity’s Last Exam

    Expert-level questions across academic fields

    • GPT-3.5 Turbo: —
    • Ministral 8B: 4.3%

  • GPQA Diamond

    Graduate-level science questions

    • GPT-3.5 Turbo: 29.7%
    • Ministral 8B: 47.1%Top

  • MMLU-Pro

    Multi-subject knowledge and reasoning

    • GPT-3.5 Turbo: 46.2%
    • Ministral 8B: 64.2%Top

  • IFBench

    Following precise output instructions

    • GPT-3.5 Turbo: —
    • Ministral 8B: 29.1%

Coding

  • Terminal-Benchv4.0

    Practical software engineering in a terminal

    • GPT-3.5 Turbo: —
    • Ministral 8B: 0.0%

  • SciCode

    Scientific computing in Python

    • GPT-3.5 Turbo: —
    • Ministral 8B: 20.7%

  • LiveCodeBench

    Recent competitive programming problems

    • GPT-3.5 Turbo: —
    • Ministral 8B: 30.3%

Math

  • AIME 2025

    Competition mathematics, 2025 problems

    • GPT-3.5 Turbo: —
    • Ministral 8B: 31.7%

  • MATH-500

    Competition math problems

    • GPT-3.5 Turbo: 44.1%
    • Ministral 8B: —

Legacy evaluations

  • Terminal-Bench Hard

    Earlier terminal task suite

    • GPT-3.5 Turbo: —
    • Ministral 8B: 4.5%

  • τ²-Bench Telecom

    Tool use in a customer-support simulation

    • GPT-3.5 Turbo: —
    • Ministral 8B: 26.6%

  • AA-LCR (unversioned)

    Long-context reasoning, earlier grading

    • GPT-3.5 Turbo: —
    • Ministral 8B: 25.7%

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-3.5-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-3.5-turbo",
    messages=[{"role": "user", "content": "Explain this stack trace."}],
)
print(reply.choices[0].message.content)

OpenAI

Other OpenAI models, starting with the same family.