GPTvsGPT

GPT 3.5 Turbo (0125) vs GPT 4 Turbo (2024-04-09)

Side-by-side comparison of pricing, task quality, and projected cost at higher scale.

Pricing

Side-by-side pricing

GPT 3.5 Turbo (0125)

Fast / Budget

GPT 4 Turbo (2024-04-09)

Flagship
Input $/MTok
$0.50
$10.00
Output $/MTok
$1.50
$30.00
Cache discount
0% off
0% off
Context
16.385K
128K

Quality

Task confidence comparison

Confidence score from zero to one hundred by task type, where higher is better.
Code Generation
0
vs
0
Code Review
0
vs
0
Summarization
0
vs
0
Q&A
0
vs
0
Extraction
0
vs
0
Reasoning
0
vs
0
Classification
0
vs
0
Creative Writing
0
vs
0
GPT 3.5 Turbo (0125)
GPT 4 Turbo (2024-04-09)

Guidance

When to use GPT 3.5 Turbo (0125) vs GPT 4 Turbo (2024-04-09)

Choose GPT 3.5 Turbo (0125) when...

  • -Cost matters: 95% cheaper on input tokens

Choose GPT 4 Turbo (2024-04-09) when...

  • -You need a larger context window (128K vs 16.385K)
  • Similar performance; consider provider preference or ecosystem fit.

At scale

Cost at scale

Estimated cost assuming a seventy percent input and thirty percent output token split.
GPT 3.5 Turbo (0125)
GPT 4 Turbo (2024-04-09)
100K tokens
$0.08Cheaper
$1.60
1M tokens
$0.80Cheaper
$16.00
10M tokens
$8.00Cheaper
$160.00

FAQ

When should I use GPT 3.5 Turbo (0125) instead of GPT 4 Turbo (2024-04-09)?

GPT 3.5 Turbo (0125) and GPT 4 Turbo (2024-04-09) perform similarly across all tracked tasks. Pick based on pricing and provider preference.

Is GPT 4 Turbo (2024-04-09) cheaper than GPT 3.5 Turbo (0125)?

GPT 4 Turbo (2024-04-09) input costs $10.00/MTok, which is 1900% more than GPT 3.5 Turbo (0125) at $0.50/MTok.

What are the context window sizes for GPT 3.5 Turbo (0125) and GPT 4 Turbo (2024-04-09)?

GPT 3.5 Turbo (0125) has a 16.385K token context window. GPT 4 Turbo (2024-04-09) has a 128K token context window.

Track your real costs

Comparisons show estimated costs at list price. The dashboard reveals your real spend and savings.