tokevenGPTvsGPT
GPT 3.5 Turbo vs GPT 4.1 Nano
Side-by-side comparison of pricing, task quality, and projected cost at higher scale.
Pricing
Side-by-side pricing
GPT 3.5 Turbo
Fast / BudgetGPT 4.1 Nano
Fast / BudgetInput $/MTok
$0.50
$0.10
Output $/MTok
$1.50
$0.40
Cache discount
0% off
75% off
Context
16.385K
1,047.576K
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
GPT 4.1 Nano
Guidance
When to use GPT 3.5 Turbo vs GPT 4.1 Nano
Choose GPT 3.5 Turbo when...
- Similar performance; consider provider preference or ecosystem fit.
Choose GPT 4.1 Nano when...
- -Cost matters: 80% cheaper on input tokens
- -You need a larger context window (1,047.576K vs 16.385K)
At scale
Cost at scale
Estimated cost assuming a seventy percent input and thirty percent output token split.
GPT 3.5 Turbo
GPT 4.1 Nano
100K tokens
$0.08
$0.02Cheaper
1M tokens
$0.80
$0.19Cheaper
10M tokens
$8.00
$1.90Cheaper
FAQ
When should I use GPT 3.5 Turbo instead of GPT 4.1 Nano?
GPT 3.5 Turbo and GPT 4.1 Nano perform similarly across all tracked tasks. Pick based on pricing and provider preference.
Is GPT 4.1 Nano cheaper than GPT 3.5 Turbo?
Yes. GPT 4.1 Nano input costs $0.10/MTok vs $0.50/MTok for GPT 3.5 Turbo, saving 80% on input.
What are the context window sizes for GPT 3.5 Turbo and GPT 4.1 Nano?
GPT 3.5 Turbo has a 16.385K token context window. GPT 4.1 Nano has a 1,047.576K token context window.
Go deeper on either model
Per-call cost calculators, provider lineups, and price history for both models on this page.
Other comparisons
How GPT 3.5 Turbo and GPT 4.1 Nano stack up against the rest of the field.
Track your real costs
Comparisons show estimated costs at list price. The dashboard reveals your real spend and savings.