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GPT 4.1 Nano vs GPT 6 Luna
Side-by-side comparison of pricing, task quality, and projected cost at higher scale.
Pricing
Side-by-side pricing
GPT 4.1 Nano
Fast / BudgetGPT 6 Luna
Fast / BudgetInput $/MTok
$0.10
$0.10
Output $/MTok
$0.40
$0.50
Cache discount
75% off
90% off
Context
1,047.576K
922K
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 4.1 Nano
GPT 6 Luna
Guidance
When to use GPT 4.1 Nano vs GPT 6 Luna
Choose GPT 4.1 Nano when...
- -You need a larger context window (1,047.576K vs 922K)
- Similar performance; consider provider preference or ecosystem fit.
Choose GPT 6 Luna when...
- 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 4.1 Nano
GPT 6 Luna
100K tokens
$0.02Cheaper
$0.02
1M tokens
$0.19Cheaper
$0.36
10M tokens
$1.90Cheaper
$3.65
FAQ
When should I use GPT 4.1 Nano instead of GPT 6 Luna?
GPT 4.1 Nano and GPT 6 Luna perform similarly across all tracked tasks. Pick based on pricing and provider preference.
Is GPT 6 Luna cheaper than GPT 4.1 Nano?
Both models have the same input pricing at $0.10/MTok. Compare output pricing: $0.40 vs $0.50/MTok.
What are the context window sizes for GPT 4.1 Nano and GPT 6 Luna?
GPT 4.1 Nano has a 1,047.576K token context window. GPT 6 Luna has a 922K 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 4.1 Nano and GPT 6 Luna 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.