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GPT 5.6 Luna vs GPT 4 Turbo
Side-by-side comparison of pricing, task quality, and projected cost at higher scale.
Pricing
Side-by-side pricing
GPT 5.6 Luna
Fast / BudgetGPT 4 Turbo
FlagshipInput $/MTok
$0.20
$10.00
Output $/MTok
$1.20
$30.00
Cache discount
90% off
0% off
Context
922K
128K
Quality
Task confidence comparison
Confidence score from zero to one hundred by task type, where higher is better.
Code Generation
62
vs
0
Code Review
68
vs
0
Summarization
57
vs
0
Q&A
85
vs
0
Extraction
74
vs
0
Reasoning
86
vs
0
Classification
91
vs
0
Creative Writing
69
vs
0
GPT 5.6 Luna
GPT 4 Turbo
Guidance
When to use GPT 5.6 Luna vs GPT 4 Turbo
Choose GPT 5.6 Luna when...
- -Cost matters: 98% cheaper on input tokens
- -You need a larger context window (922K vs 128K)
Choose GPT 4 Turbo 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 5.6 Luna
GPT 4 Turbo
100K tokens
$0.05Cheaper
$1.60
1M tokens
$0.82Cheaper
$16.00
10M tokens
$8.20Cheaper
$160.00
FAQ
When should I use GPT 5.6 Luna instead of GPT 4 Turbo?
GPT 5.6 Luna and GPT 4 Turbo perform similarly across all tracked tasks. Pick based on pricing and provider preference.
Is GPT 4 Turbo cheaper than GPT 5.6 Luna?
GPT 4 Turbo input costs $10.00/MTok, which is 4900% more than GPT 5.6 Luna at $0.20/MTok.
What are the context window sizes for GPT 5.6 Luna and GPT 4 Turbo?
GPT 5.6 Luna has a 922K token context window. GPT 4 Turbo has a 128K 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 5.6 Luna and GPT 4 Turbo 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.