tokevenGPTvsGemini
GPT 5.6 Luna vs Gemini Omni Flash
Side-by-side comparison of pricing, task quality, and projected cost at higher scale.
Pricing
Side-by-side pricing
GPT 5.6 Luna
Fast / BudgetGemini Omni Flash
Fast / BudgetInput $/MTok
$0.20
$1.50
Output $/MTok
$1.20
$9.00
Cache discount
90% off
0% off
Context
922K
1,048.576K
Quality
Task confidence comparison
Confidence score from zero to one hundred by task type, where higher is better.
Code Generation
70
vs
0
Code Review
68
vs
0
Summarization
84
vs
0
Q&A
85
vs
0
Extraction
89
vs
0
Reasoning
63
vs
0
Classification
91
vs
0
Creative Writing
58
vs
0
GPT 5.6 Luna
Gemini Omni Flash
Guidance
When to use GPT 5.6 Luna vs Gemini Omni Flash
Choose GPT 5.6 Luna when...
- -Cost matters: 87% cheaper on input tokens
Choose Gemini Omni Flash when...
- -You need a larger context window (1,048.576K vs 922K)
- 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
Gemini Omni Flash
100K tokens
$0.05Cheaper
$0.38
1M tokens
$0.82Cheaper
$3.75
10M tokens
$8.20Cheaper
$37.50
FAQ
When should I use GPT 5.6 Luna instead of Gemini Omni Flash?
GPT 5.6 Luna and Gemini Omni Flash perform similarly across all tracked tasks. Pick based on pricing and provider preference.
Is Gemini Omni Flash cheaper than GPT 5.6 Luna?
Gemini Omni Flash input costs $1.50/MTok, which is 650% more than GPT 5.6 Luna at $0.20/MTok.
What are the context window sizes for GPT 5.6 Luna and Gemini Omni Flash?
GPT 5.6 Luna has a 922K token context window. Gemini Omni Flash has a 1,048.576K 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 5.6 Luna and Gemini Omni Flash 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.