tokevenGPT 5.6 Luna vs Gemini 3.5 Flash-Lite
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 3.5 Flash-Lite
Fast / BudgetQuality
Task confidence comparison
Guidance
When to use GPT 5.6 Luna vs Gemini 3.5 Flash-Lite
Choose GPT 5.6 Luna when...
- -You need strong classification (confidence 91 vs 85)
- -You need strong extraction (confidence 89 vs 83)
- -You need strong q&a (confidence 85 vs 78)
- -You need strong summarization (confidence 84 vs 79)
- -Cost matters: 33% cheaper on input tokens
- -You need a larger context window (1,050K vs 1,000K)
Choose Gemini 3.5 Flash-Lite when...
- Similar performance; consider provider preference or ecosystem fit.
At scale
Cost at scale
FAQ
When should I use GPT 5.6 Luna instead of Gemini 3.5 Flash-Lite?
GPT 5.6 Luna outperforms Gemini 3.5 Flash-Lite for Classification, Extraction, Q&A. It costs $0.20/$1.20 per million tokens (input/output).
Is Gemini 3.5 Flash-Lite cheaper than GPT 5.6 Luna?
Gemini 3.5 Flash-Lite input costs $0.30/MTok, which is 50% more than GPT 5.6 Luna at $0.20/MTok.
What are the context window sizes for GPT 5.6 Luna and Gemini 3.5 Flash-Lite?
GPT 5.6 Luna has a 1,050K token context window. Gemini 3.5 Flash-Lite has a 1,000K 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 3.5 Flash-Lite 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.