GPT-5.6 Luna vs Gemini 3.7 Flash

GPT-5.6 Luna is the cheaper of the two across every workload shape tested below. Headline rates are $0.2 in / $1.2 out for GPT-5.6 Luna versus $0.75 in / $3.75 out for Gemini 3.7 Flash, per million tokens.

Real monthly cost, three workloads

Workload GPT-5.6 Luna Gemini 3.7 Flash Cheaper
Support chatbot
1.5k in / 400 out · 100k req/mo · 30% cached
$69.90 $232.13 GPT-5.6 Luna (3.3× cheaper)
RAG / doc Q&A
12k in / 700 out · 50k req/mo · 60% cached
$97.20 $338.25 GPT-5.6 Luna (3.5× cheaper)
Coding agent
25k in / 2.5k out · 20k req/mo · 80% cached
$88.00 $292.50 GPT-5.6 Luna (3.3× cheaper)

Costs include prompt caching at the stated hit rate and per-model tokenizer correction. Adjust for your own traffic →

Specifications side by side

GPT-5.6 Luna Gemini 3.7 Flash
Provider OpenAI Google
Input / M tokens $0.2 $0.75
Output / M tokens $1.2 $3.75
Cached input $0.02 $0.075
Context window 1050K —
Batch discount −50% −50%
Tokenizer factor ×1 ×1
Min prefix to cache — —
Announced retirement — —

Which should you pick?

On cost alone, GPT-5.6 Luna wins every workload shape above.

Full detail: GPT-5.6 Luna · Gemini 3.7 Flash

All figures verified 2026-08-18 against official provider documentation. Fields a provider does not publish are shown as “—” rather than estimated.