OpenAI vs Google

GPT-5.6 Luna vs Gemini 3.1 Pro: pricing comparison

GPT-5.6 Luna costs 10.0× less than Gemini 3.1 Pro for a typical 1,000-input, 500-output request. Here is how the two compare on price, context and discounts.

Prices last updated:

Side-by-side prices

GPT-5.6 LunaGemini 3.1 Pro
ProviderOpenAIGoogle
Input per 1M tokens$0.20$2.00
Output per 1M tokens$1.20$12.00
Context window1.05M1.05M
Batch discount50% off50% off
Typical request (1,000 in / 500 out)$0.0008$0.008
Monthly at 1,000 requests/day$24.00$240.00

GPT-5.6 Luna: Inputs above 272K tokens are billed at a higher long-context rate ($0.40 / $1.80).

Gemini 3.1 Pro: Price shown is for prompts up to 200K tokens; longer prompts are billed at $4 / $18.

Compare with your own numbers

GPT-5.6 Luna per request
$0.0008
Per month
$24.00
Gemini 3.1 Pro per request
$0.008
Per month
$240.00

Cost by task

Cost per 1,000 requests at standard prices.
TaskTokens (in / out)GPT-5.6 LunaGemini 3.1 Pro
Short chat reply500 / 300$0.46$4.60
RAG answer6,000 / 600$1.92$19.20
Summarize a long document12,000 / 1,000$3.60$36.00
Output-heavy generation1,000 / 4,000$5.00$50.00

Output tokens usually dominate the bill — see input vs output token cost.

Frequently asked questions

Is GPT-5.6 Luna or Gemini 3.1 Pro cheaper?
GPT-5.6 Luna is cheaper for a typical request of 1,000 input and 500 output tokens: $0.0008 versus $0.008 for Gemini 3.1 Pro, about 90% less.
What are the per-token prices of GPT-5.6 Luna and Gemini 3.1 Pro?
GPT-5.6 Luna costs $0.20 input and $1.20 output per million tokens. Gemini 3.1 Pro costs $2.00 input and $12.00 output per million tokens.
Which has the larger context window, GPT-5.6 Luna or Gemini 3.1 Pro?
GPT-5.6 Luna has the larger context window: 1.05M tokens versus 1.05M for Gemini 3.1 Pro.

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