token.app › Compare › GPT-6 Luna Pro (batch) vs Gemini 3.7 Flash

GPT-6 Luna Pro (batch) vs Gemini 3.7 Flash

GPT-6 Luna Pro (batch) is 15× cheaper per token on a blended 3:1 basis. GPT-6 Luna Pro (batch) accepts the larger context window (1.1M).

Head to head
Blended price uses a 3:1 input:output mix
GPT-6 Luna Pro (batch)Gemini 3.7 Flash
ProviderOpenAIGoogle
Input $/1M$0.050$0.750
Output $/1M$0.250$3.75
Blended $/1M$0.100$1.50
Context window1.1M1.0M
Max output128K66K
ReleasedSep 2026Aug 2026
LicenceProprietaryProprietary
Choose GPT-6 Luna Pro (batch) if…
  • Costs less per token — $0.100 vs $1.50 blended
  • Larger context window (1.1M)
  • Newer model (released Sep 2026)
Choose Gemini 3.7 Flash if…
  • No clear advantage on the data we hold.
FAQ
Which is better, GPT-6 Luna Pro (batch) or Gemini 3.7 Flash?
We do not hold independently-run benchmark scores covering both GPT-6 Luna Pro (batch) and Gemini 3.7 Flash, so we make no quality claim. Their pricing and specifications are compared on this page.
Is GPT-6 Luna Pro (batch) cheaper than Gemini 3.7 Flash?
GPT-6 Luna Pro (batch) is cheaper: $0.100 versus $1.50 per million tokens blended at 3:1 input:output. Input alone: $0.050 vs $0.750. Output alone: $0.250 vs $3.75.
What context windows do GPT-6 Luna Pro (batch) and Gemini 3.7 Flash have?
GPT-6 Luna Pro (batch): 1,050,000 tokens. Gemini 3.7 Flash: 1,048,576 tokens.
Who makes GPT-6 Luna Pro (batch) and Gemini 3.7 Flash?
GPT-6 Luna Pro (batch) is made by OpenAI. Gemini 3.7 Flash is made by Google.
Related comparisons