Skip to content

Head to head

Gemini 3.6 Flash vs GPT-5.6 Luna

Which is better, Gemini 3.6 Flash or GPT-5.6 Luna?

Gemini 3.6 Flash finishes ahead of GPT-5.6 Luna on the index, 86.6 to 83.3. It is the stronger of the two on Craft, while GPT-5.6 Luna still leads on Value. Both are scored on the same rubric, in the same week, and neither placing is sponsored.

Updated

Gemini 3.6 Flash

08 of 53

86.6

Frontier answers at Flash speed, with a free tier you can actually build on.

FrontierFree tier

GPT-5.6 Luna

13 of 53

83.3

Frontier-family manners at a price that lets you stop counting tokens.

Small and fastPaid only

The four scores, side by side

ScoreGemini 3.6 FlashGPT-5.6 LunaDifference
Craft8779+8
Speed9092+2
Control8684+2
Value8490+6
Index score86.683.3+3.3

Which to pick

Pick Gemini 3.6 Flash unless Value is what decides it for you, which is exactly where GPT-5.6 Luna is the better answer.

Gemini 3.6 Flash

Google stopped treating Flash as the budget option and it shows: 3.6 answers quickly, reads images and video natively, and holds its own against models that cost several times more per token. The free tier is generous enough to prototype a real product against, which no other frontier lab currently matches. Steering is the weak spot, with less control exposed than the competition offers.

Where it shines

  • Genuinely fast for a model of this quality
  • Native video and image understanding, not a bolted-on adapter
  • Free tier is large enough to build a prototype against

GPT-5.6 Luna

Luna is the cheap end of the GPT-5.6 line and the most interesting one commercially: it keeps the family's million-token context and structured-output discipline while costing a small fraction of its siblings. For summarising, extraction, routing, and the long tail of small model calls a real product makes, it is hard to argue with. Push it into deep reasoning and the seams show quickly.

Where it shines

  • Very cheap for something carrying a frontier family's context window
  • Fast enough to sit in a user-facing request path
  • Same structured-output and tool-calling behaviour as its larger siblings