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VECTOR WIREAI INTELLIGENCE
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GPT-5.6 Luna vs GPT-6 Luna

OpenAI · released

Wins 3 of 8 areas

Reasoning · Math · Following instructions

OpenAI · released

Wins 2 of 8 areas

Coding · Facts

GPT-5.6 Luna wins more areas, narrowly.GPT-6 Luna is cheaper and better at coding.

Scores updated · 37 tests both models report · How we compare

What it costs

Prices per million tokens, roughly 750,000 words. The bars show the cost of a million tokens read plus a million written.

GPT-5.6 Luna$0.20 to read · $1.20 to write$1.40Price from Artificial Analysis
GPT-6 Luna$0.10 to read · $0.50 to write$0.60Price from Artificial Analysis

GPT-6 Luna costs 57% less for the same work.

The biggest differences

The three tests each model wins by the widest margin. Scores are out of 100.

Where GPT-5.6 Luna pulls ahead

Where GPT-6 Luna pulls ahead

Every test, side by side

All 37 tests both models report. The winning score is in its model's colour; marks a score checked independently.

CodingGPT-6 Luna

Full coding ranking

AgentsEven
  • GDPValGPT-5.6 Luna by 1.44846.6+1.4
  • Terminal-Bench 4.0GPT-6 Luna by 111.612.6+1

Full agents ranking

ReasoningGPT-5.6 Luna

Full reasoning ranking

FactsGPT-6 Luna

Full facts ranking

Images and chartsEven

Full images and charts ranking

MathGPT-5.6 Luna

Full math ranking

Long documentsEven

Full long documents ranking

Following instructionsGPT-5.6 Luna

Full following instructions ranking

Other results16 tests, not counted

Tests outside the eight areas. They are not counted above: several are summary scores built from other tests, or the same test under another name.

Questions people ask

Which is better, GPT-5.6 Luna or GPT-6 Luna?

GPT-5.6 Luna wins three of the eight areas we test: reasoning, math and following instructions. GPT-6 Luna wins coding and facts, and costs 57% less. They are level on agents, images and charts and long documents.

Which is better for coding?

GPT-6 Luna. It wins 3 of the 4 coding tests both models report; GPT-5.6 Luna wins 1.

Which is cheaper?

GPT-5.6 Luna costs $0.20 per million input tokens and $1.20 per million output tokens; GPT-6 Luna costs $0.10 and $0.50. That makes GPT-6 Luna about 57% cheaper for the same work.

How do you compare the two?

We use the 37 benchmark tests both models have published scores on. The verdict counts the 21 tests in the eight capability areas, and a gap under one point (ten on rating-style scales) counts as a tie. The other 16 are listed but not counted, because several are summary scores or repeat a test. Each score is the one shown on the model's own page.