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VECTOR WIREAI INTELLIGENCE
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GPT-5.6 Luna vs Kimi K3

OpenAI · released

Wins 1 of 8 areas

Math

Moonshot · released

Wins 7 of 8 areas

Coding · Agents · Reasoning · Facts · Images and charts · Long documents · Following instructions

Kimi K3 is the stronger all-rounder.GPT-5.6 Luna is cheaper and better at math.

Scores updated · 48 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
Kimi K3$3.00 to read · $15.00 to write$18Price from Artificial Analysis

GPT-5.6 Luna costs 92% less for the same work.

The biggest differences

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

Where Kimi K3 pulls ahead

Where GPT-5.6 Luna pulls ahead

Every test, side by side

All 48 tests both models report. The winning score is in its model's colour; marks a score checked independently.

CodingKimi K3

Full coding ranking

AgentsKimi K3

Full agents ranking

ReasoningKimi K3

Full reasoning ranking

FactsKimi K3

Full facts ranking

Images and chartsKimi K3

Full images and charts ranking

MathGPT-5.6 Luna

Full math ranking

Long documentsKimi K3

Full long documents ranking

Following instructionsKimi K3

Full following instructions ranking

Other results18 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 Kimi K3?

Kimi K3 wins seven of the eight areas we test: coding, agents, reasoning, facts, images and charts, long documents and following instructions. GPT-5.6 Luna wins math, and costs 92% less.

Which is better for coding?

Kimi K3. It wins 4 of the 5 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; Kimi K3 costs $3.00 and $15.00. That makes GPT-5.6 Luna about 92% cheaper for the same work.

How do you compare the two?

We use the 48 benchmark tests both models have published scores on. The verdict counts the 30 tests in the eight capability areas, and a gap under one point (ten on rating-style scales) counts as a tie. The other 18 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.