Model comparison

GPT-6 Luna vs Kimi K2.7 Code

GPT-6 Luna is the stronger model overall, scoring 53.3 to 43.3 on the Noometry Index.

Last verified . 14 shared benchmarks.

GPT-6 Luna OpenAI

53.3

Rank #36 Confirmed

Kimi K2.7 Code Moonshot AI

43.3

Rank #94 Confirmed

Summary

  • They share 14 benchmarks with published results for both. GPT-6 Luna scores higher in 5 categories and Kimi K2.7 Code in 0 categories; 5 gaps are clear of the uncertainty.
  • The widest gap is in math, where GPT-6 Luna leads 76.1 to 52.9.
  • The biggest single-benchmark swing is FrontierMath Tier 4: 56.1% for GPT-6 Luna and 12.2% for Kimi K2.7 Code.
  • GPT-6 Luna is cheaper at $0.10 / $0.50 per million input/output tokens, against $0.95 / $4 for Kimi K2.7 Code.
  • GPT-6 Luna accepts more context: 1.05M tokens versus 262K.
  • Kimi K2.7 Code has downloadable open weights; the other is API-only.

Side by side

GPT-6 Luna and Kimi K2.7 Code specifications
GPT-6 LunaKimi K2.7 Code
ProviderOpenAIMoonshot AI
Noometry Index53.343.3
Released2026-09-222026-06-12
WeightsProprietaryOpen
Context window1.05M262K
Max output128K262K
Input $ / M tokens$0.10$0.95
Output $ / M tokens$0.50$4
Results tracked4219

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Category by category

Coding GPT-6 Luna leads

GPT-6 Luna: 55.5 (#25), Kimi K2.7 Code: 42.9 (#95)

Coding benchmarks
BenchmarkGPT-6 LunaKimi K2.7 Code
DeepSWE66.6%30.5%
FrontierCode42.4%30.1%
LMArena WebDev15811473
SciCode54.6%47.5%
ALE-Bench1,577886.23
WeirdML—54.1%
LMArena Coding1439—

Agentic & Tool Use GPT-6 Luna leads

GPT-6 Luna: 33.3 (#54), Kimi K2.7 Code: 24.0 (#122)

Agentic & Tool Use benchmarks
BenchmarkGPT-6 LunaKimi K2.7 Code
APEX-Agents44.3%37.6%
GBAEval—0.9%
GDP.pdf23%—
Vending-Bench 2—5,083

Reasoning GPT-6 Luna leads

GPT-6 Luna: 48.2 (#41), Kimi K2.7 Code: 39.0 (#61)

Reasoning benchmarks
BenchmarkGPT-6 LunaKimi K2.7 Code
CritPt19.4%10%
Chess Puzzles31%21%
Epoch Capabilities Index156.28149.97
ARC-AGI-259.3%—
SimpleBench—57.9%
NYT Connections (extended)68.7%—
ARC-AGI-186.7%—
LMArena Hard Prompts1411—
Mystery Game Puzzles7%—
DTBench90.1%—
LMCA44.5%—
Surface Evolver Bench—48.8%

Math GPT-6 Luna leads

GPT-6 Luna: 76.1 (#15), Kimi K2.7 Code: 52.9 (#48)

Math benchmarks
BenchmarkGPT-6 LunaKimi K2.7 Code
FrontierMath (Tiers 1-3)78.9%54%
FrontierMath Tier 456.1%12.2%
OTIS Mock AIME 2024-202598.9%95.6%
ProofBench64%—
LMArena Math1416—

Knowledge GPT-6 Luna leads

GPT-6 Luna: 57.0 (#41), Kimi K2.7 Code: 53.5 (#57)

Knowledge benchmarks
BenchmarkGPT-6 LunaKimi K2.7 Code
GPQA Diamond90.5%87.9%
SimpleQA Verified41.4%36.5%
LMArena Expert1444—

Multimodal Not comparable

GPT-6 Luna: 42.4 (#30), Kimi K2.7 Code: —

Multimodal benchmarks
BenchmarkGPT-6 LunaKimi K2.7 Code
LMArena Vision1217—
Blueprint-Bench 231.2%—
Furniture Assembly44.2%—

Multilingual Not comparable

GPT-6 Luna: 50.5 (#117), Kimi K2.7 Code: —

Multilingual benchmarks
BenchmarkGPT-6 LunaKimi K2.7 Code
LMArena Non-English1386—
LMArena Chinese1433—
LMArena French1420—
LMArena German1369—
LMArena Japanese1369—
LMArena Korean1360—
LMArena Russian1394—
LMArena Spanish1393—

Instruction Following Not comparable

GPT-6 Luna: 74.3 (#99), Kimi K2.7 Code: —

Instruction Following benchmarks
BenchmarkGPT-6 LunaKimi K2.7 Code
LMArena Instruction Following1409—

Long Context Not comparable

GPT-6 Luna: 43.0 (#111), Kimi K2.7 Code: —

Long Context benchmarks
BenchmarkGPT-6 LunaKimi K2.7 Code
LMArena Longer Query1409—

Writing & Preference Not comparable

GPT-6 Luna: 58.3 (#119), Kimi K2.7 Code: —

Writing & Preference benchmarks
BenchmarkGPT-6 LunaKimi K2.7 Code
LMArena Text1391—
LMArena Creative Writing1363—
LMArena Multi-Turn1396—

Frequently asked questions

Is GPT-6 Luna better than Kimi K2.7 Code?

GPT-6 Luna is the stronger model overall, scoring 53.3 to 43.3 on the Noometry Index.

Which is cheaper, GPT-6 Luna or Kimi K2.7 Code?

GPT-6 Luna is cheaper. It lists at $0.10 per million input tokens and $0.50 per million output tokens; Kimi K2.7 Code lists at $0.95 and $4.

Is GPT-6 Luna or Kimi K2.7 Code better for coding?

GPT-6 Luna scores higher on coding benchmarks: 55.5 versus 42.9 in the Noometry coding category.

Which has the bigger context window?

GPT-6 Luna does, with 1.05M tokens against 262K.

How many benchmarks do GPT-6 Luna and Kimi K2.7 Code share?

14 benchmarks have published results for both models. GPT-6 Luna has 42 scored results on Noometry and Kimi K2.7 Code has 19.

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