Noometry

Model comparison

Gemini 3.6 Flash vs GPT-6 Luna

Gemini 3.6 Flash is the stronger model overall, scoring 54.1 to 45.1 on the Noometry Index. GPT-6 Luna costs 7.5× less per token, which makes it the better buy when Gemini 3.6 Flash's lead doesn't matter for your workload.

Last verified . 18 shared benchmarks.

Gemini 3.6 Flash Google

54.1

Rank #30 Confirmed

GPT-6 Luna OpenAI

45.1

Rank #65 Confirmed

Summary

  • They share 18 benchmarks with published results for both. Gemini 3.6 Flash scores higher in 7 categories and GPT-6 Luna in 2 categories; 9 gaps are clear of the uncertainty.
  • The widest gap is in knowledge, where Gemini 3.6 Flash leads 67.8 to 40.1.
  • The biggest single-benchmark swing is Furniture Assembly: 23.3% for Gemini 3.6 Flash and 44.2% for GPT-6 Luna.
  • GPT-6 Luna is cheaper at $0.10 / $0.50 per million input/output tokens, against $0.75 / $3.75 for Gemini 3.6 Flash.
  • GPT-6 Luna accepts more context: 1.05M tokens versus 1.05M.

Side by side

Gemini 3.6 FlashGPT-6 Luna
ProviderGoogleOpenAI
Noometry Index54.145.1
Released2026-07-212026-09-22
WeightsProprietaryProprietary
Context window1.05M1.05M
Max output66K128K
Input $ / M tokens$0.75$0.10
Output $ / M tokens$3.75$0.50
Results tracked4618

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Category by category

Coding GPT-6 Luna leads

Gemini 3.6 Flash: 49.6 (#45), GPT-6 Luna: 54.7 (#24)

BenchmarkGemini 3.6 FlashGPT-6 Luna
DeepSWE46.7%66.6%
FrontierCode34.4%42.4%
LMArena WebDev15361583
LMArena Coding14921448
SciCode52.7%—
WeirdML56.1%—
ALE-Bench715.52—

Agentic & Tool Use Not comparable

Gemini 3.6 Flash: 32.4 (#56), GPT-6 Luna: —

BenchmarkGemini 3.6 FlashGPT-6 Luna
APEX-Agents46.9%—
GDP.pdf14%—

Reasoning Gemini 3.6 Flash leads

Gemini 3.6 Flash: 58.9 (#20), GPT-6 Luna: 31.7 (#68)

BenchmarkGemini 3.6 FlashGPT-6 Luna
NYT Connections (extended)89%68.7%
LMArena Hard Prompts14861415
ARC-AGI-260.4%—
ARC-AGI-191.2%—
CritPt10.6%—
Chess Puzzles43%—
Mystery Game Puzzles30%—
DTBench95.5%—
LMCA44.9%—
Epoch Capabilities Index154.36—

Math Gemini 3.6 Flash leads

Gemini 3.6 Flash: 57.0 (#33), GPT-6 Luna: 35.6 (#140)

BenchmarkGemini 3.6 FlashGPT-6 Luna
LMArena Math15041396
FrontierMath (Tiers 1-3)58.9%—
FrontierMath Tier 422%—
MathArena Final-Answer Competitions70.8%—
OTIS Mock AIME 2024-202594.2%—
ProofBench36%—

Knowledge Gemini 3.6 Flash leads

Gemini 3.6 Flash: 67.8 (#7), GPT-6 Luna: 40.1 (#110)

BenchmarkGemini 3.6 FlashGPT-6 Luna
LMArena Expert14891458
GPQA Diamond94.1%—
SimpleQA Verified66.2%—

Multimodal GPT-6 Luna leads

Gemini 3.6 Flash: 38.7 (#55), GPT-6 Luna: 42.0 (#27)

BenchmarkGemini 3.6 FlashGPT-6 Luna
Furniture Assembly23.3%44.2%
LMArena Vision1297—
Blueprint-Bench 231.2%—
LMArena Document1456—

Multilingual Gemini 3.6 Flash leads

Gemini 3.6 Flash: 56.8 (#17), GPT-6 Luna: 51.0 (#111)

BenchmarkGemini 3.6 FlashGPT-6 Luna
LMArena Non-English14701390
LMArena Chinese15301425
LMArena Russian14901392
LMArena Spanish14771416
LMArena French1501—
LMArena German1478—
LMArena Japanese1477—
LMArena Korean1435—

Instruction Following Gemini 3.6 Flash leads

Gemini 3.6 Flash: 77.2 (#27), GPT-6 Luna: 74.7 (#85)

BenchmarkGemini 3.6 FlashGPT-6 Luna
LMArena Instruction Following14671414

Long Context Gemini 3.6 Flash leads

Gemini 3.6 Flash: 45.1 (#47), GPT-6 Luna: 43.3 (#95)

BenchmarkGemini 3.6 FlashGPT-6 Luna
LMArena Longer Query14751417

Writing & Preference Gemini 3.6 Flash leads

Gemini 3.6 Flash: 68.3 (#26), GPT-6 Luna: 58.4 (#115)

BenchmarkGemini 3.6 FlashGPT-6 Luna
LMArena Text14781392
LMArena Creative Writing14641357
LMArena Multi-Turn14811400
EQ-Bench Creative Writing1604—

Frequently asked questions

Is Gemini 3.6 Flash better than GPT-6 Luna?

Gemini 3.6 Flash is the stronger model overall, scoring 54.1 to 45.1 on the Noometry Index. GPT-6 Luna costs 7.5× less per token, which makes it the better buy when Gemini 3.6 Flash's lead doesn't matter for your workload.

Which is cheaper, Gemini 3.6 Flash or GPT-6 Luna?

GPT-6 Luna is cheaper. It lists at $0.10 per million input tokens and $0.50 per million output tokens; Gemini 3.6 Flash lists at $0.75 and $3.75.

Is Gemini 3.6 Flash or GPT-6 Luna better for coding?

GPT-6 Luna scores higher on coding benchmarks: 54.7 versus 49.6 in the Noometry coding category.

Which has the bigger context window?

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

How many benchmarks do Gemini 3.6 Flash and GPT-6 Luna share?

18 benchmarks have published results for both models. Gemini 3.6 Flash has 46 scored results on Noometry and GPT-6 Luna has 18.

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