# Gemini 3.6 Flash vs GPT-6 Luna

> Gemini 3.6 Flash and GPT-6 Luna score almost the same on the Noometry Index (54.1 vs 53.3), so choose on price, context window or the category you care about most.

- Canonical page: https://noometry.com/compare/gemini-3-6-flash-vs-gpt-6-luna
- Last updated: 2026-10-12
- Shared benchmarks: 42

## Summary

- They share 42 benchmarks with published results for both. Gemini 3.6 Flash scores higher in 6 categories and GPT-6 Luna in 4 categories; 9 gaps are clear of the uncertainty.
- The widest gap is in math, where GPT-6 Luna leads 76.1 to 57.3.
- The biggest single-benchmark swing is FrontierMath Tier 4: 22% for Gemini 3.6 Flash and 56.1% 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.

## Snapshot

| | Gemini 3.6 Flash | GPT-6 Luna |
|---|---|---|
| Provider | Google | OpenAI |
| Noometry Index | 54.1 | 53.3 |
| Rank | 33 | 36 |
| Context | 1.05M | 1.05M |
| Input $/M | $0.75 | $0.10 |
| Output $/M | $3.75 | $0.50 |
| Weights | Proprietary | Proprietary |

## Coding

- Gemini 3.6 Flash: 50.0 (#48)
- GPT-6 Luna: 55.5 (#25)

| Benchmark | Gemini 3.6 Flash | GPT-6 Luna |
|---|---|---|
| DeepSWE | 46.7% | 66.6% |
| FrontierCode | 34.4% | 42.4% |
| LMArena WebDev | 1538 | 1581 |
| SciCode | 52.7% | 54.6% |
| LMArena Coding | 1491 | 1439 |
| ALE-Bench | 715.52 | 1,577 |
| WeirdML | 56.1% | — |

## Agentic & Tool Use

- Gemini 3.6 Flash: 32.3 (#65)
- GPT-6 Luna: 33.3 (#54)

| Benchmark | Gemini 3.6 Flash | GPT-6 Luna |
|---|---|---|
| APEX-Agents | 46.9% | 44.3% |
| GDP.pdf | 14% | 23% |

## Reasoning

- Gemini 3.6 Flash: 58.8 (#22)
- GPT-6 Luna: 48.2 (#41)

| Benchmark | Gemini 3.6 Flash | GPT-6 Luna |
|---|---|---|
| ARC-AGI-2 | 60.4% | 59.3% |
| NYT Connections (extended) | 89% | 68.7% |
| ARC-AGI-1 | 91.2% | 86.7% |
| CritPt | 10.6% | 19.4% |
| Chess Puzzles | 43% | 31% |
| LMArena Hard Prompts | 1485 | 1411 |
| Mystery Game Puzzles | 30% | 7% |
| DTBench | 95.5% | 90.1% |
| LMCA | 44.9% | 44.5% |
| Epoch Capabilities Index | 154.25 | 156.28 |

## Math

- Gemini 3.6 Flash: 57.3 (#40)
- GPT-6 Luna: 76.1 (#15)

| Benchmark | Gemini 3.6 Flash | GPT-6 Luna |
|---|---|---|
| FrontierMath (Tiers 1-3) | 58.9% | 78.9% |
| FrontierMath Tier 4 | 22% | 56.1% |
| OTIS Mock AIME 2024-2025 | 94.2% | 98.9% |
| ProofBench | 36% | 64% |
| LMArena Math | 1505 | 1416 |
| MathArena Final-Answer Competitions | 70.8% | — |

## Knowledge

- Gemini 3.6 Flash: 67.8 (#8)
- GPT-6 Luna: 57.0 (#41)

| Benchmark | Gemini 3.6 Flash | GPT-6 Luna |
|---|---|---|
| GPQA Diamond | 94.1% | 90.5% |
| SimpleQA Verified | 66.2% | 41.4% |
| LMArena Expert | 1488 | 1444 |

## Multimodal

- Gemini 3.6 Flash: 38.5 (#64)
- GPT-6 Luna: 42.4 (#30)

| Benchmark | Gemini 3.6 Flash | GPT-6 Luna |
|---|---|---|
| LMArena Vision | 1298 | 1217 |
| Blueprint-Bench 2 | 31.2% | 31.2% |
| Furniture Assembly | 23.3% | 44.2% |
| LMArena Document | 1456 | — |

## Multilingual

- Gemini 3.6 Flash: 56.5 (#19)
- GPT-6 Luna: 50.5 (#117)

| Benchmark | Gemini 3.6 Flash | GPT-6 Luna |
|---|---|---|
| LMArena Non-English | 1469 | 1386 |
| LMArena Chinese | 1531 | 1433 |
| LMArena French | 1504 | 1420 |
| LMArena German | 1478 | 1369 |
| LMArena Japanese | 1476 | 1369 |
| LMArena Korean | 1431 | 1360 |
| LMArena Russian | 1487 | 1394 |
| LMArena Spanish | 1475 | 1393 |

## Instruction Following

- Gemini 3.6 Flash: 77.0 (#33)
- GPT-6 Luna: 74.3 (#99)

| Benchmark | Gemini 3.6 Flash | GPT-6 Luna |
|---|---|---|
| LMArena Instruction Following | 1466 | 1409 |

## Long Context

- Gemini 3.6 Flash: 45.1 (#50)
- GPT-6 Luna: 43.0 (#111)

| Benchmark | Gemini 3.6 Flash | GPT-6 Luna |
|---|---|---|
| LMArena Longer Query | 1474 | 1409 |

## Writing & Preference

- Gemini 3.6 Flash: 68.2 (#27)
- GPT-6 Luna: 58.3 (#119)

| Benchmark | Gemini 3.6 Flash | GPT-6 Luna |
|---|---|---|
| LMArena Text | 1479 | 1391 |
| LMArena Creative Writing | 1465 | 1363 |
| LMArena Multi-Turn | 1481 | 1396 |
| EQ-Bench Creative Writing | 1604 | — |

## FAQ

### Is Gemini 3.6 Flash better than GPT-6 Luna?

Gemini 3.6 Flash and GPT-6 Luna score almost the same on the Noometry Index (54.1 vs 53.3), so choose on price, context window or the category you care about most.

### 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: 55.5 versus 50.0 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?

42 benchmarks have published results for both models. Gemini 3.6 Flash has 46 scored results on Noometry and GPT-6 Luna has 42.