# Gemini 2.0 Flash-Lite vs GPT-6 Luna

> GPT-6 Luna is the stronger model overall, scoring 53.3 to 37.8 on the Noometry Index.

- Canonical page: https://noometry.com/compare/gemini-2-0-flash-lite-vs-gpt-6-luna
- Last updated: 2026-10-10
- Shared benchmarks: 19

## Summary

- They share 19 benchmarks with published results for both. Gemini 2.0 Flash-Lite scores higher in 0 categories and GPT-6 Luna in 9 categories; 9 gaps are clear of the uncertainty.
- The widest gap is in math, where GPT-6 Luna leads 76.1 to 34.1.
- The biggest single-benchmark swing is DTBench: 52.5% for Gemini 2.0 Flash-Lite and 90.1% for GPT-6 Luna.

## Snapshot

| | Gemini 2.0 Flash-Lite | GPT-6 Luna |
|---|---|---|
| Provider | Google | OpenAI |
| Noometry Index | 37.8 | 53.3 |
| Rank | 194 | 36 |
| Context | — | 1.05M |
| Input $/M | — | $0.10 |
| Output $/M | — | $0.50 |
| Weights | Proprietary | Proprietary |

## Coding

- Gemini 2.0 Flash-Lite: 37.9 (#185)
- GPT-6 Luna: 55.5 (#25)

| Benchmark | Gemini 2.0 Flash-Lite | GPT-6 Luna |
|---|---|---|
| LMArena Coding | 1322 | 1439 |
| DeepSWE | — | 66.6% |
| FrontierCode | — | 42.4% |
| LMArena WebDev | — | 1581 |
| SciCode | — | 54.6% |
| LiveBench Coding | 47.1% | — |
| ALE-Bench | — | 1,577 |

## Agentic & Tool Use

- Gemini 2.0 Flash-Lite: —
- GPT-6 Luna: 33.3 (#54)

| Benchmark | Gemini 2.0 Flash-Lite | GPT-6 Luna |
|---|---|---|
| APEX-Agents | — | 44.3% |
| GDP.pdf | — | 23% |

## Reasoning

- Gemini 2.0 Flash-Lite: 22.0 (#210)
- GPT-6 Luna: 48.2 (#41)

| Benchmark | Gemini 2.0 Flash-Lite | GPT-6 Luna |
|---|---|---|
| LMArena Hard Prompts | 1324 | 1411 |
| DTBench | 52.5% | 90.1% |
| ARC-AGI-2 | — | 59.3% |
| NYT Connections (extended) | — | 68.7% |
| ARC-AGI-1 | — | 86.7% |
| CritPt | — | 19.4% |
| Chess Puzzles | — | 31% |
| LiveBench Reasoning | 50.1% | — |
| Mystery Game Puzzles | — | 7% |
| LiveBench Data Analysis | 65.5% | — |
| LMCA | — | 44.5% |
| Epoch Capabilities Index | — | 156.28 |
| ForecastBench | 57.1 | — |
| LiveBench | 54.3% | — |

## Math

- Gemini 2.0 Flash-Lite: 34.1 (#196)
- GPT-6 Luna: 76.1 (#15)

| Benchmark | Gemini 2.0 Flash-Lite | GPT-6 Luna |
|---|---|---|
| LMArena Math | 1309 | 1416 |
| FrontierMath (Tiers 1-3) | — | 78.9% |
| FrontierMath Tier 4 | — | 56.1% |
| OTIS Mock AIME 2024-2025 | — | 98.9% |
| ProofBench | — | 64% |
| Omni-MATH | 37.4% | — |
| LiveBench Math | 58.1% | — |

## Knowledge

- Gemini 2.0 Flash-Lite: 35.0 (#189)
- GPT-6 Luna: 57.0 (#41)

| Benchmark | Gemini 2.0 Flash-Lite | GPT-6 Luna |
|---|---|---|
| LMArena Expert | 1305 | 1444 |
| GPQA Diamond | — | 90.5% |
| SimpleQA Verified | — | 41.4% |
| MMLU-Pro | 72% | — |
| GPQA (HELM) | 50% | — |

## Multimodal

- Gemini 2.0 Flash-Lite: 31.2 (#109)
- GPT-6 Luna: 42.4 (#30)

| Benchmark | Gemini 2.0 Flash-Lite | GPT-6 Luna |
|---|---|---|
| LMArena Vision | 1100 | 1217 |
| Blueprint-Bench 2 | — | 31.2% |
| Furniture Assembly | — | 44.2% |

## Multilingual

- Gemini 2.0 Flash-Lite: 46.0 (#161)
- GPT-6 Luna: 50.5 (#117)

| Benchmark | Gemini 2.0 Flash-Lite | GPT-6 Luna |
|---|---|---|
| LMArena Non-English | 1323 | 1386 |
| LMArena Chinese | 1339 | 1433 |
| LMArena French | 1347 | 1420 |
| LMArena German | 1306 | 1369 |
| LMArena Japanese | 1301 | 1369 |
| LMArena Korean | 1325 | 1360 |
| LMArena Russian | 1328 | 1394 |
| LMArena Spanish | 1313 | 1393 |

## Instruction Following

- Gemini 2.0 Flash-Lite: 70.4 (#163)
- GPT-6 Luna: 74.3 (#99)

| Benchmark | Gemini 2.0 Flash-Lite | GPT-6 Luna |
|---|---|---|
| LMArena Instruction Following | 1305 | 1409 |
| LiveBench Instruction Following | 78.3% | — |
| IFEval | 82.4% | — |

## Long Context

- Gemini 2.0 Flash-Lite: 40.1 (#160)
- GPT-6 Luna: 43.0 (#111)

| Benchmark | Gemini 2.0 Flash-Lite | GPT-6 Luna |
|---|---|---|
| LMArena Longer Query | 1320 | 1409 |

## Writing & Preference

- Gemini 2.0 Flash-Lite: 51.7 (#177)
- GPT-6 Luna: 58.3 (#119)

| Benchmark | Gemini 2.0 Flash-Lite | GPT-6 Luna |
|---|---|---|
| LMArena Text | 1330 | 1391 |
| LMArena Creative Writing | 1319 | 1363 |
| LMArena Multi-Turn | 1307 | 1396 |
| WildBench | 79% | — |
| LiveBench Language | 34.3% | — |

## FAQ

### Is Gemini 2.0 Flash-Lite better than GPT-6 Luna?

GPT-6 Luna is the stronger model overall, scoring 53.3 to 37.8 on the Noometry Index.

### Is Gemini 2.0 Flash-Lite or GPT-6 Luna better for coding?

GPT-6 Luna scores higher on coding benchmarks: 55.5 versus 37.9 in the Noometry coding category.

### How many benchmarks do Gemini 2.0 Flash-Lite and GPT-6 Luna share?

19 benchmarks have published results for both models. Gemini 2.0 Flash-Lite has 32 scored results on Noometry and GPT-6 Luna has 42.