Model comparison
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.
Last verified . 19 shared benchmarks.
GoogleSummary
- 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.
Side by side
| Gemini 2.0 Flash-Lite | GPT-6 Luna | |
|---|---|---|
| Provider | OpenAI | |
| Noometry Index | 37.8 | 53.3 |
| Released | 2025-02-05 | 2026-09-22 |
| Weights | Proprietary | Proprietary |
| Context window | — | 1.05M |
| Max output | — | 128K |
| Input $ / M tokens | — | $0.10 |
| Output $ / M tokens | — | $0.50 |
| Results tracked | 32 | 42 |
Sponsored placements are available on pages like this one. Advertise on Noometry
Category by category
Coding GPT-6 Luna leads
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 Not comparable
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 GPT-6 Luna leads
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 GPT-6 Luna leads
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 GPT-6 Luna leads
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 GPT-6 Luna leads
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 GPT-6 Luna leads
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 GPT-6 Luna leads
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 GPT-6 Luna leads
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 GPT-6 Luna leads
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% | — |
Frequently asked questions
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.