Model comparison
Gemma 2 9B vs GPT-6 Luna
GPT-6 Luna is the stronger model overall, scoring 53.3 to 25.9 on the Noometry Index.
Last verified . 20 shared benchmarks.
Summary
- They share 20 benchmarks with published results for both. Gemma 2 9B scores higher in 0 categories and GPT-6 Luna in 8 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in math, where GPT-6 Luna leads 76.1 to 9.9.
- The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 0.6% for Gemma 2 9B and 98.9% for GPT-6 Luna.
- Gemma 2 9B has downloadable open weights; the other is API-only.
Side by side
| Gemma 2 9B | GPT-6 Luna | |
|---|---|---|
| Provider | OpenAI | |
| Noometry Index | 25.9 | 53.3 |
| Released | 2024-06-24 | 2026-09-22 |
| Weights | Open | Proprietary |
| Context window | — | 1.05M |
| Max output | — | 128K |
| Input $ / M tokens | — | $0.10 |
| Output $ / M tokens | — | $0.50 |
| Results tracked | 35 | 42 |
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Category by category
Coding GPT-6 Luna leads
Gemma 2 9B: 29.4 (#304), GPT-6 Luna: 55.5 (#25)
| Benchmark | Gemma 2 9B | GPT-6 Luna |
|---|---|---|
| LMArena Coding | 1173 | 1439 |
| DeepSWE | — | 66.6% |
| FrontierCode | — | 42.4% |
| LMArena WebDev | — | 1581 |
| SciCode | — | 54.6% |
| BigCodeBench Instruct | 34.7% | — |
| LiveBench Coding | 22.5% | — |
| BigCodeBench Complete | 40.6% | — |
| ALE-Bench | — | 1,577 |
Agentic & Tool Use Not comparable
Gemma 2 9B: —, GPT-6 Luna: 33.3 (#54)
| Benchmark | Gemma 2 9B | GPT-6 Luna |
|---|---|---|
| APEX-Agents | — | 44.3% |
| GDP.pdf | — | 23% |
Reasoning GPT-6 Luna leads
Gemma 2 9B: 15.9 (#309), GPT-6 Luna: 48.2 (#41)
| Benchmark | Gemma 2 9B | GPT-6 Luna |
|---|---|---|
| LMArena Hard Prompts | 1171 | 1411 |
| Epoch Capabilities Index | 119.83 | 156.28 |
| ARC-AGI-2 | — | 59.3% |
| NYT Connections (extended) | — | 68.7% |
| ARC-AGI-1 | — | 86.7% |
| CritPt | — | 19.4% |
| Chess Puzzles | — | 31% |
| LiveBench Reasoning | 15.2% | — |
| Mystery Game Puzzles | — | 7% |
| DTBench | — | 90.1% |
| LiveBench Data Analysis | 36.4% | — |
| LMCA | — | 44.5% |
| LiveBench | 28.7% | — |
| PIQA | 83.7% | — |
Math GPT-6 Luna leads
Gemma 2 9B: 9.9 (#318), GPT-6 Luna: 76.1 (#15)
| Benchmark | Gemma 2 9B | GPT-6 Luna |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 0.6% | 98.9% |
| LMArena Math | 1183 | 1416 |
| FrontierMath (Tiers 1-3) | — | 78.9% |
| FrontierMath Tier 4 | — | 56.1% |
| ProofBench | — | 64% |
| LiveBench Math | 19.8% | — |
| MATH Level 5 | 21% | — |
| GSM8K | 84.9% | — |
Knowledge GPT-6 Luna leads
Gemma 2 9B: 9.7 (#305), GPT-6 Luna: 57.0 (#41)
| Benchmark | Gemma 2 9B | GPT-6 Luna |
|---|---|---|
| GPQA Diamond | 27.5% | 90.5% |
| LMArena Expert | 1147 | 1444 |
| SimpleQA Verified | — | 41.4% |
| BoolQ | 85.7% | — |
| MMLU | 72.1% | — |
Multimodal Not comparable
Gemma 2 9B: —, GPT-6 Luna: 42.4 (#30)
| Benchmark | Gemma 2 9B | GPT-6 Luna |
|---|---|---|
| LMArena Vision | — | 1217 |
| Blueprint-Bench 2 | — | 31.2% |
| Furniture Assembly | — | 44.2% |
Multilingual GPT-6 Luna leads
Gemma 2 9B: 36.6 (#238), GPT-6 Luna: 50.5 (#117)
| Benchmark | Gemma 2 9B | GPT-6 Luna |
|---|---|---|
| LMArena Non-English | 1188 | 1386 |
| LMArena Chinese | 1185 | 1433 |
| LMArena French | 1190 | 1420 |
| LMArena German | 1186 | 1369 |
| LMArena Japanese | 1144 | 1369 |
| LMArena Korean | 1137 | 1360 |
| LMArena Russian | 1200 | 1394 |
| LMArena Spanish | 1200 | 1393 |
Instruction Following GPT-6 Luna leads
Gemma 2 9B: 57.6 (#269), GPT-6 Luna: 74.3 (#99)
| Benchmark | Gemma 2 9B | GPT-6 Luna |
|---|---|---|
| LMArena Instruction Following | 1178 | 1409 |
| LiveBench Instruction Following | 52.6% | — |
Long Context GPT-6 Luna leads
Gemma 2 9B: 36.3 (#233), GPT-6 Luna: 43.0 (#111)
| Benchmark | Gemma 2 9B | GPT-6 Luna |
|---|---|---|
| LMArena Longer Query | 1197 | 1409 |
Writing & Preference GPT-6 Luna leads
Gemma 2 9B: 32.1 (#281), GPT-6 Luna: 58.3 (#119)
| Benchmark | Gemma 2 9B | GPT-6 Luna |
|---|---|---|
| LMArena Text | 1207 | 1391 |
| LMArena Creative Writing | 1206 | 1363 |
| LMArena Multi-Turn | 1193 | 1396 |
| EQ-Bench Creative Writing | 841 | — |
| LiveBench Language | 25.5% | — |
Frequently asked questions
Is Gemma 2 9B better than GPT-6 Luna?
GPT-6 Luna is the stronger model overall, scoring 53.3 to 25.9 on the Noometry Index.
Is Gemma 2 9B or GPT-6 Luna better for coding?
GPT-6 Luna scores higher on coding benchmarks: 55.5 versus 29.4 in the Noometry coding category.
How many benchmarks do Gemma 2 9B and GPT-6 Luna share?
20 benchmarks have published results for both models. Gemma 2 9B has 35 scored results on Noometry and GPT-6 Luna has 42.