Model comparison
Gemma 2 9B vs GPT-6 Sol
GPT-6 Sol is the stronger model overall, scoring 61.8 to 25.9 on the Noometry Index.
Last verified . 21 shared benchmarks.
Summary
- They share 21 benchmarks with published results for both. Gemma 2 9B scores higher in 0 categories and GPT-6 Sol in 8 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in math, where GPT-6 Sol leads 87.2 to 9.9.
- The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 0.6% for Gemma 2 9B and 100% for GPT-6 Sol.
- Gemma 2 9B has downloadable open weights; the other is API-only.
Side by side
| Gemma 2 9B | GPT-6 Sol | |
|---|---|---|
| Provider | OpenAI | |
| Noometry Index | 25.9 | 61.8 |
| Released | 2024-06-24 | 2026-09-22 |
| Weights | Open | Proprietary |
| Context window | — | 1.05M |
| Max output | — | 128K |
| Input $ / M tokens | — | $2 |
| Output $ / M tokens | — | $10 |
| Results tracked | 35 | 45 |
Sponsored placements are available on pages like this one. Advertise on Noometry
Category by category
Coding GPT-6 Sol leads
Gemma 2 9B: 29.4 (#304), GPT-6 Sol: 60.1 (#11)
| Benchmark | Gemma 2 9B | GPT-6 Sol |
|---|---|---|
| LMArena Coding | 1173 | 1447 |
| DeepSWE | — | 68.8% |
| FrontierCode | — | 49.3% |
| LMArena WebDev | — | 1688 |
| SciCode | — | 57.6% |
| BigCodeBench Instruct | 34.7% | — |
| LiveBench Coding | 22.5% | — |
| BigCodeBench Complete | 40.6% | — |
| ALE-Bench | — | 2,462 |
Agentic & Tool Use Not comparable
Gemma 2 9B: —, GPT-6 Sol: 37.2 (#36)
| Benchmark | Gemma 2 9B | GPT-6 Sol |
|---|---|---|
| APEX-Agents | — | 54.3% |
| GDP.pdf | — | 26.4% |
| Vending-Bench 2 | — | 14,428 |
Reasoning GPT-6 Sol leads
Gemma 2 9B: 15.9 (#309), GPT-6 Sol: 74.0 (#9)
| Benchmark | Gemma 2 9B | GPT-6 Sol |
|---|---|---|
| LMArena Hard Prompts | 1171 | 1418 |
| Epoch Capabilities Index | 119.83 | 162.72 |
| ARC-AGI-2 | — | 89.6% |
| NYT Connections (extended) | — | 90.1% |
| ARC-AGI-1 | — | 95.5% |
| CritPt | — | 30.9% |
| EBR-Bench | — | 53.3% |
| LiveBench Reasoning | 15.2% | — |
| Mystery Game Puzzles | — | 56% |
| DTBench | — | 97.3% |
| LiveBench Data Analysis | 36.4% | — |
| LMCA | — | 59.1% |
| LiveBench | 28.7% | — |
| PIQA | 83.7% | — |
Math GPT-6 Sol leads
Gemma 2 9B: 9.9 (#318), GPT-6 Sol: 87.2 (#7)
| Benchmark | Gemma 2 9B | GPT-6 Sol |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 0.6% | 100% |
| LMArena Math | 1183 | 1402 |
| FrontierMath (Tiers 1-3) | — | 89.8% |
| FrontierMath Tier 4 | — | 90% |
| ProofBench | — | 83% |
| LiveBench Math | 19.8% | — |
| MATH Level 5 | 21% | — |
| GSM8K | 84.9% | — |
Knowledge GPT-6 Sol leads
Gemma 2 9B: 9.7 (#305), GPT-6 Sol: 64.8 (#15)
| Benchmark | Gemma 2 9B | GPT-6 Sol |
|---|---|---|
| GPQA Diamond | 27.5% | 94.3% |
| LMArena Expert | 1147 | 1439 |
| SimpleQA Verified | — | 60.7% |
| Vectara Hallucination Rate | — | 6.5% |
| BoolQ | 85.7% | — |
| MMLU | 72.1% | — |
Multimodal Not comparable
Gemma 2 9B: —, GPT-6 Sol: 47.6 (#10)
| Benchmark | Gemma 2 9B | GPT-6 Sol |
|---|---|---|
| LMArena Vision | — | 1245 |
| Blueprint-Bench 2 | — | 36.9% |
| Furniture Assembly | — | 58.3% |
Multilingual GPT-6 Sol leads
Gemma 2 9B: 36.6 (#238), GPT-6 Sol: 50.5 (#118)
| Benchmark | Gemma 2 9B | GPT-6 Sol |
|---|---|---|
| LMArena Non-English | 1188 | 1385 |
| LMArena Chinese | 1185 | 1405 |
| LMArena French | 1190 | 1410 |
| LMArena German | 1186 | 1390 |
| LMArena Japanese | 1144 | 1385 |
| LMArena Korean | 1137 | 1341 |
| LMArena Russian | 1200 | 1401 |
| LMArena Spanish | 1200 | 1384 |
Instruction Following GPT-6 Sol leads
Gemma 2 9B: 57.6 (#269), GPT-6 Sol: 74.5 (#94)
| Benchmark | Gemma 2 9B | GPT-6 Sol |
|---|---|---|
| LMArena Instruction Following | 1178 | 1412 |
| LiveBench Instruction Following | 52.6% | — |
Long Context GPT-6 Sol leads
Gemma 2 9B: 36.3 (#233), GPT-6 Sol: 43.1 (#108)
| Benchmark | Gemma 2 9B | GPT-6 Sol |
|---|---|---|
| LMArena Longer Query | 1197 | 1411 |
Writing & Preference GPT-6 Sol leads
Gemma 2 9B: 32.1 (#281), GPT-6 Sol: 71.9 (#18)
| Benchmark | Gemma 2 9B | GPT-6 Sol |
|---|---|---|
| LMArena Text | 1207 | 1395 |
| LMArena Creative Writing | 1206 | 1378 |
| EQ-Bench Creative Writing | 841 | 2125 |
| LMArena Multi-Turn | 1193 | 1412 |
| LiveBench Language | 25.5% | — |
Frequently asked questions
Is Gemma 2 9B better than GPT-6 Sol?
GPT-6 Sol is the stronger model overall, scoring 61.8 to 25.9 on the Noometry Index.
Is Gemma 2 9B or GPT-6 Sol better for coding?
GPT-6 Sol scores higher on coding benchmarks: 60.1 versus 29.4 in the Noometry coding category.
How many benchmarks do Gemma 2 9B and GPT-6 Sol share?
21 benchmarks have published results for both models. Gemma 2 9B has 35 scored results on Noometry and GPT-6 Sol has 45.