Model comparison
Gemma 2 9B vs GPT-6.1 Sol
GPT-6.1 Sol is the stronger model overall, scoring 65.6 to 25.9 on the Noometry Index.
Last verified . 15 shared benchmarks.
Summary
- They share 15 benchmarks with published results for both. Gemma 2 9B scores higher in 0 categories and GPT-6.1 Sol in 8 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in math, where GPT-6.1 Sol leads 93.7 to 9.9.
- The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 0.6% for Gemma 2 9B and 100% for GPT-6.1 Sol.
- Gemma 2 9B has downloadable open weights; the other is API-only.
Side by side
| Gemma 2 9B | GPT-6.1 Sol | |
|---|---|---|
| Provider | OpenAI | |
| Noometry Index | 25.9 | 65.6 |
| Released | 2024-06-24 | 2026-09-29 |
| Weights | Open | Proprietary |
| Context window | — | 1.05M |
| Max output | — | 128K |
| Input $ / M tokens | — | $2 |
| Output $ / M tokens | — | $10 |
| Results tracked | 35 | 34 |
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Category by category
Coding GPT-6.1 Sol leads
Gemma 2 9B: 29.4 (#304), GPT-6.1 Sol: 63.2 (#8)
| Benchmark | Gemma 2 9B | GPT-6.1 Sol |
|---|---|---|
| LMArena Coding | 1173 | 1487 |
| DeepSWE | — | 75.2% |
| FrontierCode | — | 50.2% |
| LMArena WebDev | — | 1755 |
| SciCode | — | 55.8% |
| BigCodeBench Instruct | 34.7% | — |
| LiveBench Coding | 22.5% | — |
| BigCodeBench Complete | 40.6% | — |
Agentic & Tool Use Not comparable
Gemma 2 9B: —, GPT-6.1 Sol: 39.6 (#26)
| Benchmark | Gemma 2 9B | GPT-6.1 Sol |
|---|---|---|
| APEX-Agents | — | 60% |
| GDP.pdf | — | 32% |
Reasoning GPT-6.1 Sol leads
Gemma 2 9B: 15.9 (#309), GPT-6.1 Sol: 81.9 (#2)
| Benchmark | Gemma 2 9B | GPT-6.1 Sol |
|---|---|---|
| LMArena Hard Prompts | 1171 | 1466 |
| Epoch Capabilities Index | 119.83 | 166.09 |
| ARC-AGI-2 | — | 94.2% |
| NYT Connections (extended) | — | 95.5% |
| ARC-AGI-1 | — | 98.5% |
| CritPt | — | 31.7% |
| Chess Puzzles | — | 61% |
| EBR-Bench | — | 54.3% |
| LiveBench Reasoning | 15.2% | — |
| Mystery Game Puzzles | — | 80% |
| LiveBench Data Analysis | 36.4% | — |
| LiveBench | 28.7% | — |
| PIQA | 83.7% | — |
Math GPT-6.1 Sol leads
Gemma 2 9B: 9.9 (#318), GPT-6.1 Sol: 93.7 (#1)
| Benchmark | Gemma 2 9B | GPT-6.1 Sol |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 0.6% | 100% |
| LMArena Math | 1183 | 1464 |
| FrontierMath (Tiers 1-3) | — | 93.7% |
| FrontierMath Tier 4 | — | 100% |
| ProofBench | — | 99% |
| LiveBench Math | 19.8% | — |
| MATH Level 5 | 21% | — |
| GSM8K | 84.9% | — |
Knowledge GPT-6.1 Sol leads
Gemma 2 9B: 9.7 (#305), GPT-6.1 Sol: 71.8 (#4)
| Benchmark | Gemma 2 9B | GPT-6.1 Sol |
|---|---|---|
| GPQA Diamond | 27.5% | 95.4% |
| LMArena Expert | 1147 | 1502 |
| SimpleQA Verified | — | 73.9% |
| BoolQ | 85.7% | — |
| MMLU | 72.1% | — |
Multimodal Not comparable
Gemma 2 9B: —, GPT-6.1 Sol: 52.7 (#5)
| Benchmark | Gemma 2 9B | GPT-6.1 Sol |
|---|---|---|
| LMArena Vision | — | 1288 |
| Furniture Assembly | — | 80% |
Multilingual GPT-6.1 Sol leads
Gemma 2 9B: 36.6 (#238), GPT-6.1 Sol: 54.3 (#46)
| Benchmark | Gemma 2 9B | GPT-6.1 Sol |
|---|---|---|
| LMArena Non-English | 1188 | 1438 |
| LMArena Chinese | 1185 | 1477 |
| LMArena Russian | 1200 | 1455 |
| LMArena French | 1190 | — |
| LMArena German | 1186 | — |
| LMArena Japanese | 1144 | — |
| LMArena Korean | 1137 | — |
| LMArena Spanish | 1200 | — |
Instruction Following GPT-6.1 Sol leads
Gemma 2 9B: 57.6 (#269), GPT-6.1 Sol: 77.0 (#29)
| Benchmark | Gemma 2 9B | GPT-6.1 Sol |
|---|---|---|
| LMArena Instruction Following | 1178 | 1468 |
| LiveBench Instruction Following | 52.6% | — |
Long Context GPT-6.1 Sol leads
Gemma 2 9B: 36.3 (#233), GPT-6.1 Sol: 44.9 (#54)
| Benchmark | Gemma 2 9B | GPT-6.1 Sol |
|---|---|---|
| LMArena Longer Query | 1197 | 1465 |
Writing & Preference GPT-6.1 Sol leads
Gemma 2 9B: 32.1 (#281), GPT-6.1 Sol: 63.6 (#63)
| Benchmark | Gemma 2 9B | GPT-6.1 Sol |
|---|---|---|
| LMArena Text | 1207 | 1447 |
| LMArena Creative Writing | 1206 | 1432 |
| LMArena Multi-Turn | 1193 | 1449 |
| EQ-Bench Creative Writing | 841 | — |
| LiveBench Language | 25.5% | — |
Frequently asked questions
Is Gemma 2 9B better than GPT-6.1 Sol?
GPT-6.1 Sol is the stronger model overall, scoring 65.6 to 25.9 on the Noometry Index.
Is Gemma 2 9B or GPT-6.1 Sol better for coding?
GPT-6.1 Sol scores higher on coding benchmarks: 63.2 versus 29.4 in the Noometry coding category.
How many benchmarks do Gemma 2 9B and GPT-6.1 Sol share?
15 benchmarks have published results for both models. Gemma 2 9B has 35 scored results on Noometry and GPT-6.1 Sol has 34.