Model comparison
Gemma 3 12B vs GPT-6 Sol
GPT-6 Sol is the stronger model overall, scoring 49.2 to 31.8 on the Noometry Index. Gemma 3 12B costs 53× less per token, which makes it the better buy when GPT-6 Sol's lead doesn't matter for your workload.
Last verified . 13 shared benchmarks.
Summary
- They share 13 benchmarks with published results for both. Gemma 3 12B scores higher in 0 categories and GPT-6 Sol in 9 categories; 9 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where GPT-6 Sol leads 49.3 to 15.2.
- Gemma 3 12B is cheaper at $0.05 / $0.15 per million input/output tokens, against $2 / $10 for GPT-6 Sol.
- GPT-6 Sol accepts more context: 1.05M tokens versus 131K.
- Gemma 3 12B has downloadable open weights; the other is API-only.
Side by side
| Gemma 3 12B | GPT-6 Sol | |
|---|---|---|
| Provider | OpenAI | |
| Noometry Index | 31.8 | 49.2 |
| Released | 2025-03-12 | 2026-09-22 |
| Weights | Open | Proprietary |
| Context window | 131K | 1.05M |
| Max output | 8K | 128K |
| Input $ / M tokens | $0.05 | $2 |
| Output $ / M tokens | $0.15 | $10 |
| Results tracked | 24 | 22 |
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Category by category
Coding GPT-6 Sol leads
Gemma 3 12B: 31.2 (#276), GPT-6 Sol: 59.6 (#11)
| Benchmark | Gemma 3 12B | GPT-6 Sol |
|---|---|---|
| LMArena Coding | 1281 | 1453 |
| DeepSWE | — | 68.8% |
| FrontierCode | — | 49.3% |
| LMArena WebDev | — | 1692 |
| SciCode | 17.4% | — |
Agentic & Tool Use GPT-6 Sol leads
Gemma 3 12B: 25.3 (#101), GPT-6 Sol: 33.5 (#49)
| Benchmark | Gemma 3 12B | GPT-6 Sol |
|---|---|---|
| Berkeley Function Calling Leaderboard | 30.4% | — |
| GDP.pdf | — | 28% |
Reasoning GPT-6 Sol leads
Gemma 3 12B: 15.2 (#307), GPT-6 Sol: 49.3 (#34)
| Benchmark | Gemma 3 12B | GPT-6 Sol |
|---|---|---|
| LMArena Hard Prompts | 1309 | 1420 |
| NYT Connections (extended) | — | 90.1% |
| CritPt | 0% | — |
| Chess Puzzles | 0% | — |
| EBR-Bench | — | 53.3% |
| DTBench | 48.8% | — |
| LMCA | 4.5% | — |
| Epoch Capabilities Index | 123.49 | — |
Math GPT-6 Sol leads
Gemma 3 12B: 21.0 (#273), GPT-6 Sol: 35.8 (#135)
| Benchmark | Gemma 3 12B | GPT-6 Sol |
|---|---|---|
| LMArena Math | 1307 | 1404 |
| OTIS Mock AIME 2024-2025 | 16.7% | — |
Knowledge GPT-6 Sol leads
Gemma 3 12B: 26.5 (#250), GPT-6 Sol: 43.0 (#87)
| Benchmark | Gemma 3 12B | GPT-6 Sol |
|---|---|---|
| Vectara Hallucination Rate | 4.4% | 6.5% |
| LMArena Expert | 1248 | 1449 |
| GPQA Diamond | 39.5% | — |
Multimodal Not comparable
Gemma 3 12B: —, GPT-6 Sol: 47.6 (#9)
| Benchmark | Gemma 3 12B | GPT-6 Sol |
|---|---|---|
| Furniture Assembly | — | 58.3% |
| MindCube | 46.7% | — |
Multilingual GPT-6 Sol leads
Gemma 3 12B: 45.9 (#160), GPT-6 Sol: 51.0 (#113)
| Benchmark | Gemma 3 12B | GPT-6 Sol |
|---|---|---|
| LMArena Non-English | 1318 | 1389 |
| LMArena Russian | 1335 | 1407 |
| LMArena Chinese | — | 1416 |
| LMArena German | 1370 | — |
| LMArena Spanish | — | 1377 |
Instruction Following GPT-6 Sol leads
Gemma 3 12B: 68.8 (#179), GPT-6 Sol: 74.4 (#97)
| Benchmark | Gemma 3 12B | GPT-6 Sol |
|---|---|---|
| LMArena Instruction Following | 1299 | 1406 |
Long Context GPT-6 Sol leads
Gemma 3 12B: 40.0 (#157), GPT-6 Sol: 43.2 (#100)
| Benchmark | Gemma 3 12B | GPT-6 Sol |
|---|---|---|
| LMArena Longer Query | 1317 | 1415 |
Writing & Preference GPT-6 Sol leads
Gemma 3 12B: 47.7 (#205), GPT-6 Sol: 72.3 (#15)
| Benchmark | Gemma 3 12B | GPT-6 Sol |
|---|---|---|
| LMArena Text | 1334 | 1396 |
| LMArena Creative Writing | 1331 | 1392 |
| EQ-Bench Creative Writing | 1126 | 2125 |
| LMArena Multi-Turn | 1334 | 1405 |
Frequently asked questions
Is Gemma 3 12B better than GPT-6 Sol?
GPT-6 Sol is the stronger model overall, scoring 49.2 to 31.8 on the Noometry Index. Gemma 3 12B costs 53× less per token, which makes it the better buy when GPT-6 Sol's lead doesn't matter for your workload.
Which is cheaper, Gemma 3 12B or GPT-6 Sol?
Gemma 3 12B is cheaper. It lists at $0.05 per million input tokens and $0.15 per million output tokens; GPT-6 Sol lists at $2 and $10.
Is Gemma 3 12B or GPT-6 Sol better for coding?
GPT-6 Sol scores higher on coding benchmarks: 59.6 versus 31.2 in the Noometry coding category.
Which has the bigger context window?
GPT-6 Sol does, with 1.05M tokens against 131K.
How many benchmarks do Gemma 3 12B and GPT-6 Sol share?
13 benchmarks have published results for both models. Gemma 3 12B has 24 scored results on Noometry and GPT-6 Sol has 22.