Model comparison
Gemma 3 12B vs GPT-6.1 Sol
Gemma 3 12B has enough public results to be ranked (#255); GPT-6.1 Sol does not yet, so treat this comparison as directional.
Last verified . 0 shared benchmarks.
GoogleSummary
- The widest gap is in coding, where GPT-6.1 Sol leads 51.4 to 31.2.
- Gemma 3 12B is cheaper at $0.05 / $0.15 per million input/output tokens, against $2 / $10 for GPT-6.1 Sol.
- GPT-6.1 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-6.1 Sol | |
|---|---|---|
| Provider | OpenAI | |
| Noometry Index | 31.8 | 42.1 |
| Released | 2025-03-12 | 2026-09-29 |
| 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 | 2 |
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Category by category
Coding GPT-6.1 Sol leads
Gemma 3 12B: 31.2 (#276), GPT-6.1 Sol: 51.4
| Benchmark | Gemma 3 12B | GPT-6.1 Sol |
|---|---|---|
| DeepSWE | — | 75.2% |
| SciCode | 17.4% | — |
| LMArena Coding | 1281 | — |
Agentic & Tool Use GPT-6.1 Sol leads
Gemma 3 12B: 25.3 (#101), GPT-6.1 Sol: 34.3
| Benchmark | Gemma 3 12B | GPT-6.1 Sol |
|---|---|---|
| Berkeley Function Calling Leaderboard | 30.4% | — |
| GDP.pdf | — | 32% |
Reasoning Not comparable
Gemma 3 12B: 15.2 (#307), GPT-6.1 Sol: —
| Benchmark | Gemma 3 12B | GPT-6.1 Sol |
|---|---|---|
| CritPt | 0% | — |
| Chess Puzzles | 0% | — |
| LMArena Hard Prompts | 1309 | — |
| DTBench | 48.8% | — |
| LMCA | 4.5% | — |
| Epoch Capabilities Index | 123.49 | — |
Math Not comparable
Gemma 3 12B: 21.0 (#273), GPT-6.1 Sol: —
| Benchmark | Gemma 3 12B | GPT-6.1 Sol |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 16.7% | — |
| LMArena Math | 1307 | — |
Knowledge Not comparable
Gemma 3 12B: 26.5 (#250), GPT-6.1 Sol: —
| Benchmark | Gemma 3 12B | GPT-6.1 Sol |
|---|---|---|
| GPQA Diamond | 39.5% | — |
| Vectara Hallucination Rate | 4.4% | — |
| LMArena Expert | 1248 | — |
Multimodal Not comparable
Gemma 3 12B: —, GPT-6.1 Sol: —
| Benchmark | Gemma 3 12B | GPT-6.1 Sol |
|---|---|---|
| MindCube | 46.7% | — |
Multilingual Not comparable
Gemma 3 12B: 45.9 (#160), GPT-6.1 Sol: —
| Benchmark | Gemma 3 12B | GPT-6.1 Sol |
|---|---|---|
| LMArena Non-English | 1318 | — |
| LMArena German | 1370 | — |
| LMArena Russian | 1335 | — |
Instruction Following Not comparable
Gemma 3 12B: 68.8 (#179), GPT-6.1 Sol: —
| Benchmark | Gemma 3 12B | GPT-6.1 Sol |
|---|---|---|
| LMArena Instruction Following | 1299 | — |
Long Context Not comparable
Gemma 3 12B: 40.0 (#157), GPT-6.1 Sol: —
| Benchmark | Gemma 3 12B | GPT-6.1 Sol |
|---|---|---|
| LMArena Longer Query | 1317 | — |
Writing & Preference Not comparable
Gemma 3 12B: 47.7 (#205), GPT-6.1 Sol: —
| Benchmark | Gemma 3 12B | GPT-6.1 Sol |
|---|---|---|
| LMArena Text | 1334 | — |
| LMArena Creative Writing | 1331 | — |
| EQ-Bench Creative Writing | 1126 | — |
| LMArena Multi-Turn | 1334 | — |
Frequently asked questions
Is Gemma 3 12B better than GPT-6.1 Sol?
Gemma 3 12B has enough public results to be ranked (#255); GPT-6.1 Sol does not yet, so treat this comparison as directional.
Which is cheaper, Gemma 3 12B or GPT-6.1 Sol?
Gemma 3 12B is cheaper. It lists at $0.05 per million input tokens and $0.15 per million output tokens; GPT-6.1 Sol lists at $2 and $10.
Is Gemma 3 12B or GPT-6.1 Sol better for coding?
GPT-6.1 Sol scores higher on coding benchmarks: 51.4 versus 31.2 in the Noometry coding category.
Which has the bigger context window?
GPT-6.1 Sol does, with 1.05M tokens against 131K.
How many benchmarks do Gemma 3 12B and GPT-6.1 Sol share?
0 benchmarks have published results for both models. Gemma 3 12B has 24 scored results on Noometry and GPT-6.1 Sol has 2.