# 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.

- Canonical page: https://noometry.com/compare/gemma-3-12b-vs-gpt-6-1-sol
- Last updated: 2026-10-10
- Shared benchmarks: 0

## Summary

- 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.

## Snapshot

| | Gemma 3 12B | GPT-6.1 Sol |
|---|---|---|
| Provider | Google | OpenAI |
| Noometry Index | 31.8 | 42.1 |
| Rank | 255 | — |
| Context | 131K | 1.05M |
| Input $/M | $0.05 | $2 |
| Output $/M | $0.15 | $10 |
| Weights | Open | Proprietary |

## Coding

- 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

- 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

- 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

- 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

- 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

- Gemma 3 12B: —
- GPT-6.1 Sol: —

| Benchmark | Gemma 3 12B | GPT-6.1 Sol |
|---|---|---|
| MindCube | 46.7% | — |

## Multilingual

- 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

- Gemma 3 12B: 68.8 (#179)
- GPT-6.1 Sol: —

| Benchmark | Gemma 3 12B | GPT-6.1 Sol |
|---|---|---|
| LMArena Instruction Following | 1299 | — |

## Long Context

- Gemma 3 12B: 40.0 (#157)
- GPT-6.1 Sol: —

| Benchmark | Gemma 3 12B | GPT-6.1 Sol |
|---|---|---|
| LMArena Longer Query | 1317 | — |

## Writing & Preference

- 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 | — |

## FAQ

### 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.