# Gemma 3 12B vs GPT-4.5

> GPT-4.5 is the stronger model overall, scoring 36.9 to 31.8 on the Noometry Index.

- Canonical page: https://noometry.com/compare/gemma-3-12b-vs-gpt-4-5
- Last updated: 2026-10-10
- Shared benchmarks: 16

## Summary

- They share 16 benchmarks with published results for both. Gemma 3 12B scores higher in 1 category and GPT-4.5 in 8 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in coding, where GPT-4.5 leads 41.8 to 31.2.
- The biggest single-benchmark swing is GPQA Diamond: 39.5% for Gemma 3 12B and 68.7% for GPT-4.5.
- Gemma 3 12B has downloadable open weights; the other is API-only.

## Snapshot

| | Gemma 3 12B | GPT-4.5 |
|---|---|---|
| Provider | Google | OpenAI |
| Noometry Index | 31.8 | 36.9 |
| Rank | 255 | 200 |
| Context | 131K | — |
| Input $/M | $0.05 | — |
| Output $/M | $0.15 | — |
| Weights | Open | Proprietary |

## Coding

- Gemma 3 12B: 31.2 (#276)
- GPT-4.5: 41.8 (#102)

| Benchmark | Gemma 3 12B | GPT-4.5 |
|---|---|---|
| LMArena Coding | 1281 | 1397 |
| Aider Polyglot | — | 44.9% |
| SciCode | 17.4% | — |
| WeirdML | — | 39.4% |
| LiveBench Coding | — | 75.2% |

## Agentic & Tool Use

- Gemma 3 12B: 25.3 (#101)
- GPT-4.5: 27.6 (#92)

| Benchmark | Gemma 3 12B | GPT-4.5 |
|---|---|---|
| Berkeley Function Calling Leaderboard | 30.4% | — |
| Cybench | — | 17.5% |

## Reasoning

- Gemma 3 12B: 15.2 (#307)
- GPT-4.5: 14.1 (#320)

| Benchmark | Gemma 3 12B | GPT-4.5 |
|---|---|---|
| LMArena Hard Prompts | 1309 | 1404 |
| Epoch Capabilities Index | 123.49 | 136.74 |
| ARC-AGI-2 | — | 0.8% |
| SimpleBench | — | 34.5% |
| ARC-AGI-1 | — | 10.3% |
| CritPt | 0% | — |
| Chess Puzzles | 0% | — |
| EnigmaEval | — | 3.2% |
| LiveBench Reasoning | — | 71.1% |
| DTBench | 48.8% | — |
| LiveBench Data Analysis | — | 64.3% |
| LMCA | 4.5% | — |
| ForecastBench | — | 61.7 |
| LiveBench | — | 69% |

## Math

- Gemma 3 12B: 21.0 (#273)
- GPT-4.5: 31.0 (#200)

| Benchmark | Gemma 3 12B | GPT-4.5 |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 16.7% | 37.8% |
| LMArena Math | 1307 | 1412 |
| LiveBench Math | — | 69.3% |
| MATH Level 5 | — | 78.6% |

## Knowledge

- Gemma 3 12B: 26.5 (#250)
- GPT-4.5: 32.4 (#205)

| Benchmark | Gemma 3 12B | GPT-4.5 |
|---|---|---|
| GPQA Diamond | 39.5% | 68.7% |
| LMArena Expert | 1248 | 1394 |
| Humanity's Last Exam | — | 5.4% |
| Confabulations | — | 13.6% |
| Vectara Hallucination Rate | 4.4% | — |

## Multimodal

- Gemma 3 12B: —
- GPT-4.5: 37.0 (#68)

| Benchmark | Gemma 3 12B | GPT-4.5 |
|---|---|---|
| LMArena Vision | — | 1195 |
| VPCT | — | 45% |
| MindCube | 46.7% | — |

## Multilingual

- Gemma 3 12B: 45.9 (#160)
- GPT-4.5: 52.7 (#78)

| Benchmark | Gemma 3 12B | GPT-4.5 |
|---|---|---|
| LMArena Non-English | 1318 | 1413 |
| LMArena German | 1370 | 1457 |
| LMArena Russian | 1335 | 1419 |
| LMArena Chinese | — | 1421 |
| LMArena French | — | 1417 |
| LMArena Japanese | — | 1416 |
| LMArena Korean | — | 1392 |

## Instruction Following

- Gemma 3 12B: 68.8 (#179)
- GPT-4.5: 72.8 (#129)

| Benchmark | Gemma 3 12B | GPT-4.5 |
|---|---|---|
| LMArena Instruction Following | 1299 | 1404 |
| LiveBench Instruction Following | — | 72.3% |

## Long Context

- Gemma 3 12B: 40.0 (#157)
- GPT-4.5: 40.4 (#150)

| Benchmark | Gemma 3 12B | GPT-4.5 |
|---|---|---|
| LMArena Longer Query | 1317 | 1406 |
| Fiction.LiveBench | — | 63.9% |

## Writing & Preference

- Gemma 3 12B: 47.7 (#205)
- GPT-4.5: 57.1 (#129)

| Benchmark | Gemma 3 12B | GPT-4.5 |
|---|---|---|
| LMArena Text | 1334 | 1417 |
| LMArena Creative Writing | 1331 | 1394 |
| EQ-Bench Creative Writing | 1126 | 1258 |
| LMArena Multi-Turn | 1334 | 1444 |
| Short-Story Creative Writing | — | 75.6% |
| LiveBench Language | — | 61.5% |

## FAQ

### Is Gemma 3 12B better than GPT-4.5?

GPT-4.5 is the stronger model overall, scoring 36.9 to 31.8 on the Noometry Index.

### Is Gemma 3 12B or GPT-4.5 better for coding?

GPT-4.5 scores higher on coding benchmarks: 41.8 versus 31.2 in the Noometry coding category.

### How many benchmarks do Gemma 3 12B and GPT-4.5 share?

16 benchmarks have published results for both models. Gemma 3 12B has 24 scored results on Noometry and GPT-4.5 has 42.