Model comparison
Gemma 3 12B vs GPT-4.5
GPT-4.5 is the stronger model overall, scoring 37.2 to 32.1 on the Noometry Index.
Last verified . 16 shared benchmarks.
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 42.2 to 31.7.
- 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.
Side by side
| Gemma 3 12B | GPT-4.5 | |
|---|---|---|
| Provider | OpenAI | |
| Noometry Index | 32.1 | 37.2 |
| Released | 2025-03-12 | 2025-02-27 |
| Weights | Open | Proprietary |
| Context window | 131K | — |
| Max output | 8K | — |
| Input $ / M tokens | $0.05 | — |
| Output $ / M tokens | $0.15 | — |
| Results tracked | 24 | 42 |
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Category by category
Coding GPT-4.5 leads
Gemma 3 12B: 31.7 (#280), GPT-4.5: 42.2 (#109)
| Benchmark | Gemma 3 12B | GPT-4.5 |
|---|---|---|
| LMArena Coding | 1281 | 1396 |
| Aider Polyglot | — | 44.9% |
| SciCode | 17.4% | — |
| WeirdML | — | 39.4% |
| LiveBench Coding | — | 75.2% |
Agentic & Tool Use GPT-4.5 leads
Gemma 3 12B: 25.5 (#108), GPT-4.5: 27.9 (#97)
| Benchmark | Gemma 3 12B | GPT-4.5 |
|---|---|---|
| Berkeley Function Calling Leaderboard | 30.4% | — |
| Cybench | — | 17.5% |
Reasoning Gemma 3 12B leads
Gemma 3 12B: 15.7 (#313), GPT-4.5: 13.9 (#330)
| Benchmark | Gemma 3 12B | GPT-4.5 |
|---|---|---|
| LMArena Hard Prompts | 1309 | 1403 |
| Epoch Capabilities Index | 123.5 | 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 GPT-4.5 leads
Gemma 3 12B: 22.3 (#279), GPT-4.5: 32.6 (#211)
| 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 GPT-4.5 leads
Gemma 3 12B: 26.5 (#257), GPT-4.5: 32.5 (#211)
| 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 Not comparable
Gemma 3 12B: —, GPT-4.5: 37.6 (#71)
| Benchmark | Gemma 3 12B | GPT-4.5 |
|---|---|---|
| LMArena Vision | — | 1195 |
| VPCT | — | 45% |
| MindCube | 46.7% | — |
Multilingual GPT-4.5 leads
Gemma 3 12B: 45.7 (#165), GPT-4.5: 52.5 (#83)
| 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 | — | 1418 |
| LMArena Japanese | — | 1416 |
| LMArena Korean | — | 1392 |
Instruction Following GPT-4.5 leads
Gemma 3 12B: 68.6 (#186), GPT-4.5: 72.6 (#134)
| Benchmark | Gemma 3 12B | GPT-4.5 |
|---|---|---|
| LMArena Instruction Following | 1299 | 1404 |
| LiveBench Instruction Following | — | 72.3% |
Long Context Too close to call
Gemma 3 12B: 40.0 (#162), GPT-4.5: 40.4 (#155)
| Benchmark | Gemma 3 12B | GPT-4.5 |
|---|---|---|
| LMArena Longer Query | 1317 | 1406 |
| Fiction.LiveBench | — | 63.9% |
Writing & Preference GPT-4.5 leads
Gemma 3 12B: 47.5 (#209), GPT-4.5: 56.9 (#134)
| 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% |
Frequently asked questions
Is Gemma 3 12B better than GPT-4.5?
GPT-4.5 is the stronger model overall, scoring 37.2 to 32.1 on the Noometry Index.
Is Gemma 3 12B or GPT-4.5 better for coding?
GPT-4.5 scores higher on coding benchmarks: 42.2 versus 31.7 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.