Model comparison
Gemma 3 27B vs GPT-4.5
GPT-4.5 is the stronger model overall, scoring 37.2 to 30.8 on the Noometry Index.
Last verified . 33 shared benchmarks.
Summary
- They share 33 benchmarks with published results for both. Gemma 3 27B scores higher in 1 category and GPT-4.5 in 9 categories; 10 gaps are clear of the uncertainty.
- The widest gap is in coding, where GPT-4.5 leads 42.2 to 22.5.
- The biggest single-benchmark swing is Aider Polyglot: 4.9% for Gemma 3 27B and 44.9% for GPT-4.5.
- Gemma 3 27B has downloadable open weights; the other is API-only.
Side by side
| Gemma 3 27B | GPT-4.5 | |
|---|---|---|
| Provider | OpenAI | |
| Noometry Index | 30.8 | 37.2 |
| Released | 2025-03-11 | 2025-02-27 |
| Weights | Open | Proprietary |
| Context window | 131K | — |
| Max output | 8K | — |
| Input $ / M tokens | $0.08 | — |
| Output $ / M tokens | $0.16 | — |
| Results tracked | 43 | 42 |
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Category by category
Coding GPT-4.5 leads
Gemma 3 27B: 22.5 (#334), GPT-4.5: 42.2 (#109)
| Benchmark | Gemma 3 27B | GPT-4.5 |
|---|---|---|
| Aider Polyglot | 4.9% | 44.9% |
| LiveBench Coding | 39.9% | 75.2% |
| LMArena Coding | 1322 | 1396 |
| SciCode | 21.2% | — |
| WeirdML | — | 39.4% |
Agentic & Tool Use GPT-4.5 leads
Gemma 3 27B: 25.1 (#110), GPT-4.5: 27.9 (#97)
| Benchmark | Gemma 3 27B | GPT-4.5 |
|---|---|---|
| Berkeley Function Calling Leaderboard | 29.5% | — |
| Cybench | — | 17.5% |
Reasoning Gemma 3 27B leads
Gemma 3 27B: 16.7 (#301), GPT-4.5: 13.9 (#330)
| Benchmark | Gemma 3 27B | GPT-4.5 |
|---|---|---|
| LiveBench Reasoning | 43.8% | 71.1% |
| LMArena Hard Prompts | 1340 | 1403 |
| LiveBench Data Analysis | 51.5% | 64.3% |
| Epoch Capabilities Index | 130.04 | 136.74 |
| LiveBench | 50% | 69% |
| ARC-AGI-2 | — | 0.8% |
| SimpleBench | — | 34.5% |
| Kagi LLM Benchmark | 40.4% | — |
| ARC-AGI-1 | — | 10.3% |
| CritPt | 0% | — |
| Chess Puzzles | 0% | — |
| EnigmaEval | — | 3.2% |
| DTBench | 52.5% | — |
| LMCA | 12.3% | — |
| ForecastBench | — | 61.7 |
Math GPT-4.5 leads
Gemma 3 27B: 25.9 (#265), GPT-4.5: 32.6 (#211)
| Benchmark | Gemma 3 27B | GPT-4.5 |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 22.5% | 37.8% |
| LiveBench Math | 55.4% | 69.3% |
| LMArena Math | 1312 | 1412 |
| MATH Level 5 | 74% | 78.6% |
Knowledge GPT-4.5 leads
Gemma 3 27B: 25.5 (#261), GPT-4.5: 32.5 (#211)
| Benchmark | Gemma 3 27B | GPT-4.5 |
|---|---|---|
| GPQA Diamond | 47.7% | 68.7% |
| Confabulations | 40.3% | 13.6% |
| LMArena Expert | 1304 | 1394 |
| Humanity's Last Exam | — | 5.4% |
| Vectara Hallucination Rate | 7.4% | — |
Multimodal GPT-4.5 leads
Gemma 3 27B: 32.6 (#100), GPT-4.5: 37.6 (#71)
| Benchmark | Gemma 3 27B | GPT-4.5 |
|---|---|---|
| LMArena Vision | 1164 | 1195 |
| GeoBench | 52% | — |
| VPCT | — | 45% |
Multilingual GPT-4.5 leads
Gemma 3 27B: 46.9 (#155), GPT-4.5: 52.5 (#83)
| Benchmark | Gemma 3 27B | GPT-4.5 |
|---|---|---|
| LMArena Non-English | 1334 | 1413 |
| LMArena Chinese | 1346 | 1421 |
| LMArena French | 1368 | 1418 |
| LMArena German | 1362 | 1457 |
| LMArena Japanese | 1287 | 1416 |
| LMArena Korean | 1308 | 1392 |
| LMArena Russian | 1349 | 1419 |
| LMArena Spanish | 1349 | — |
Instruction Following GPT-4.5 leads
Gemma 3 27B: 70.6 (#160), GPT-4.5: 72.6 (#134)
| Benchmark | Gemma 3 27B | GPT-4.5 |
|---|---|---|
| LiveBench Instruction Following | 74.9% | 72.3% |
| LMArena Instruction Following | 1321 | 1404 |
Long Context GPT-4.5 leads
Gemma 3 27B: 27.6 (#293), GPT-4.5: 40.4 (#155)
| Benchmark | Gemma 3 27B | GPT-4.5 |
|---|---|---|
| Fiction.LiveBench | 33.3% | 63.9% |
| LMArena Longer Query | 1333 | 1406 |
Writing & Preference GPT-4.5 leads
Gemma 3 27B: 52.5 (#168), GPT-4.5: 56.9 (#134)
| Benchmark | Gemma 3 27B | GPT-4.5 |
|---|---|---|
| LMArena Text | 1358 | 1417 |
| LMArena Creative Writing | 1346 | 1394 |
| Short-Story Creative Writing | 79.9% | 75.6% |
| EQ-Bench Creative Writing | 1266 | 1258 |
| LMArena Multi-Turn | 1345 | 1444 |
| LiveBench Language | 34.6% | 61.5% |
Frequently asked questions
Is Gemma 3 27B better than GPT-4.5?
GPT-4.5 is the stronger model overall, scoring 37.2 to 30.8 on the Noometry Index.
Is Gemma 3 27B or GPT-4.5 better for coding?
GPT-4.5 scores higher on coding benchmarks: 42.2 versus 22.5 in the Noometry coding category.
How many benchmarks do Gemma 3 27B and GPT-4.5 share?
33 benchmarks have published results for both models. Gemma 3 27B has 43 scored results on Noometry and GPT-4.5 has 42.