Model comparison
Gemma 3 27B vs GPT-4
Gemma 3 27B is the stronger model overall, scoring 30.8 to 29.1 on the Noometry Index.
Last verified . 25 shared benchmarks.
GoogleSummary
- They share 25 benchmarks with published results for both. Gemma 3 27B scores higher in 5 categories and GPT-4 in 3 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where Gemma 3 27B leads 52.5 to 34.9.
- The biggest single-benchmark swing is MATH Level 5: 74% for Gemma 3 27B and 23% for GPT-4.
- Gemma 3 27B is cheaper at $0.08 / $0.16 per million input/output tokens, against $30 / $60 for GPT-4.
- Gemma 3 27B accepts more context: 131K tokens versus 8K.
- Gemma 3 27B has downloadable open weights; the other is API-only.
Side by side
| Gemma 3 27B | GPT-4 | |
|---|---|---|
| Provider | OpenAI | |
| Noometry Index | 30.8 | 29.1 |
| Released | 2025-03-11 | 2023-03-14 |
| Weights | Open | Proprietary |
| Context window | 131K | 8K |
| Max output | 8K | 8K |
| Input $ / M tokens | $0.08 | $30 |
| Output $ / M tokens | $0.16 | $60 |
| Results tracked | 43 | 38 |
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Category by category
Coding GPT-4 leads
Gemma 3 27B: 22.5 (#334), GPT-4: 31.6 (#283)
| Benchmark | Gemma 3 27B | GPT-4 |
|---|---|---|
| LMArena Coding | 1322 | 1254 |
| Aider Polyglot | 4.9% | — |
| SciCode | 21.2% | — |
| WeirdML | — | 12.4% |
| BigCodeBench Instruct | — | 46% |
| LiveBench Coding | 39.9% | — |
| BigCodeBench Complete | — | 57.2% |
| HumanEval+ | — | 79.3% |
Agentic & Tool Use Not comparable
Gemma 3 27B: 25.1 (#110), GPT-4: —
| Benchmark | Gemma 3 27B | GPT-4 |
|---|---|---|
| Berkeley Function Calling Leaderboard | 29.5% | — |
| METR Time Horizons | — | 36.1% |
Reasoning GPT-4 leads
Gemma 3 27B: 16.7 (#301), GPT-4: 17.8 (#289)
| Benchmark | Gemma 3 27B | GPT-4 |
|---|---|---|
| Chess Puzzles | 0% | 4% |
| LMArena Hard Prompts | 1340 | 1241 |
| DTBench | 52.5% | 62.7% |
| LMCA | 12.3% | 17.1% |
| Epoch Capabilities Index | 130.04 | 125.89 |
| Kagi LLM Benchmark | 40.4% | — |
| CritPt | 0% | — |
| LiveBench Reasoning | 43.8% | — |
| Mystery Game Puzzles | — | 12% |
| LiveBench Data Analysis | 51.5% | — |
| BIG-Bench Hard | — | 75.1% |
| ForecastBench | — | 57.8 |
| HellaSwag | — | 95.3% |
| LiveBench | 50% | — |
| WinoGrande | — | 87.5% |
Math Gemma 3 27B leads
Gemma 3 27B: 25.9 (#265), GPT-4: 10.8 (#309)
| Benchmark | Gemma 3 27B | GPT-4 |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 22.5% | 1.1% |
| LMArena Math | 1312 | 1269 |
| MATH Level 5 | 74% | 23% |
| LiveBench Math | 55.4% | — |
| GSM8K | — | 92% |
Knowledge Gemma 3 27B leads
Gemma 3 27B: 25.5 (#261), GPT-4: 18.4 (#282)
| Benchmark | Gemma 3 27B | GPT-4 |
|---|---|---|
| GPQA Diamond | 47.7% | 35.7% |
| LMArena Expert | 1304 | 1211 |
| Confabulations | 40.3% | — |
| Vectara Hallucination Rate | 7.4% | — |
| MMLU | — | 86.4% |
| TriviaQA | — | 84.8% |
Multimodal Not comparable
Gemma 3 27B: 32.6 (#100), GPT-4: —
| Benchmark | Gemma 3 27B | GPT-4 |
|---|---|---|
| LMArena Vision | 1164 | — |
| GeoBench | 52% | — |
Multilingual Gemma 3 27B leads
Gemma 3 27B: 46.9 (#155), GPT-4: 40.6 (#215)
| Benchmark | Gemma 3 27B | GPT-4 |
|---|---|---|
| LMArena Non-English | 1334 | 1246 |
| LMArena Chinese | 1346 | 1242 |
| LMArena French | 1368 | 1283 |
| LMArena German | 1362 | 1251 |
| LMArena Japanese | 1287 | 1209 |
| LMArena Korean | 1308 | 1184 |
| LMArena Russian | 1349 | 1251 |
| LMArena Spanish | 1349 | 1261 |
Instruction Following Gemma 3 27B leads
Gemma 3 27B: 70.6 (#160), GPT-4: 65.3 (#222)
| Benchmark | Gemma 3 27B | GPT-4 |
|---|---|---|
| LMArena Instruction Following | 1321 | 1241 |
| LiveBench Instruction Following | 74.9% | — |
Long Context GPT-4 leads
Gemma 3 27B: 27.6 (#293), GPT-4: 37.7 (#212)
| Benchmark | Gemma 3 27B | GPT-4 |
|---|---|---|
| LMArena Longer Query | 1333 | 1244 |
| Fiction.LiveBench | 33.3% | — |
Writing & Preference Gemma 3 27B leads
Gemma 3 27B: 52.5 (#168), GPT-4: 34.9 (#268)
| Benchmark | Gemma 3 27B | GPT-4 |
|---|---|---|
| LMArena Text | 1358 | 1263 |
| LMArena Creative Writing | 1346 | 1244 |
| EQ-Bench Creative Writing | 1266 | 752 |
| LMArena Multi-Turn | 1345 | 1257 |
| Short-Story Creative Writing | 79.9% | — |
| LiveBench Language | 34.6% | — |
Frequently asked questions
Is Gemma 3 27B better than GPT-4?
Gemma 3 27B is the stronger model overall, scoring 30.8 to 29.1 on the Noometry Index.
Which is cheaper, Gemma 3 27B or GPT-4?
Gemma 3 27B is cheaper. It lists at $0.08 per million input tokens and $0.16 per million output tokens; GPT-4 lists at $30 and $60.
Is Gemma 3 27B or GPT-4 better for coding?
GPT-4 scores higher on coding benchmarks: 31.6 versus 22.5 in the Noometry coding category.
Which has the bigger context window?
Gemma 3 27B does, with 131K tokens against 8K.
How many benchmarks do Gemma 3 27B and GPT-4 share?
25 benchmarks have published results for both models. Gemma 3 27B has 43 scored results on Noometry and GPT-4 has 38.