Model comparison
Gemma 3 27B vs GPT-4 Turbo
Gemma 3 27B and GPT-4 Turbo score almost the same on the Noometry Index (30.5 vs 30.3), so choose on price, context window or the category you care about most.
Last verified . 26 shared benchmarks.
GoogleSummary
- They share 26 benchmarks with published results for both. Gemma 3 27B scores higher in 7 categories and GPT-4 Turbo in 2 categories; 9 gaps are clear of the uncertainty.
- The widest gap is in math, where Gemma 3 27B leads 24.4 to 8.6.
- The biggest single-benchmark swing is MATH Level 5: 74% for Gemma 3 27B and 46.7% for GPT-4 Turbo.
- Gemma 3 27B is cheaper at $0.08 / $0.16 per million input/output tokens, against $10 / $30 for GPT-4 Turbo.
- Gemma 3 27B accepts more context: 131K tokens versus 128K.
- Gemma 3 27B has downloadable open weights; the other is API-only.
Side by side
| Gemma 3 27B | GPT-4 Turbo | |
|---|---|---|
| Provider | OpenAI | |
| Noometry Index | 30.5 | 30.3 |
| Released | 2025-03-11 | 2023-11-06 |
| Weights | Open | Proprietary |
| Context window | 131K | 128K |
| Max output | 8K | 4K |
| Input $ / M tokens | $0.08 | $10 |
| Output $ / M tokens | $0.16 | $30 |
| Results tracked | 43 | 36 |
Sponsored placements are available on pages like this one. Advertise on Noometry
Category by category
Coding GPT-4 Turbo leads
Gemma 3 27B: 22.1 (#329), GPT-4 Turbo: 33.4 (#247)
| Benchmark | Gemma 3 27B | GPT-4 Turbo |
|---|---|---|
| LMArena Coding | 1322 | 1268 |
| Aider Polyglot | 4.9% | — |
| SciCode | 21.2% | — |
| WeirdML | — | 18% |
| BigCodeBench Instruct | — | 48.2% |
| LiveBench Coding | 39.9% | — |
| BigCodeBench Complete | — | 58.2% |
| HumanEval+ | — | 86.6% |
| MBPP+ | — | 73.3% |
Agentic & Tool Use Not comparable
Gemma 3 27B: 24.9 (#105), GPT-4 Turbo: —
| Benchmark | Gemma 3 27B | GPT-4 Turbo |
|---|---|---|
| Berkeley Function Calling Leaderboard | 29.5% | — |
| METR Time Horizons | — | 36.7% |
Reasoning Gemma 3 27B leads
Gemma 3 27B: 16.3 (#297), GPT-4 Turbo: 14.9 (#311)
| Benchmark | Gemma 3 27B | GPT-4 Turbo |
|---|---|---|
| Chess Puzzles | 0% | 6% |
| LMArena Hard Prompts | 1340 | 1251 |
| DTBench | 52.5% | 61.6% |
| LMCA | 12.3% | 9.8% |
| Epoch Capabilities Index | 130.04 | 127.25 |
| SimpleBench | — | 25.1% |
| Kagi LLM Benchmark | 40.4% | — |
| CritPt | 0% | — |
| LiveBench Reasoning | 43.8% | — |
| LiveBench Data Analysis | 51.5% | — |
| ForecastBench | — | 59.4 |
| LiveBench | 50% | — |
Math Gemma 3 27B leads
Gemma 3 27B: 24.4 (#261), GPT-4 Turbo: 8.6 (#316)
| Benchmark | Gemma 3 27B | GPT-4 Turbo |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 22.5% | 6.7% |
| LMArena Math | 1312 | 1272 |
| MATH Level 5 | 74% | 46.7% |
| FrontierMath (Tiers 1-3) | — | 0.7% |
| LiveBench Math | 55.4% | — |
Knowledge Gemma 3 27B leads
Gemma 3 27B: 25.4 (#256), GPT-4 Turbo: 24.3 (#263)
| Benchmark | Gemma 3 27B | GPT-4 Turbo |
|---|---|---|
| GPQA Diamond | 47.7% | 46.6% |
| Confabulations | 40.3% | 28.4% |
| LMArena Expert | 1303 | 1223 |
| Vectara Hallucination Rate | 7.4% | — |
| MMLU | — | 81.3% |
Multimodal Gemma 3 27B leads
Gemma 3 27B: 32.0 (#94), GPT-4 Turbo: 30.0 (#104)
| Benchmark | Gemma 3 27B | GPT-4 Turbo |
|---|---|---|
| LMArena Vision | 1165 | 1090 |
| GeoBench | 52% | — |
Multilingual Gemma 3 27B leads
Gemma 3 27B: 47.0 (#150), GPT-4 Turbo: 40.7 (#211)
| Benchmark | Gemma 3 27B | GPT-4 Turbo |
|---|---|---|
| LMArena Non-English | 1334 | 1245 |
| LMArena Chinese | 1347 | 1242 |
| LMArena French | 1368 | 1275 |
| LMArena German | 1362 | 1259 |
| LMArena Japanese | 1287 | 1194 |
| LMArena Korean | 1308 | 1187 |
| LMArena Russian | 1349 | 1259 |
| LMArena Spanish | 1348 | 1260 |
Instruction Following Gemma 3 27B leads
Gemma 3 27B: 70.8 (#155), GPT-4 Turbo: 66.0 (#211)
| Benchmark | Gemma 3 27B | GPT-4 Turbo |
|---|---|---|
| LMArena Instruction Following | 1321 | 1250 |
| LiveBench Instruction Following | 74.9% | — |
Long Context GPT-4 Turbo leads
Gemma 3 27B: 27.6 (#288), GPT-4 Turbo: 38.0 (#200)
| Benchmark | Gemma 3 27B | GPT-4 Turbo |
|---|---|---|
| LMArena Longer Query | 1333 | 1254 |
| Fiction.LiveBench | 33.3% | — |
Writing & Preference Gemma 3 27B leads
Gemma 3 27B: 52.7 (#161), GPT-4 Turbo: 47.9 (#201)
| Benchmark | Gemma 3 27B | GPT-4 Turbo |
|---|---|---|
| LMArena Text | 1358 | 1272 |
| LMArena Creative Writing | 1346 | 1269 |
| LMArena Multi-Turn | 1344 | 1267 |
| Short-Story Creative Writing | 79.9% | — |
| EQ-Bench Creative Writing | 1266 | — |
| LiveBench Language | 34.6% | — |
Frequently asked questions
Is Gemma 3 27B better than GPT-4 Turbo?
Gemma 3 27B and GPT-4 Turbo score almost the same on the Noometry Index (30.5 vs 30.3), so choose on price, context window or the category you care about most.
Which is cheaper, Gemma 3 27B or GPT-4 Turbo?
Gemma 3 27B is cheaper. It lists at $0.08 per million input tokens and $0.16 per million output tokens; GPT-4 Turbo lists at $10 and $30.
Is Gemma 3 27B or GPT-4 Turbo better for coding?
GPT-4 Turbo scores higher on coding benchmarks: 33.4 versus 22.1 in the Noometry coding category.
Which has the bigger context window?
Gemma 3 27B does, with 131K tokens against 128K.
How many benchmarks do Gemma 3 27B and GPT-4 Turbo share?
26 benchmarks have published results for both models. Gemma 3 27B has 43 scored results on Noometry and GPT-4 Turbo has 36.