Model comparison
Gemma 3n E4b IT vs GPT-4 Turbo
Gemma 3n E4b IT is the stronger model overall, scoring 37.3 to 30.5 on the Noometry Index.
Last verified . 17 shared benchmarks.
GoogleSummary
- They share 17 benchmarks with published results for both. Gemma 3n E4b IT scores higher in 8 categories and GPT-4 Turbo in 0 categories; 6 gaps are clear of the uncertainty.
- The widest gap is in math, where Gemma 3n E4b IT leads 35.1 to 9.0.
- Gemma 3n E4b IT has downloadable open weights; the other is API-only.
Side by side
| Gemma 3n E4b IT | GPT-4 Turbo | |
|---|---|---|
| Provider | OpenAI | |
| Noometry Index | 37.3 | 30.5 |
| Released | — | 2023-11-06 |
| Weights | Open | Proprietary |
| Context window | — | 128K |
| Max output | — | 4K |
| Input $ / M tokens | — | $10 |
| Output $ / M tokens | — | $30 |
| Results tracked | 18 | 36 |
Sponsored placements are available on pages like this one. Advertise on Noometry
Category by category
Coding Gemma 3n E4b IT leads
Gemma 3n E4b IT: 37.0 (#198), GPT-4 Turbo: 33.8 (#249)
| Benchmark | Gemma 3n E4b IT | GPT-4 Turbo |
|---|---|---|
| LMArena Coding | 1268 | 1268 |
| WeirdML | — | 18% |
| BigCodeBench Instruct | — | 48.2% |
| BigCodeBench Complete | — | 58.2% |
| HumanEval+ | — | 86.6% |
| MBPP+ | — | 73.3% |
Agentic & Tool Use Not comparable
Gemma 3n E4b IT: —, GPT-4 Turbo: —
| Benchmark | Gemma 3n E4b IT | GPT-4 Turbo |
|---|---|---|
| METR Time Horizons | — | 36.7% |
Reasoning Gemma 3n E4b IT leads
Gemma 3n E4b IT: 19.9 (#247), GPT-4 Turbo: 15.3 (#317)
| Benchmark | Gemma 3n E4b IT | GPT-4 Turbo |
|---|---|---|
| LMArena Hard Prompts | 1284 | 1251 |
| SimpleBench | — | 25.1% |
| Kagi LLM Benchmark | 31.5% | — |
| Chess Puzzles | — | 6% |
| DTBench | — | 61.6% |
| LMCA | — | 9.8% |
| Epoch Capabilities Index | — | 127.25 |
| ForecastBench | — | 59.4 |
Math Gemma 3n E4b IT leads
Gemma 3n E4b IT: 35.1 (#188), GPT-4 Turbo: 9.0 (#322)
| Benchmark | Gemma 3n E4b IT | GPT-4 Turbo |
|---|---|---|
| LMArena Math | 1251 | 1272 |
| FrontierMath (Tiers 1-3) | — | 0.7% |
| OTIS Mock AIME 2024-2025 | — | 6.7% |
| MATH Level 5 | — | 46.7% |
Knowledge Gemma 3n E4b IT leads
Gemma 3n E4b IT: 34.2 (#198), GPT-4 Turbo: 24.3 (#268)
| Benchmark | Gemma 3n E4b IT | GPT-4 Turbo |
|---|---|---|
| LMArena Expert | 1246 | 1223 |
| GPQA Diamond | — | 46.6% |
| Confabulations | — | 28.4% |
| MMLU | — | 81.3% |
Multimodal Not comparable
Gemma 3n E4b IT: —, GPT-4 Turbo: 30.6 (#110)
| Benchmark | Gemma 3n E4b IT | GPT-4 Turbo |
|---|---|---|
| LMArena Vision | — | 1090 |
Multilingual Gemma 3n E4b IT leads
Gemma 3n E4b IT: 43.4 (#183), GPT-4 Turbo: 40.5 (#216)
| Benchmark | Gemma 3n E4b IT | GPT-4 Turbo |
|---|---|---|
| LMArena Non-English | 1285 | 1245 |
| LMArena Chinese | 1309 | 1242 |
| LMArena French | 1330 | 1276 |
| LMArena German | 1311 | 1259 |
| LMArena Japanese | 1272 | 1194 |
| LMArena Korean | 1259 | 1187 |
| LMArena Russian | 1288 | 1259 |
| LMArena Spanish | 1305 | 1260 |
Instruction Following Too close to call
Gemma 3n E4b IT: 66.1 (#210), GPT-4 Turbo: 65.8 (#216)
| Benchmark | Gemma 3n E4b IT | GPT-4 Turbo |
|---|---|---|
| LMArena Instruction Following | 1255 | 1249 |
Long Context Too close to call
Gemma 3n E4b IT: 38.7 (#191), GPT-4 Turbo: 38.0 (#206)
| Benchmark | Gemma 3n E4b IT | GPT-4 Turbo |
|---|---|---|
| LMArena Longer Query | 1276 | 1254 |
Writing & Preference Gemma 3n E4b IT leads
Gemma 3n E4b IT: 50.1 (#186), GPT-4 Turbo: 47.7 (#206)
| Benchmark | Gemma 3n E4b IT | GPT-4 Turbo |
|---|---|---|
| LMArena Text | 1306 | 1272 |
| LMArena Creative Writing | 1287 | 1269 |
| LMArena Multi-Turn | 1276 | 1267 |
Frequently asked questions
Is Gemma 3n E4b IT better than GPT-4 Turbo?
Gemma 3n E4b IT is the stronger model overall, scoring 37.3 to 30.5 on the Noometry Index.
Is Gemma 3n E4b IT or GPT-4 Turbo better for coding?
Gemma 3n E4b IT scores higher on coding benchmarks: 37.0 versus 33.8 in the Noometry coding category.
How many benchmarks do Gemma 3n E4b IT and GPT-4 Turbo share?
17 benchmarks have published results for both models. Gemma 3n E4b IT has 18 scored results on Noometry and GPT-4 Turbo has 36.