Model comparison
Gemma 3n E4b IT vs Grok-2 (Dec 2024)
Gemma 3n E4b IT is the stronger model overall, scoring 37.3 to 33.7 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 6 categories and Grok-2 (Dec 2024) in 2 categories; 5 gaps are clear of the uncertainty.
- The widest gap is in math, where Gemma 3n E4b IT leads 35.1 to 20.8.
- Gemma 3n E4b IT has downloadable open weights; the other is API-only.
Side by side
| Gemma 3n E4b IT | Grok-2 (Dec 2024) | |
|---|---|---|
| Provider | xAI | |
| Noometry Index | 37.3 | 33.7 |
| Released | — | 2024-08-13 |
| Weights | Open | Proprietary |
| Context window | — | — |
| Max output | — | — |
| Input $ / M tokens | — | — |
| Output $ / M tokens | — | — |
| Results tracked | 18 | 34 |
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Category by category
Coding Gemma 3n E4b IT leads
Gemma 3n E4b IT: 37.0 (#198), Grok-2 (Dec 2024): 33.3 (#258)
| Benchmark | Gemma 3n E4b IT | Grok-2 (Dec 2024) |
|---|---|---|
| LMArena Coding | 1268 | 1287 |
| WeirdML | — | 22.2% |
| LiveBench Coding | — | 46.4% |
Reasoning Gemma 3n E4b IT leads
Gemma 3n E4b IT: 19.9 (#247), Grok-2 (Dec 2024): 16.9 (#299)
| Benchmark | Gemma 3n E4b IT | Grok-2 (Dec 2024) |
|---|---|---|
| LMArena Hard Prompts | 1284 | 1272 |
| SimpleBench | — | 22.7% |
| Kagi LLM Benchmark | 31.5% | — |
| LiveBench Reasoning | — | 54.8% |
| DTBench | — | 65.2% |
| LiveBench Data Analysis | — | 54.5% |
| Epoch Capabilities Index | — | 130.48 |
| LiveBench | — | 54.3% |
Math Gemma 3n E4b IT leads
Gemma 3n E4b IT: 35.1 (#188), Grok-2 (Dec 2024): 20.8 (#284)
| Benchmark | Gemma 3n E4b IT | Grok-2 (Dec 2024) |
|---|---|---|
| LMArena Math | 1251 | 1283 |
| OTIS Mock AIME 2024-2025 | — | 11.5% |
| LiveBench Math | — | 54.9% |
| MATH Level 5 | — | 63.5% |
| FrontierMath (Feb 2025 set) | — | 0.7% |
Knowledge Gemma 3n E4b IT leads
Gemma 3n E4b IT: 34.2 (#198), Grok-2 (Dec 2024): 29.8 (#233)
| Benchmark | Gemma 3n E4b IT | Grok-2 (Dec 2024) |
|---|---|---|
| LMArena Expert | 1246 | 1254 |
| GPQA Diamond | — | 53.8% |
| Confabulations | — | 20.1% |
Multilingual Too close to call
Gemma 3n E4b IT: 43.4 (#183), Grok-2 (Dec 2024): 43.1 (#188)
| Benchmark | Gemma 3n E4b IT | Grok-2 (Dec 2024) |
|---|---|---|
| LMArena Non-English | 1285 | 1282 |
| LMArena Chinese | 1309 | 1289 |
| LMArena French | 1330 | 1318 |
| LMArena German | 1311 | 1287 |
| LMArena Japanese | 1272 | 1244 |
| LMArena Korean | 1259 | 1237 |
| LMArena Russian | 1288 | 1286 |
| LMArena Spanish | 1305 | 1281 |
Instruction Following Too close to call
Gemma 3n E4b IT: 66.1 (#210), Grok-2 (Dec 2024): 66.9 (#202)
| Benchmark | Gemma 3n E4b IT | Grok-2 (Dec 2024) |
|---|---|---|
| LMArena Instruction Following | 1255 | 1270 |
| LiveBench Instruction Following | — | 69.6% |
Long Context Too close to call
Gemma 3n E4b IT: 38.7 (#191), Grok-2 (Dec 2024): 38.8 (#190)
| Benchmark | Gemma 3n E4b IT | Grok-2 (Dec 2024) |
|---|---|---|
| LMArena Longer Query | 1276 | 1276 |
Writing & Preference Gemma 3n E4b IT leads
Gemma 3n E4b IT: 50.1 (#186), Grok-2 (Dec 2024): 48.6 (#198)
| Benchmark | Gemma 3n E4b IT | Grok-2 (Dec 2024) |
|---|---|---|
| LMArena Text | 1306 | 1305 |
| LMArena Creative Writing | 1287 | 1284 |
| LMArena Multi-Turn | 1276 | 1290 |
| Short-Story Creative Writing | — | 63.6% |
| LiveBench Language | — | 45.6% |
Frequently asked questions
Is Gemma 3n E4b IT better than Grok-2 (Dec 2024)?
Gemma 3n E4b IT is the stronger model overall, scoring 37.3 to 33.7 on the Noometry Index.
Is Gemma 3n E4b IT or Grok-2 (Dec 2024) better for coding?
Gemma 3n E4b IT scores higher on coding benchmarks: 37.0 versus 33.3 in the Noometry coding category.
How many benchmarks do Gemma 3n E4b IT and Grok-2 (Dec 2024) share?
17 benchmarks have published results for both models. Gemma 3n E4b IT has 18 scored results on Noometry and Grok-2 (Dec 2024) has 34.