Model comparison
Gemma 3n E4b IT vs Step 2 16k Exp 202412
Step 2 16k Exp 202412 is the stronger model overall, scoring 38.6 to 36.7 on the Noometry Index.
Last verified . 12 shared benchmarks.
Google
StepFunSummary
- They share 12 benchmarks with published results for both. Gemma 3n E4b IT scores higher in 0 categories and Step 2 16k Exp 202412 in 8 categories; 5 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where Step 2 16k Exp 202412 leads 24.8 to 19.2.
- Gemma 3n E4b IT has downloadable open weights; the other is API-only.
Side by side
| Gemma 3n E4b IT | Step 2 16k Exp 202412 | |
|---|---|---|
| Provider | StepFun | |
| Noometry Index | 36.7 | 38.6 |
| Released | 2025-05-20 | — |
| Weights | Open | Proprietary |
| Context window | 33K | — |
| Max output | 33K | — |
| Input $ / M tokens | $0.06 | — |
| Output $ / M tokens | $0.12 | — |
| Results tracked | 18 | 12 |
Sponsored placements are available on pages like this one. Advertise on Noometry
Category by category
Coding Step 2 16k Exp 202412 leads
Gemma 3n E4b IT: 36.4 (#193), Step 2 16k Exp 202412: 37.9 (#170)
| Benchmark | Gemma 3n E4b IT | Step 2 16k Exp 202412 |
|---|---|---|
| LMArena Coding | 1269 | 1316 |
Reasoning Step 2 16k Exp 202412 leads
Gemma 3n E4b IT: 19.2 (#239), Step 2 16k Exp 202412: 24.8 (#140)
| Benchmark | Gemma 3n E4b IT | Step 2 16k Exp 202412 |
|---|---|---|
| LMArena Hard Prompts | 1284 | 1299 |
| Kagi LLM Benchmark | 31.5% | — |
Math Step 2 16k Exp 202412 leads
Gemma 3n E4b IT: 32.5 (#186), Step 2 16k Exp 202412: 33.6 (#171)
| Benchmark | Gemma 3n E4b IT | Step 2 16k Exp 202412 |
|---|---|---|
| LMArena Math | 1251 | 1305 |
Knowledge Too close to call
Gemma 3n E4b IT: 33.6 (#193), Step 2 16k Exp 202412: 34.6 (#187)
| Benchmark | Gemma 3n E4b IT | Step 2 16k Exp 202412 |
|---|---|---|
| LMArena Expert | 1245 | 1279 |
Multilingual Too close to call
Gemma 3n E4b IT: 43.5 (#179), Step 2 16k Exp 202412: 43.9 (#176)
| Benchmark | Gemma 3n E4b IT | Step 2 16k Exp 202412 |
|---|---|---|
| LMArena Non-English | 1285 | 1290 |
| LMArena Chinese | 1310 | 1331 |
| LMArena Russian | 1288 | 1324 |
| LMArena French | 1330 | — |
| LMArena German | 1312 | — |
| LMArena Japanese | 1274 | — |
| LMArena Korean | 1259 | — |
| LMArena Spanish | 1305 | — |
Instruction Following Step 2 16k Exp 202412 leads
Gemma 3n E4b IT: 66.3 (#205), Step 2 16k Exp 202412: 68.1 (#187)
| Benchmark | Gemma 3n E4b IT | Step 2 16k Exp 202412 |
|---|---|---|
| LMArena Instruction Following | 1255 | 1287 |
Long Context Too close to call
Gemma 3n E4b IT: 38.8 (#185), Step 2 16k Exp 202412: 39.7 (#165)
| Benchmark | Gemma 3n E4b IT | Step 2 16k Exp 202412 |
|---|---|---|
| LMArena Longer Query | 1277 | 1307 |
Writing & Preference Step 2 16k Exp 202412 leads
Gemma 3n E4b IT: 50.3 (#181), Step 2 16k Exp 202412: 52.5 (#168)
| Benchmark | Gemma 3n E4b IT | Step 2 16k Exp 202412 |
|---|---|---|
| LMArena Text | 1306 | 1321 |
| LMArena Creative Writing | 1287 | 1328 |
| LMArena Multi-Turn | 1276 | 1292 |
Frequently asked questions
Is Gemma 3n E4b IT better than Step 2 16k Exp 202412?
Step 2 16k Exp 202412 is the stronger model overall, scoring 38.6 to 36.7 on the Noometry Index.
Is Gemma 3n E4b IT or Step 2 16k Exp 202412 better for coding?
Step 2 16k Exp 202412 scores higher on coding benchmarks: 37.9 versus 36.4 in the Noometry coding category.
How many benchmarks do Gemma 3n E4b IT and Step 2 16k Exp 202412 share?
12 benchmarks have published results for both models. Gemma 3n E4b IT has 18 scored results on Noometry and Step 2 16k Exp 202412 has 12.