# Gemma 3n E4b IT vs Nemotron 3 Super

> Nemotron 3 Super is the stronger model overall, scoring 39.6 to 36.7 on the Noometry Index. Gemma 3n E4b IT costs 2.3× less per token, which makes it the better buy when Nemotron 3 Super's lead doesn't matter for your workload.

- Canonical page: https://noometry.com/compare/gemma-3n-e4b-it-vs-nemotron-3-super
- Last updated: 2026-10-10
- Shared benchmarks: 15

## Summary

- They share 15 benchmarks with published results for both. Gemma 3n E4b IT scores higher in 1 category and Nemotron 3 Super in 7 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where Nemotron 3 Super leads 56.1 to 50.3.
- Gemma 3n E4b IT is cheaper at $0.06 / $0.12 per million input/output tokens, against $0.08 / $0.45 for Nemotron 3 Super.
- Nemotron 3 Super accepts more context: 262K tokens versus 33K.

## Snapshot

| | Gemma 3n E4b IT | Nemotron 3 Super |
|---|---|---|
| Provider | Google | NVIDIA |
| Noometry Index | 36.7 | 39.6 |
| Rank | 203 | 147 |
| Context | 33K | 262K |
| Input $/M | $0.06 | $0.08 |
| Output $/M | $0.12 | $0.45 |
| Weights | Open | Open |

## Coding

- Gemma 3n E4b IT: 36.4 (#193)
- Nemotron 3 Super: 38.9 (#153)

| Benchmark | Gemma 3n E4b IT | Nemotron 3 Super |
|---|---|---|
| LMArena Coding | 1269 | 1403 |
| SciCode | — | 36% |
| WeirdML | — | 38% |
| ALE-Bench | — | 213.9 |

## Reasoning

- Gemma 3n E4b IT: 19.2 (#239)
- Nemotron 3 Super: 17.9 (#274)

| Benchmark | Gemma 3n E4b IT | Nemotron 3 Super |
|---|---|---|
| LMArena Hard Prompts | 1284 | 1386 |
| Kagi LLM Benchmark | 31.5% | — |
| NYT Connections (extended) | — | 15.4% |
| CritPt | — | 3.1% |

## Math

- Gemma 3n E4b IT: 32.5 (#186)
- Nemotron 3 Super: 37.6 (#95)

| Benchmark | Gemma 3n E4b IT | Nemotron 3 Super |
|---|---|---|
| LMArena Math | 1251 | 1381 |
| MathArena Final-Answer Competitions | — | 60.4% |

## Knowledge

- Gemma 3n E4b IT: 33.6 (#193)
- Nemotron 3 Super: 38.2 (#136)

| Benchmark | Gemma 3n E4b IT | Nemotron 3 Super |
|---|---|---|
| LMArena Expert | 1245 | 1397 |

## Multilingual

- Gemma 3n E4b IT: 43.5 (#179)
- Nemotron 3 Super: 48.6 (#139)

| Benchmark | Gemma 3n E4b IT | Nemotron 3 Super |
|---|---|---|
| LMArena Non-English | 1285 | 1356 |
| LMArena Chinese | 1310 | 1430 |
| LMArena French | 1330 | 1404 |
| LMArena German | 1312 | 1341 |
| LMArena Russian | 1288 | 1336 |
| LMArena Spanish | 1305 | 1417 |
| LMArena Japanese | 1274 | — |
| LMArena Korean | 1259 | — |

## Instruction Following

- Gemma 3n E4b IT: 66.3 (#205)
- Nemotron 3 Super: 71.4 (#149)

| Benchmark | Gemma 3n E4b IT | Nemotron 3 Super |
|---|---|---|
| LMArena Instruction Following | 1255 | 1347 |

## Long Context

- Gemma 3n E4b IT: 38.8 (#185)
- Nemotron 3 Super: 41.5 (#134)

| Benchmark | Gemma 3n E4b IT | Nemotron 3 Super |
|---|---|---|
| LMArena Longer Query | 1277 | 1362 |

## Writing & Preference

- Gemma 3n E4b IT: 50.3 (#181)
- Nemotron 3 Super: 56.1 (#135)

| Benchmark | Gemma 3n E4b IT | Nemotron 3 Super |
|---|---|---|
| LMArena Text | 1306 | 1378 |
| LMArena Creative Writing | 1287 | 1317 |
| LMArena Multi-Turn | 1276 | 1369 |

## FAQ

### Is Gemma 3n E4b IT better than Nemotron 3 Super?

Nemotron 3 Super is the stronger model overall, scoring 39.6 to 36.7 on the Noometry Index. Gemma 3n E4b IT costs 2.3× less per token, which makes it the better buy when Nemotron 3 Super's lead doesn't matter for your workload.

### Which is cheaper, Gemma 3n E4b IT or Nemotron 3 Super?

Gemma 3n E4b IT is cheaper. It lists at $0.06 per million input tokens and $0.12 per million output tokens; Nemotron 3 Super lists at $0.08 and $0.45.

### Is Gemma 3n E4b IT or Nemotron 3 Super better for coding?

Nemotron 3 Super scores higher on coding benchmarks: 38.9 versus 36.4 in the Noometry coding category.

### Which has the bigger context window?

Nemotron 3 Super does, with 262K tokens against 33K.

### How many benchmarks do Gemma 3n E4b IT and Nemotron 3 Super share?

15 benchmarks have published results for both models. Gemma 3n E4b IT has 18 scored results on Noometry and Nemotron 3 Super has 21.