# Gemini 3.1 Pro Preview vs Gemma 3n E4b IT

> Gemini 3.1 Pro Preview is the stronger model overall, scoring 56.7 to 36.7 on the Noometry Index. Gemma 3n E4b IT costs 60× less per token, which makes it the better buy when Gemini 3.1 Pro Preview's lead doesn't matter for your workload.

- Canonical page: https://noometry.com/compare/gemini-3-1-pro-preview-vs-gemma-3n-e4b-it
- Last updated: 2026-10-10
- Shared benchmarks: 17

## Summary

- They share 17 benchmarks with published results for both. Gemini 3.1 Pro Preview scores higher in 8 categories and Gemma 3n E4b IT in 0 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where Gemini 3.1 Pro Preview leads 71.7 to 19.2.
- Gemma 3n E4b IT is cheaper at $0.06 / $0.12 per million input/output tokens, against $2 / $12 for Gemini 3.1 Pro Preview.
- Gemini 3.1 Pro Preview accepts more context: 1.05M tokens versus 33K.
- Gemma 3n E4b IT has downloadable open weights; the other is API-only.

## Snapshot

| | Gemini 3.1 Pro Preview | Gemma 3n E4b IT |
|---|---|---|
| Provider | Google | Google |
| Noometry Index | 56.7 | 36.7 |
| Rank | 20 | 203 |
| Context | 1.05M | 33K |
| Input $/M | $2 | $0.06 |
| Output $/M | $12 | $0.12 |
| Weights | Proprietary | Open |

## Coding

- Gemini 3.1 Pro Preview: 42.7 (#88)
- Gemma 3n E4b IT: 36.4 (#193)

| Benchmark | Gemini 3.1 Pro Preview | Gemma 3n E4b IT |
|---|---|---|
| LMArena Coding | 1483 | 1269 |
| SWE-bench Verified | 75.6% | — |
| DeepSWE | 11.7% | — |
| LMArena WebDev | 1446 | — |
| SciCode | 58.9% | — |
| GSO | 22.6% | — |
| WeirdML | 72.1% | — |
| MirrorCode | 8.9% | — |
| ALE-Bench | 1,161 | — |
| AlgoTune | 2.02 | — |

## Agentic & Tool Use

- Gemini 3.1 Pro Preview: 37.7 (#33)
- Gemma 3n E4b IT: —

| Benchmark | Gemini 3.1 Pro Preview | Gemma 3n E4b IT |
|---|---|---|
| Terminal-Bench | 80.2% | — |
| APEX-Agents | 35.3% | — |
| τ²-bench Banking | 26% | — |
| DeepResearch Bench | 47.8% | — |
| PostTrainBench | 22% | — |
| BALROG | 57% | — |
| ExploitBench | 26.1% | — |
| GBAEval | 0.8% | — |
| GDP.pdf | 17% | — |
| LMArena Search | 1211 | — |
| METR Time Horizons | 77% | — |
| Vending-Bench 2 | 3,774 | — |

## Reasoning

- Gemini 3.1 Pro Preview: 71.7 (#9)
- Gemma 3n E4b IT: 19.2 (#239)

| Benchmark | Gemini 3.1 Pro Preview | Gemma 3n E4b IT |
|---|---|---|
| LMArena Hard Prompts | 1484 | 1284 |
| ARC-AGI-2 | 77.1% | — |
| SimpleBench | 79.6% | — |
| Kagi LLM Benchmark | — | 31.5% |
| NYT Connections (extended) | 97.4% | — |
| ARC-AGI-1 | 98% | — |
| CritPt | 17.7% | — |
| Chess Puzzles | 55% | — |
| EnigmaEval | 36.8% | — |
| Thematic Generalization | 79.4% | — |
| EBR-Bench | 14.3% | — |
| Mystery Game Puzzles | 34% | — |
| DTBench | 97.1% | — |
| LMCA | 53.8% | — |
| Epoch Capabilities Index | 154.92 | — |
| ForecastBench | 59 | — |

## Math

- Gemini 3.1 Pro Preview: 61.8 (#28)
- Gemma 3n E4b IT: 32.5 (#186)

| Benchmark | Gemini 3.1 Pro Preview | Gemma 3n E4b IT |
|---|---|---|
| LMArena Math | 1485 | 1251 |
| FrontierMath (Tiers 1-3) | 59.6% | — |
| FrontierMath Tier 4 | 26.8% | — |
| MathArena Final-Answer Competitions | 86.5% | — |
| OTIS Mock AIME 2024-2025 | 95.6% | — |
| ProofBench | 26% | — |
| FrontierMath (Feb 2025 set) | 36.9% | — |
| FrontierMath Tier 4 (v1) | 16.7% | — |

## Knowledge

- Gemini 3.1 Pro Preview: 71.8 (#3)
- Gemma 3n E4b IT: 33.6 (#193)

| Benchmark | Gemini 3.1 Pro Preview | Gemma 3n E4b IT |
|---|---|---|
| LMArena Expert | 1484 | 1245 |
| GPQA Diamond | 94.4% | — |
| Humanity's Last Exam | 46.4% | — |
| SimpleQA Verified | 73.5% | — |
| Vectara Hallucination Rate | 10.4% | — |

## Multimodal

- Gemini 3.1 Pro Preview: 38.1 (#60)
- Gemma 3n E4b IT: —

| Benchmark | Gemini 3.1 Pro Preview | Gemma 3n E4b IT |
|---|---|---|
| LMArena Vision | 1296 | — |
| Blueprint-Bench 2 | 26.5% | — |
| Furniture Assembly | 26.7% | — |
| LMArena Document | 1444 | — |

## Multilingual

- Gemini 3.1 Pro Preview: 57.1 (#11)
- Gemma 3n E4b IT: 43.5 (#179)

| Benchmark | Gemini 3.1 Pro Preview | Gemma 3n E4b IT |
|---|---|---|
| LMArena Non-English | 1475 | 1285 |
| LMArena Chinese | 1528 | 1310 |
| LMArena French | 1488 | 1330 |
| LMArena German | 1491 | 1312 |
| LMArena Japanese | 1494 | 1274 |
| LMArena Korean | 1458 | 1259 |
| LMArena Russian | 1496 | 1288 |
| LMArena Spanish | 1480 | 1305 |

## Instruction Following

- Gemini 3.1 Pro Preview: 77.1 (#31)
- Gemma 3n E4b IT: 66.3 (#205)

| Benchmark | Gemini 3.1 Pro Preview | Gemma 3n E4b IT |
|---|---|---|
| LMArena Instruction Following | 1465 | 1255 |

## Long Context

- Gemini 3.1 Pro Preview: 47.3 (#17)
- Gemma 3n E4b IT: 38.8 (#185)

| Benchmark | Gemini 3.1 Pro Preview | Gemma 3n E4b IT |
|---|---|---|
| LMArena Longer Query | 1482 | 1277 |
| CL-bench | 20.8% | — |
| CL-bench Life | 16.9% | — |

## Writing & Preference

- Gemini 3.1 Pro Preview: 66.3 (#36)
- Gemma 3n E4b IT: 50.3 (#181)

| Benchmark | Gemini 3.1 Pro Preview | Gemma 3n E4b IT |
|---|---|---|
| LMArena Text | 1480 | 1306 |
| LMArena Creative Writing | 1482 | 1287 |
| LMArena Multi-Turn | 1486 | 1276 |
| EQ-Bench Creative Writing | 1491 | — |
| EQ-Bench 4 | 1142 | — |

## FAQ

### Is Gemini 3.1 Pro Preview better than Gemma 3n E4b IT?

Gemini 3.1 Pro Preview is the stronger model overall, scoring 56.7 to 36.7 on the Noometry Index. Gemma 3n E4b IT costs 60× less per token, which makes it the better buy when Gemini 3.1 Pro Preview's lead doesn't matter for your workload.

### Which is cheaper, Gemini 3.1 Pro Preview or Gemma 3n E4b IT?

Gemma 3n E4b IT is cheaper. It lists at $0.06 per million input tokens and $0.12 per million output tokens; Gemini 3.1 Pro Preview lists at $2 and $12.

### Is Gemini 3.1 Pro Preview or Gemma 3n E4b IT better for coding?

Gemini 3.1 Pro Preview scores higher on coding benchmarks: 42.7 versus 36.4 in the Noometry coding category.

### Which has the bigger context window?

Gemini 3.1 Pro Preview does, with 1.05M tokens against 33K.

### How many benchmarks do Gemini 3.1 Pro Preview and Gemma 3n E4b IT share?

17 benchmarks have published results for both models. Gemini 3.1 Pro Preview has 71 scored results on Noometry and Gemma 3n E4b IT has 18.
