# Gemma 3n E4b IT vs o3

> o3 is the stronger model overall, scoring 47.4 to 36.7 on the Noometry Index. Gemma 3n E4b IT costs 47× less per token, which makes it the better buy when o3's lead doesn't matter for your workload.

- Canonical page: https://noometry.com/compare/gemma-3n-e4b-it-vs-o3
- Last updated: 2026-10-10
- Shared benchmarks: 18

## Summary

- They share 18 benchmarks with published results for both. Gemma 3n E4b IT scores higher in 0 categories and o3 in 8 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where o3 leads 54.5 to 33.6.
- The biggest single-benchmark swing is Kagi LLM Benchmark: 31.5% for Gemma 3n E4b IT and 67.6% for o3.
- Gemma 3n E4b IT is cheaper at $0.06 / $0.12 per million input/output tokens, against $2 / $8 for o3.
- o3 accepts more context: 200K tokens versus 33K.
- Gemma 3n E4b IT has downloadable open weights; the other is API-only.

## Snapshot

| | Gemma 3n E4b IT | o3 |
|---|---|---|
| Provider | Google | OpenAI |
| Noometry Index | 36.7 | 47.4 |
| Rank | 203 | 53 |
| Context | 33K | 200K |
| Input $/M | $0.06 | $2 |
| Output $/M | $0.12 | $8 |
| Weights | Open | Proprietary |

## Coding

- Gemma 3n E4b IT: 36.4 (#193)
- o3: 47.3 (#57)

| Benchmark | Gemma 3n E4b IT | o3 |
|---|---|---|
| LMArena Coding | 1269 | 1408 |
| SWE-bench Verified | — | 62.3% |
| SWE-bench Verified (bash only) | — | 58.4% |
| Aider Polyglot | — | 81.3% |
| GSO | — | 8.8% |
| WeirdML | — | 52.4% |
| CadEval | — | 74% |
| ALE-Bench | — | 933.55 |

## Agentic & Tool Use

- Gemma 3n E4b IT: —
- o3: 34.3 (#42)

| Benchmark | Gemma 3n E4b IT | o3 |
|---|---|---|
| Berkeley Function Calling Leaderboard | — | 63% |
| GDPval | — | 30.8% |
| DeepResearch Bench | — | 45.2% |
| OSWorld | — | 23% |
| LMArena Search | — | 1144 |
| METR Time Horizons | — | 65.4% |

## Reasoning

- Gemma 3n E4b IT: 19.2 (#239)
- o3: 32.1 (#66)

| Benchmark | Gemma 3n E4b IT | o3 |
|---|---|---|
| Kagi LLM Benchmark | 31.5% | 67.6% |
| LMArena Hard Prompts | 1284 | 1402 |
| ARC-AGI-2 | — | 6.5% |
| SimpleBench | — | 53.1% |
| ARC-AGI-1 | — | 60.8% |
| CritPt | — | 1.4% |
| Chess Puzzles | — | 38% |
| EnigmaEval | — | 13.1% |
| Mystery Game Puzzles | — | 29% |
| DTBench | — | 84.8% |
| LMCA | — | 39.7% |
| Epoch Capabilities Index | — | 146.88 |
| ForecastBench | — | 62.5 |

## Math

- Gemma 3n E4b IT: 32.5 (#186)
- o3: 48.9 (#49)

| Benchmark | Gemma 3n E4b IT | o3 |
|---|---|---|
| LMArena Math | 1251 | 1426 |
| FrontierMath (Tiers 1-3) | — | 33.3% |
| OTIS Mock AIME 2024-2025 | — | 84.4% |
| Omni-MATH | — | 71.4% |
| MATH Level 5 | — | 97.8% |
| FrontierMath (Feb 2025 set) | — | 18.7% |
| FrontierMath Tier 4 (v1) | — | 2.1% |

## Knowledge

- Gemma 3n E4b IT: 33.6 (#193)
- o3: 54.5 (#47)

| Benchmark | Gemma 3n E4b IT | o3 |
|---|---|---|
| LMArena Expert | 1245 | 1403 |
| GPQA Diamond | — | 81.8% |
| Humanity's Last Exam | — | 20.3% |
| SimpleQA Verified | — | 49.4% |
| MMLU-Pro | — | 85.9% |
| Confabulations | — | 14.4% |
| GPQA (HELM) | — | 75.3% |

## Multimodal

- Gemma 3n E4b IT: —
- o3: 40.7 (#35)

| Benchmark | Gemma 3n E4b IT | o3 |
|---|---|---|
| LMArena Vision | — | 1214 |
| GeoBench | — | 74% |
| VPCT | — | 52% |

## Multilingual

- Gemma 3n E4b IT: 43.5 (#179)
- o3: 51.9 (#99)

| Benchmark | Gemma 3n E4b IT | o3 |
|---|---|---|
| LMArena Non-English | 1285 | 1402 |
| LMArena Chinese | 1310 | 1438 |
| LMArena French | 1330 | 1430 |
| LMArena German | 1312 | 1420 |
| LMArena Japanese | 1274 | 1404 |
| LMArena Korean | 1259 | 1371 |
| LMArena Russian | 1288 | 1407 |
| LMArena Spanish | 1305 | 1395 |

## Instruction Following

- Gemma 3n E4b IT: 66.3 (#205)
- o3: 73.0 (#122)

| Benchmark | Gemma 3n E4b IT | o3 |
|---|---|---|
| LMArena Instruction Following | 1255 | 1368 |
| IFEval | — | 86.9% |

## Long Context

- Gemma 3n E4b IT: 38.8 (#185)
- o3: 53.2 (#6)

| Benchmark | Gemma 3n E4b IT | o3 |
|---|---|---|
| LMArena Longer Query | 1277 | 1372 |
| Fiction.LiveBench | — | 88.9% |
| CL-bench | — | 17.8% |

## Writing & Preference

- Gemma 3n E4b IT: 50.3 (#181)
- o3: 63.7 (#62)

| Benchmark | Gemma 3n E4b IT | o3 |
|---|---|---|
| LMArena Text | 1306 | 1410 |
| LMArena Creative Writing | 1287 | 1359 |
| LMArena Multi-Turn | 1276 | 1405 |
| Short-Story Creative Writing | — | 83.9% |
| EQ-Bench Creative Writing | — | 1676 |
| WildBench | — | 86.1% |

## FAQ

### Is Gemma 3n E4b IT better than o3?

o3 is the stronger model overall, scoring 47.4 to 36.7 on the Noometry Index. Gemma 3n E4b IT costs 47× less per token, which makes it the better buy when o3's lead doesn't matter for your workload.

### Which is cheaper, Gemma 3n E4b IT or o3?

Gemma 3n E4b IT is cheaper. It lists at $0.06 per million input tokens and $0.12 per million output tokens; o3 lists at $2 and $8.

### Is Gemma 3n E4b IT or o3 better for coding?

o3 scores higher on coding benchmarks: 47.3 versus 36.4 in the Noometry coding category.

### Which has the bigger context window?

o3 does, with 200K tokens against 33K.

### How many benchmarks do Gemma 3n E4b IT and o3 share?

18 benchmarks have published results for both models. Gemma 3n E4b IT has 18 scored results on Noometry and o3 has 63.