Model comparison
Gemma 3n E4b IT vs o3
o3 is the stronger model overall, scoring 47.5 to 37.3 on the Noometry Index.
Last verified . 18 shared benchmarks.
GoogleSummary
- 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 54.6 to 34.2.
- 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 has downloadable open weights; the other is API-only.
Side by side
| Gemma 3n E4b IT | o3 | |
|---|---|---|
| Provider | OpenAI | |
| Noometry Index | 37.3 | 47.5 |
| Released | — | 2025-04-16 |
| Weights | Open | Proprietary |
| Context window | — | 200K |
| Max output | — | 100K |
| Input $ / M tokens | — | $2 |
| Output $ / M tokens | — | $8 |
| Results tracked | 18 | 63 |
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Category by category
Coding o3 leads
Gemma 3n E4b IT: 37.0 (#198), o3: 46.8 (#64)
| Benchmark | Gemma 3n E4b IT | o3 |
|---|---|---|
| LMArena Coding | 1268 | 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 Not comparable
Gemma 3n E4b IT: —, o3: 34.5 (#44)
| 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 o3 leads
Gemma 3n E4b IT: 19.9 (#247), o3: 32.0 (#78)
| 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 | — | 146.86 |
| ForecastBench | — | 62.5 |
Math o3 leads
Gemma 3n E4b IT: 35.1 (#188), o3: 50.2 (#58)
| 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 o3 leads
Gemma 3n E4b IT: 34.2 (#198), o3: 54.6 (#52)
| Benchmark | Gemma 3n E4b IT | o3 |
|---|---|---|
| LMArena Expert | 1246 | 1402 |
| 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 Not comparable
Gemma 3n E4b IT: —, o3: 41.4 (#36)
| Benchmark | Gemma 3n E4b IT | o3 |
|---|---|---|
| LMArena Vision | — | 1214 |
| GeoBench | — | 74% |
| VPCT | — | 52% |
Multilingual o3 leads
Gemma 3n E4b IT: 43.4 (#183), o3: 51.7 (#105)
| Benchmark | Gemma 3n E4b IT | o3 |
|---|---|---|
| LMArena Non-English | 1285 | 1401 |
| LMArena Chinese | 1309 | 1437 |
| LMArena French | 1330 | 1430 |
| LMArena German | 1311 | 1420 |
| LMArena Japanese | 1272 | 1403 |
| LMArena Korean | 1259 | 1370 |
| LMArena Russian | 1288 | 1406 |
| LMArena Spanish | 1305 | 1395 |
Instruction Following o3 leads
Gemma 3n E4b IT: 66.1 (#210), o3: 72.8 (#127)
| Benchmark | Gemma 3n E4b IT | o3 |
|---|---|---|
| LMArena Instruction Following | 1255 | 1368 |
| IFEval | — | 86.9% |
Long Context o3 leads
Gemma 3n E4b IT: 38.7 (#191), o3: 53.3 (#6)
| Benchmark | Gemma 3n E4b IT | o3 |
|---|---|---|
| LMArena Longer Query | 1276 | 1372 |
| Fiction.LiveBench | — | 88.9% |
| CL-bench | — | 17.8% |
Writing & Preference o3 leads
Gemma 3n E4b IT: 50.1 (#186), o3: 63.5 (#64)
| 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% |
Frequently asked questions
Is Gemma 3n E4b IT better than o3?
o3 is the stronger model overall, scoring 47.5 to 37.3 on the Noometry Index.
Is Gemma 3n E4b IT or o3 better for coding?
o3 scores higher on coding benchmarks: 46.8 versus 37.0 in the Noometry coding category.
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.