Model comparison
Gemma 3n E4b IT vs o3-pro
o3-pro is the stronger model overall, scoring 42.7 to 36.7 on the Noometry Index. Gemma 3n E4b IT costs 467× less per token, which makes it the better buy when o3-pro's lead doesn't matter for your workload.
Last verified . 1 shared benchmarks.
Summary
- They share 1 benchmark with published results for both. Gemma 3n E4b IT scores higher in 1 category and o3-pro in 4 categories; 5 gaps are clear of the uncertainty.
- The widest gap is in long context, where o3-pro leads 72.1 to 38.8.
- The biggest single-benchmark swing is Kagi LLM Benchmark: 31.5% for Gemma 3n E4b IT and 72.1% for o3-pro.
- Gemma 3n E4b IT is cheaper at $0.06 / $0.12 per million input/output tokens, against $20 / $80 for o3-pro.
- o3-pro accepts more context: 200K tokens versus 33K.
- Gemma 3n E4b IT has downloadable open weights; the other is API-only.
Side by side
| Gemma 3n E4b IT | o3-pro | |
|---|---|---|
| Provider | OpenAI | |
| Noometry Index | 36.7 | 42.7 |
| Released | 2025-05-20 | 2025-06-10 |
| Weights | Open | Proprietary |
| Context window | 33K | 200K |
| Max output | 33K | 100K |
| Input $ / M tokens | $0.06 | $20 |
| Output $ / M tokens | $0.12 | $80 |
| Results tracked | 18 | 12 |
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Category by category
Coding o3-pro leads
Gemma 3n E4b IT: 36.4 (#193), o3-pro: 55.1 (#22)
| Benchmark | Gemma 3n E4b IT | o3-pro |
|---|---|---|
| Aider Polyglot | — | 84.9% |
| WeirdML | — | 58.2% |
| LMArena Coding | 1269 | — |
Reasoning o3-pro leads
Gemma 3n E4b IT: 19.2 (#239), o3-pro: 24.1 (#152)
| Benchmark | Gemma 3n E4b IT | o3-pro |
|---|---|---|
| Kagi LLM Benchmark | 31.5% | 72.1% |
| ARC-AGI-2 | — | 4.9% |
| ARC-AGI-1 | — | 59.3% |
| LMArena Hard Prompts | 1284 | — |
| DTBench | — | 86.9% |
| LMCA | — | 38.5% |
| Epoch Capabilities Index | — | 147.43 |
Math Not comparable
Gemma 3n E4b IT: 32.5 (#186), o3-pro: —
| Benchmark | Gemma 3n E4b IT | o3-pro |
|---|---|---|
| LMArena Math | 1251 | — |
Knowledge Gemma 3n E4b IT leads
Gemma 3n E4b IT: 33.6 (#193), o3-pro: 29.0 (#234)
| Benchmark | Gemma 3n E4b IT | o3-pro |
|---|---|---|
| Confabulations | — | 14.2% |
| Vectara Hallucination Rate | — | 23.3% |
| LMArena Expert | 1245 | — |
Multilingual Not comparable
Gemma 3n E4b IT: 43.5 (#179), o3-pro: —
| Benchmark | Gemma 3n E4b IT | o3-pro |
|---|---|---|
| LMArena Non-English | 1285 | — |
| LMArena Chinese | 1310 | — |
| LMArena French | 1330 | — |
| LMArena German | 1312 | — |
| LMArena Japanese | 1274 | — |
| LMArena Korean | 1259 | — |
| LMArena Russian | 1288 | — |
| LMArena Spanish | 1305 | — |
Instruction Following Not comparable
Gemma 3n E4b IT: 66.3 (#205), o3-pro: —
| Benchmark | Gemma 3n E4b IT | o3-pro |
|---|---|---|
| LMArena Instruction Following | 1255 | — |
Long Context o3-pro leads
Gemma 3n E4b IT: 38.8 (#185), o3-pro: 72.1 (#1)
| Benchmark | Gemma 3n E4b IT | o3-pro |
|---|---|---|
| Fiction.LiveBench | — | 97.2% |
| LMArena Longer Query | 1277 | — |
Writing & Preference o3-pro leads
Gemma 3n E4b IT: 50.3 (#181), o3-pro: 57.1 (#128)
| Benchmark | Gemma 3n E4b IT | o3-pro |
|---|---|---|
| LMArena Text | 1306 | — |
| LMArena Creative Writing | 1287 | — |
| Short-Story Creative Writing | — | 84.4% |
| LMArena Multi-Turn | 1276 | — |
Frequently asked questions
Is Gemma 3n E4b IT better than o3-pro?
o3-pro is the stronger model overall, scoring 42.7 to 36.7 on the Noometry Index. Gemma 3n E4b IT costs 467× less per token, which makes it the better buy when o3-pro's lead doesn't matter for your workload.
Which is cheaper, Gemma 3n E4b IT or o3-pro?
Gemma 3n E4b IT is cheaper. It lists at $0.06 per million input tokens and $0.12 per million output tokens; o3-pro lists at $20 and $80.
Is Gemma 3n E4b IT or o3-pro better for coding?
o3-pro scores higher on coding benchmarks: 55.1 versus 36.4 in the Noometry coding category.
Which has the bigger context window?
o3-pro does, with 200K tokens against 33K.
How many benchmarks do Gemma 3n E4b IT and o3-pro share?
1 benchmark has published results for both models. Gemma 3n E4b IT has 18 scored results on Noometry and o3-pro has 12.