Model comparison
Gemma 3n E4b IT vs Olmo 2 0325 32b Instruct
Gemma 3n E4b IT is the stronger model overall, scoring 36.7 to 32.2 on the Noometry Index.
Last verified . 11 shared benchmarks.
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Allen Institute for AI (Ai2)Summary
- They share 11 benchmarks with published results for both. Gemma 3n E4b IT scores higher in 7 categories and Olmo 2 0325 32b Instruct in 1 category; 8 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where Gemma 3n E4b IT leads 33.6 to 19.2.
Side by side
| Gemma 3n E4b IT | Olmo 2 0325 32b Instruct | |
|---|---|---|
| Provider | Allen Institute for AI (Ai2) | |
| Noometry Index | 36.7 | 32.2 |
| Released | 2025-05-20 | — |
| Weights | Open | Open |
| Context window | 33K | — |
| Max output | 33K | — |
| Input $ / M tokens | $0.06 | — |
| Output $ / M tokens | $0.12 | — |
| Results tracked | 18 | 16 |
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Category by category
Coding Gemma 3n E4b IT leads
Gemma 3n E4b IT: 36.4 (#193), Olmo 2 0325 32b Instruct: 34.6 (#222)
| Benchmark | Gemma 3n E4b IT | Olmo 2 0325 32b Instruct |
|---|---|---|
| LMArena Coding | 1269 | 1210 |
Reasoning Olmo 2 0325 32b Instruct leads
Gemma 3n E4b IT: 19.2 (#239), Olmo 2 0325 32b Instruct: 22.6 (#174)
| Benchmark | Gemma 3n E4b IT | Olmo 2 0325 32b Instruct |
|---|---|---|
| LMArena Hard Prompts | 1284 | 1208 |
| Kagi LLM Benchmark | 31.5% | — |
Math Gemma 3n E4b IT leads
Gemma 3n E4b IT: 32.5 (#186), Olmo 2 0325 32b Instruct: 24.8 (#255)
| Benchmark | Gemma 3n E4b IT | Olmo 2 0325 32b Instruct |
|---|---|---|
| LMArena Math | 1251 | 1208 |
| Omni-MATH | — | 16.1% |
Knowledge Gemma 3n E4b IT leads
Gemma 3n E4b IT: 33.6 (#193), Olmo 2 0325 32b Instruct: 19.2 (#274)
| Benchmark | Gemma 3n E4b IT | Olmo 2 0325 32b Instruct |
|---|---|---|
| MMLU-Pro | — | 41.4% |
| GPQA (HELM) | — | 28.7% |
| LMArena Expert | 1245 | — |
Multilingual Gemma 3n E4b IT leads
Gemma 3n E4b IT: 43.5 (#179), Olmo 2 0325 32b Instruct: 35.0 (#243)
| Benchmark | Gemma 3n E4b IT | Olmo 2 0325 32b Instruct |
|---|---|---|
| LMArena Non-English | 1285 | 1160 |
| LMArena Chinese | 1310 | 1192 |
| LMArena Russian | 1288 | 1187 |
| LMArena French | 1330 | — |
| LMArena German | 1312 | — |
| LMArena Japanese | 1274 | — |
| LMArena Korean | 1259 | — |
| LMArena Spanish | 1305 | — |
Instruction Following Gemma 3n E4b IT leads
Gemma 3n E4b IT: 66.3 (#205), Olmo 2 0325 32b Instruct: 61.8 (#238)
| Benchmark | Gemma 3n E4b IT | Olmo 2 0325 32b Instruct |
|---|---|---|
| LMArena Instruction Following | 1255 | 1186 |
| IFEval | — | 78% |
Long Context Gemma 3n E4b IT leads
Gemma 3n E4b IT: 38.8 (#185), Olmo 2 0325 32b Instruct: 36.2 (#229)
| Benchmark | Gemma 3n E4b IT | Olmo 2 0325 32b Instruct |
|---|---|---|
| LMArena Longer Query | 1277 | 1194 |
Writing & Preference Gemma 3n E4b IT leads
Gemma 3n E4b IT: 50.3 (#181), Olmo 2 0325 32b Instruct: 42.3 (#231)
| Benchmark | Gemma 3n E4b IT | Olmo 2 0325 32b Instruct |
|---|---|---|
| LMArena Text | 1306 | 1218 |
| LMArena Creative Writing | 1287 | 1199 |
| LMArena Multi-Turn | 1276 | 1221 |
| WildBench | — | 73.4% |
Frequently asked questions
Is Gemma 3n E4b IT better than Olmo 2 0325 32b Instruct?
Gemma 3n E4b IT is the stronger model overall, scoring 36.7 to 32.2 on the Noometry Index.
Is Gemma 3n E4b IT or Olmo 2 0325 32b Instruct better for coding?
Gemma 3n E4b IT scores higher on coding benchmarks: 36.4 versus 34.6 in the Noometry coding category.
How many benchmarks do Gemma 3n E4b IT and Olmo 2 0325 32b Instruct share?
11 benchmarks have published results for both models. Gemma 3n E4b IT has 18 scored results on Noometry and Olmo 2 0325 32b Instruct has 16.