Model comparison
Gemma 3n E4b IT vs Olmo 3.1 32b Think
Gemma 3n E4b IT and Olmo 3.1 32b Think score almost the same on the Noometry Index (36.7 vs 37.3), so choose on price, context window or the category you care about most.
Last verified . 15 shared benchmarks.
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Allen Institute for AI (Ai2)Summary
- They share 15 benchmarks with published results for both. Gemma 3n E4b IT scores higher in 4 categories and Olmo 3.1 32b Think in 4 categories; 5 gaps are clear of the uncertainty.
- The widest gap is in multilingual, where Gemma 3n E4b IT leads 43.5 to 38.3.
Side by side
| Gemma 3n E4b IT | Olmo 3.1 32b Think | |
|---|---|---|
| Provider | Allen Institute for AI (Ai2) | |
| Noometry Index | 36.7 | 37.3 |
| 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 | 15 |
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Category by category
Coding Too close to call
Gemma 3n E4b IT: 36.4 (#193), Olmo 3.1 32b Think: 37.1 (#186)
| Benchmark | Gemma 3n E4b IT | Olmo 3.1 32b Think |
|---|---|---|
| LMArena Coding | 1269 | 1292 |
Reasoning Olmo 3.1 32b Think leads
Gemma 3n E4b IT: 19.2 (#239), Olmo 3.1 32b Think: 24.1 (#151)
| Benchmark | Gemma 3n E4b IT | Olmo 3.1 32b Think |
|---|---|---|
| LMArena Hard Prompts | 1284 | 1272 |
| Kagi LLM Benchmark | 31.5% | — |
Math Olmo 3.1 32b Think leads
Gemma 3n E4b IT: 32.5 (#186), Olmo 3.1 32b Think: 33.6 (#170)
| Benchmark | Gemma 3n E4b IT | Olmo 3.1 32b Think |
|---|---|---|
| LMArena Math | 1251 | 1305 |
Knowledge Olmo 3.1 32b Think leads
Gemma 3n E4b IT: 33.6 (#193), Olmo 3.1 32b Think: 35.0 (#178)
| Benchmark | Gemma 3n E4b IT | Olmo 3.1 32b Think |
|---|---|---|
| LMArena Expert | 1245 | 1294 |
Multilingual Gemma 3n E4b IT leads
Gemma 3n E4b IT: 43.5 (#179), Olmo 3.1 32b Think: 38.3 (#226)
| Benchmark | Gemma 3n E4b IT | Olmo 3.1 32b Think |
|---|---|---|
| LMArena Non-English | 1285 | 1210 |
| LMArena Chinese | 1310 | 1241 |
| LMArena French | 1330 | 1262 |
| LMArena German | 1312 | 1260 |
| LMArena Russian | 1288 | 1193 |
| LMArena Spanish | 1305 | 1288 |
| LMArena Japanese | 1274 | — |
| LMArena Korean | 1259 | — |
Instruction Following Too close to call
Gemma 3n E4b IT: 66.3 (#205), Olmo 3.1 32b Think: 65.8 (#213)
| Benchmark | Gemma 3n E4b IT | Olmo 3.1 32b Think |
|---|---|---|
| LMArena Instruction Following | 1255 | 1246 |
Long Context Too close to call
Gemma 3n E4b IT: 38.8 (#185), Olmo 3.1 32b Think: 38.6 (#190)
| Benchmark | Gemma 3n E4b IT | Olmo 3.1 32b Think |
|---|---|---|
| LMArena Longer Query | 1277 | 1272 |
Writing & Preference Gemma 3n E4b IT leads
Gemma 3n E4b IT: 50.3 (#181), Olmo 3.1 32b Think: 46.4 (#215)
| Benchmark | Gemma 3n E4b IT | Olmo 3.1 32b Think |
|---|---|---|
| LMArena Text | 1306 | 1271 |
| LMArena Creative Writing | 1287 | 1226 |
| LMArena Multi-Turn | 1276 | 1252 |
Frequently asked questions
Is Gemma 3n E4b IT better than Olmo 3.1 32b Think?
Gemma 3n E4b IT and Olmo 3.1 32b Think score almost the same on the Noometry Index (36.7 vs 37.3), so choose on price, context window or the category you care about most.
Is Gemma 3n E4b IT or Olmo 3.1 32b Think better for coding?
They score almost the same on coding (36.4 vs 37.1); test both on your own repository before choosing.
How many benchmarks do Gemma 3n E4b IT and Olmo 3.1 32b Think share?
15 benchmarks have published results for both models. Gemma 3n E4b IT has 18 scored results on Noometry and Olmo 3.1 32b Think has 15.