Model comparison
Gemma 3n E4b IT vs Trinity Large Thinking
Trinity Large Thinking is the stronger model overall, scoring 38.6 to 37.3 on the Noometry Index.
Last verified . 17 shared benchmarks.
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Arcee AISummary
- They share 17 benchmarks with published results for both. Gemma 3n E4b IT scores higher in 2 categories and Trinity Large Thinking in 6 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where Trinity Large Thinking leads 40.9 to 34.2.
Side by side
| Gemma 3n E4b IT | Trinity Large Thinking | |
|---|---|---|
| Provider | Arcee AI | |
| Noometry Index | 37.3 | 38.6 |
| Released | — | 2026-04-01 |
| Weights | Open | Open |
| Context window | — | 262K |
| Max output | — | 80K |
| Input $ / M tokens | — | $0.25 |
| Output $ / M tokens | — | $0.80 |
| Results tracked | 18 | 24 |
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Category by category
Coding Gemma 3n E4b IT leads
Gemma 3n E4b IT: 37.0 (#198), Trinity Large Thinking: 34.1 (#244)
| Benchmark | Gemma 3n E4b IT | Trinity Large Thinking |
|---|---|---|
| LMArena Coding | 1268 | 1381 |
| LMArena WebDev | — | 1238 |
| SciCode | — | 36.1% |
Reasoning Gemma 3n E4b IT leads
Gemma 3n E4b IT: 19.9 (#247), Trinity Large Thinking: 16.9 (#298)
| Benchmark | Gemma 3n E4b IT | Trinity Large Thinking |
|---|---|---|
| LMArena Hard Prompts | 1284 | 1350 |
| Kagi LLM Benchmark | 31.5% | — |
| NYT Connections (extended) | — | 16.5% |
| CritPt | — | 0.9% |
| Thematic Generalization | — | 41.6% |
| Surface Evolver Bench | — | 15.6% |
Math Trinity Large Thinking leads
Gemma 3n E4b IT: 35.1 (#188), Trinity Large Thinking: 37.6 (#149)
| Benchmark | Gemma 3n E4b IT | Trinity Large Thinking |
|---|---|---|
| LMArena Math | 1251 | 1366 |
Knowledge Trinity Large Thinking leads
Gemma 3n E4b IT: 34.2 (#198), Trinity Large Thinking: 40.9 (#113)
| Benchmark | Gemma 3n E4b IT | Trinity Large Thinking |
|---|---|---|
| LMArena Expert | 1246 | 1360 |
| Vectara Hallucination Rate | — | 6.9% |
Multilingual Trinity Large Thinking leads
Gemma 3n E4b IT: 43.4 (#183), Trinity Large Thinking: 46.2 (#160)
| Benchmark | Gemma 3n E4b IT | Trinity Large Thinking |
|---|---|---|
| LMArena Non-English | 1285 | 1325 |
| LMArena Chinese | 1309 | 1373 |
| LMArena French | 1330 | 1374 |
| LMArena German | 1311 | 1356 |
| LMArena Japanese | 1272 | 1311 |
| LMArena Korean | 1259 | 1306 |
| LMArena Russian | 1288 | 1337 |
| LMArena Spanish | 1305 | 1357 |
Instruction Following Trinity Large Thinking leads
Gemma 3n E4b IT: 66.1 (#210), Trinity Large Thinking: 70.5 (#162)
| Benchmark | Gemma 3n E4b IT | Trinity Large Thinking |
|---|---|---|
| LMArena Instruction Following | 1255 | 1334 |
Long Context Trinity Large Thinking leads
Gemma 3n E4b IT: 38.7 (#191), Trinity Large Thinking: 41.3 (#144)
| Benchmark | Gemma 3n E4b IT | Trinity Large Thinking |
|---|---|---|
| LMArena Longer Query | 1276 | 1355 |
Writing & Preference Trinity Large Thinking leads
Gemma 3n E4b IT: 50.1 (#186), Trinity Large Thinking: 53.8 (#158)
| Benchmark | Gemma 3n E4b IT | Trinity Large Thinking |
|---|---|---|
| LMArena Text | 1306 | 1340 |
| LMArena Creative Writing | 1287 | 1320 |
| LMArena Multi-Turn | 1276 | 1342 |
Frequently asked questions
Is Gemma 3n E4b IT better than Trinity Large Thinking?
Trinity Large Thinking is the stronger model overall, scoring 38.6 to 37.3 on the Noometry Index.
Is Gemma 3n E4b IT or Trinity Large Thinking better for coding?
Gemma 3n E4b IT scores higher on coding benchmarks: 37.0 versus 34.1 in the Noometry coding category.
How many benchmarks do Gemma 3n E4b IT and Trinity Large Thinking share?
17 benchmarks have published results for both models. Gemma 3n E4b IT has 18 scored results on Noometry and Trinity Large Thinking has 24.