Model comparison
Gemma 3 12B vs Trinity Large Thinking
Trinity Large Thinking is the stronger model overall, scoring 38.6 to 32.1 on the Noometry Index. Gemma 3 12B costs 5.2× less per token, which makes it the better buy when Trinity Large Thinking's lead doesn't matter for your workload.
Last verified . 15 shared benchmarks.
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Arcee AISummary
- They share 15 benchmarks with published results for both. Gemma 3 12B scores higher in 0 categories and Trinity Large Thinking in 8 categories; 7 gaps are clear of the uncertainty.
- The widest gap is in math, where Trinity Large Thinking leads 37.6 to 22.3.
- The biggest single-benchmark swing is SciCode: 17.4% for Gemma 3 12B and 36.1% for Trinity Large Thinking.
- Gemma 3 12B is cheaper at $0.05 / $0.15 per million input/output tokens, against $0.25 / $0.80 for Trinity Large Thinking.
- Trinity Large Thinking accepts more context: 262K tokens versus 131K.
Side by side
| Gemma 3 12B | Trinity Large Thinking | |
|---|---|---|
| Provider | Arcee AI | |
| Noometry Index | 32.1 | 38.6 |
| Released | 2025-03-12 | 2026-04-01 |
| Weights | Open | Open |
| Context window | 131K | 262K |
| Max output | 8K | 80K |
| Input $ / M tokens | $0.05 | $0.25 |
| Output $ / M tokens | $0.15 | $0.80 |
| Results tracked | 24 | 24 |
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Category by category
Coding Trinity Large Thinking leads
Gemma 3 12B: 31.7 (#280), Trinity Large Thinking: 34.1 (#244)
| Benchmark | Gemma 3 12B | Trinity Large Thinking |
|---|---|---|
| SciCode | 17.4% | 36.1% |
| LMArena Coding | 1281 | 1381 |
| LMArena WebDev | — | 1238 |
Agentic & Tool Use Not comparable
Gemma 3 12B: 25.5 (#108), Trinity Large Thinking: —
| Benchmark | Gemma 3 12B | Trinity Large Thinking |
|---|---|---|
| Berkeley Function Calling Leaderboard | 30.4% | — |
Reasoning Trinity Large Thinking leads
Gemma 3 12B: 15.7 (#313), Trinity Large Thinking: 16.9 (#298)
| Benchmark | Gemma 3 12B | Trinity Large Thinking |
|---|---|---|
| CritPt | 0% | 0.9% |
| LMArena Hard Prompts | 1309 | 1350 |
| NYT Connections (extended) | — | 16.5% |
| Chess Puzzles | 0% | — |
| Thematic Generalization | — | 41.6% |
| DTBench | 48.8% | — |
| LMCA | 4.5% | — |
| Surface Evolver Bench | — | 15.6% |
| Epoch Capabilities Index | 123.5 | — |
Math Trinity Large Thinking leads
Gemma 3 12B: 22.3 (#279), Trinity Large Thinking: 37.6 (#149)
| Benchmark | Gemma 3 12B | Trinity Large Thinking |
|---|---|---|
| LMArena Math | 1307 | 1366 |
| OTIS Mock AIME 2024-2025 | 16.7% | — |
Knowledge Trinity Large Thinking leads
Gemma 3 12B: 26.5 (#257), Trinity Large Thinking: 40.9 (#113)
| Benchmark | Gemma 3 12B | Trinity Large Thinking |
|---|---|---|
| Vectara Hallucination Rate | 4.4% | 6.9% |
| LMArena Expert | 1248 | 1360 |
| GPQA Diamond | 39.5% | — |
Multimodal Not comparable
Gemma 3 12B: —, Trinity Large Thinking: —
| Benchmark | Gemma 3 12B | Trinity Large Thinking |
|---|---|---|
| MindCube | 46.7% | — |
Multilingual Too close to call
Gemma 3 12B: 45.7 (#165), Trinity Large Thinking: 46.2 (#160)
| Benchmark | Gemma 3 12B | Trinity Large Thinking |
|---|---|---|
| LMArena Non-English | 1318 | 1325 |
| LMArena German | 1370 | 1356 |
| LMArena Russian | 1335 | 1337 |
| LMArena Chinese | — | 1373 |
| LMArena French | — | 1374 |
| LMArena Japanese | — | 1311 |
| LMArena Korean | — | 1306 |
| LMArena Spanish | — | 1357 |
Instruction Following Trinity Large Thinking leads
Gemma 3 12B: 68.6 (#186), Trinity Large Thinking: 70.5 (#162)
| Benchmark | Gemma 3 12B | Trinity Large Thinking |
|---|---|---|
| LMArena Instruction Following | 1299 | 1334 |
Long Context Trinity Large Thinking leads
Gemma 3 12B: 40.0 (#162), Trinity Large Thinking: 41.3 (#144)
| Benchmark | Gemma 3 12B | Trinity Large Thinking |
|---|---|---|
| LMArena Longer Query | 1317 | 1355 |
Writing & Preference Trinity Large Thinking leads
Gemma 3 12B: 47.5 (#209), Trinity Large Thinking: 53.8 (#158)
| Benchmark | Gemma 3 12B | Trinity Large Thinking |
|---|---|---|
| LMArena Text | 1334 | 1340 |
| LMArena Creative Writing | 1331 | 1320 |
| LMArena Multi-Turn | 1334 | 1342 |
| EQ-Bench Creative Writing | 1126 | — |
Frequently asked questions
Is Gemma 3 12B better than Trinity Large Thinking?
Trinity Large Thinking is the stronger model overall, scoring 38.6 to 32.1 on the Noometry Index. Gemma 3 12B costs 5.2× less per token, which makes it the better buy when Trinity Large Thinking's lead doesn't matter for your workload.
Which is cheaper, Gemma 3 12B or Trinity Large Thinking?
Gemma 3 12B is cheaper. It lists at $0.05 per million input tokens and $0.15 per million output tokens; Trinity Large Thinking lists at $0.25 and $0.80.
Is Gemma 3 12B or Trinity Large Thinking better for coding?
Trinity Large Thinking scores higher on coding benchmarks: 34.1 versus 31.7 in the Noometry coding category.
Which has the bigger context window?
Trinity Large Thinking does, with 262K tokens against 131K.
How many benchmarks do Gemma 3 12B and Trinity Large Thinking share?
15 benchmarks have published results for both models. Gemma 3 12B has 24 scored results on Noometry and Trinity Large Thinking has 24.