Model comparison
Phi 3 Mini 128k Instruct vs Trinity Large Thinking
Trinity Large Thinking is the stronger model overall, scoring 38.1 to 29.1 on the Noometry Index.
Last verified . 17 shared benchmarks.
Microsoft
Arcee AISummary
- They share 17 benchmarks with published results for both. Phi 3 Mini 128k Instruct scores higher in 1 category and Trinity Large Thinking in 7 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where Trinity Large Thinking leads 54.0 to 27.3.
Side by side
| Phi 3 Mini 128k Instruct | Trinity Large Thinking | |
|---|---|---|
| Provider | Microsoft | Arcee AI |
| Noometry Index | 29.1 | 38.1 |
| Released | 2024-04-23 | 2026-04-01 |
| Weights | Open | Open |
| Context window | — | 262K |
| Max output | — | 80K |
| Input $ / M tokens | — | $0.25 |
| Output $ / M tokens | — | $0.80 |
| Results tracked | 19 | 24 |
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Category by category
Coding Trinity Large Thinking leads
Phi 3 Mini 128k Instruct: 28.3 (#307), Trinity Large Thinking: 33.8 (#238)
| Benchmark | Phi 3 Mini 128k Instruct | Trinity Large Thinking |
|---|---|---|
| LMArena Coding | 1040 | 1381 |
| LMArena WebDev | — | 1238 |
| SciCode | — | 36.1% |
| BigCodeBench Instruct | 29.6% | — |
| BigCodeBench Complete | 40.6% | — |
Reasoning Phi 3 Mini 128k Instruct leads
Phi 3 Mini 128k Instruct: 18.7 (#254), Trinity Large Thinking: 16.3 (#298)
| Benchmark | Phi 3 Mini 128k Instruct | Trinity Large Thinking |
|---|---|---|
| LMArena Hard Prompts | 1028 | 1350 |
| NYT Connections (extended) | — | 16.5% |
| CritPt | — | 0.9% |
| Thematic Generalization | — | 41.6% |
| Surface Evolver Bench | — | 15.6% |
Math Trinity Large Thinking leads
Phi 3 Mini 128k Instruct: 29.2 (#220), Trinity Large Thinking: 34.9 (#149)
| Benchmark | Phi 3 Mini 128k Instruct | Trinity Large Thinking |
|---|---|---|
| LMArena Math | 1089 | 1366 |
Knowledge Trinity Large Thinking leads
Phi 3 Mini 128k Instruct: 26.3 (#251), Trinity Large Thinking: 40.3 (#107)
| Benchmark | Phi 3 Mini 128k Instruct | Trinity Large Thinking |
|---|---|---|
| LMArena Expert | 984 | 1359 |
| Vectara Hallucination Rate | — | 6.9% |
Multilingual Trinity Large Thinking leads
Phi 3 Mini 128k Instruct: 25.4 (#280), Trinity Large Thinking: 46.4 (#155)
| Benchmark | Phi 3 Mini 128k Instruct | Trinity Large Thinking |
|---|---|---|
| LMArena Non-English | 1000 | 1325 |
| LMArena Chinese | 1016 | 1372 |
| LMArena French | 1038 | 1374 |
| LMArena German | 1006 | 1356 |
| LMArena Japanese | 899 | 1312 |
| LMArena Korean | 856 | 1304 |
| LMArena Russian | 1004 | 1338 |
| LMArena Spanish | 1058 | 1356 |
Instruction Following Trinity Large Thinking leads
Phi 3 Mini 128k Instruct: 52.1 (#289), Trinity Large Thinking: 70.7 (#157)
| Benchmark | Phi 3 Mini 128k Instruct | Trinity Large Thinking |
|---|---|---|
| LMArena Instruction Following | 1023 | 1334 |
Long Context Trinity Large Thinking leads
Phi 3 Mini 128k Instruct: 30.3 (#284), Trinity Large Thinking: 41.2 (#139)
| Benchmark | Phi 3 Mini 128k Instruct | Trinity Large Thinking |
|---|---|---|
| LMArena Longer Query | 996 | 1355 |
Writing & Preference Trinity Large Thinking leads
Phi 3 Mini 128k Instruct: 27.3 (#296), Trinity Large Thinking: 54.0 (#152)
| Benchmark | Phi 3 Mini 128k Instruct | Trinity Large Thinking |
|---|---|---|
| LMArena Text | 1050 | 1340 |
| LMArena Creative Writing | 1024 | 1321 |
| LMArena Multi-Turn | 989 | 1342 |
Frequently asked questions
Is Phi 3 Mini 128k Instruct better than Trinity Large Thinking?
Trinity Large Thinking is the stronger model overall, scoring 38.1 to 29.1 on the Noometry Index.
Is Phi 3 Mini 128k Instruct or Trinity Large Thinking better for coding?
Trinity Large Thinking scores higher on coding benchmarks: 33.8 versus 28.3 in the Noometry coding category.
How many benchmarks do Phi 3 Mini 128k Instruct and Trinity Large Thinking share?
17 benchmarks have published results for both models. Phi 3 Mini 128k Instruct has 19 scored results on Noometry and Trinity Large Thinking has 24.