Model comparison
Phi-4 Mini vs Trinity Large Thinking
Trinity Large Thinking is the stronger model overall, scoring 38.1 to 30.4 on the Noometry Index. Phi-4 Mini costs 3.0× less per token, which makes it the better buy when Trinity Large Thinking's lead doesn't matter for your workload.
Last verified . 3 shared benchmarks.
Microsoft
Arcee AISummary
- They share 3 benchmarks with published results for both. Phi-4 Mini scores higher in 1 category and Trinity Large Thinking in 2 categories; 3 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where Trinity Large Thinking leads 40.3 to 24.8.
- The biggest single-benchmark swing is SciCode: 10.8% for Phi-4 Mini and 36.1% for Trinity Large Thinking.
- Phi-4 Mini is cheaper at $0.075 / $0.30 per million input/output tokens, against $0.25 / $0.80 for Trinity Large Thinking.
- Trinity Large Thinking accepts more context: 262K tokens versus 128K.
Side by side
| Phi-4 Mini | Trinity Large Thinking | |
|---|---|---|
| Provider | Microsoft | Arcee AI |
| Noometry Index | 30.4 | 38.1 |
| Released | 2024-12-11 | 2026-04-01 |
| Weights | Open | Open |
| Context window | 128K | 262K |
| Max output | 4K | 80K |
| Input $ / M tokens | $0.075 | $0.25 |
| Output $ / M tokens | $0.30 | $0.80 |
| Results tracked | 3 | 24 |
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Category by category
Coding Trinity Large Thinking leads
Phi-4 Mini: 27.6 (#312), Trinity Large Thinking: 33.8 (#238)
| Benchmark | Phi-4 Mini | Trinity Large Thinking |
|---|---|---|
| SciCode | 10.8% | 36.1% |
| LMArena WebDev | — | 1238 |
| LMArena Coding | — | 1381 |
Reasoning Phi-4 Mini leads
Phi-4 Mini: 21.7 (#190), Trinity Large Thinking: 16.3 (#298)
| Benchmark | Phi-4 Mini | Trinity Large Thinking |
|---|---|---|
| CritPt | 0% | 0.9% |
| NYT Connections (extended) | — | 16.5% |
| Thematic Generalization | — | 41.6% |
| LMArena Hard Prompts | — | 1350 |
| Surface Evolver Bench | — | 15.6% |
Math Not comparable
Phi-4 Mini: —, Trinity Large Thinking: 34.9 (#149)
| Benchmark | Phi-4 Mini | Trinity Large Thinking |
|---|---|---|
| LMArena Math | — | 1366 |
Knowledge Trinity Large Thinking leads
Phi-4 Mini: 24.8 (#261), Trinity Large Thinking: 40.3 (#107)
| Benchmark | Phi-4 Mini | Trinity Large Thinking |
|---|---|---|
| Vectara Hallucination Rate | 23.5% | 6.9% |
| LMArena Expert | — | 1359 |
Multilingual Not comparable
Phi-4 Mini: —, Trinity Large Thinking: 46.4 (#155)
| Benchmark | Phi-4 Mini | Trinity Large Thinking |
|---|---|---|
| LMArena Non-English | — | 1325 |
| LMArena Chinese | — | 1372 |
| LMArena French | — | 1374 |
| LMArena German | — | 1356 |
| LMArena Japanese | — | 1312 |
| LMArena Korean | — | 1304 |
| LMArena Russian | — | 1338 |
| LMArena Spanish | — | 1356 |
Instruction Following Not comparable
Phi-4 Mini: —, Trinity Large Thinking: 70.7 (#157)
| Benchmark | Phi-4 Mini | Trinity Large Thinking |
|---|---|---|
| LMArena Instruction Following | — | 1334 |
Long Context Not comparable
Phi-4 Mini: —, Trinity Large Thinking: 41.2 (#139)
| Benchmark | Phi-4 Mini | Trinity Large Thinking |
|---|---|---|
| LMArena Longer Query | — | 1355 |
Writing & Preference Not comparable
Phi-4 Mini: —, Trinity Large Thinking: 54.0 (#152)
| Benchmark | Phi-4 Mini | Trinity Large Thinking |
|---|---|---|
| LMArena Text | — | 1340 |
| LMArena Creative Writing | — | 1321 |
| LMArena Multi-Turn | — | 1342 |
Frequently asked questions
Is Phi-4 Mini better than Trinity Large Thinking?
Trinity Large Thinking is the stronger model overall, scoring 38.1 to 30.4 on the Noometry Index. Phi-4 Mini costs 3.0× less per token, which makes it the better buy when Trinity Large Thinking's lead doesn't matter for your workload.
Which is cheaper, Phi-4 Mini or Trinity Large Thinking?
Phi-4 Mini is cheaper. It lists at $0.075 per million input tokens and $0.30 per million output tokens; Trinity Large Thinking lists at $0.25 and $0.80.
Is Phi-4 Mini or Trinity Large Thinking better for coding?
Trinity Large Thinking scores higher on coding benchmarks: 33.8 versus 27.6 in the Noometry coding category.
Which has the bigger context window?
Trinity Large Thinking does, with 262K tokens against 128K.
How many benchmarks do Phi-4 Mini and Trinity Large Thinking share?
3 benchmarks have published results for both models. Phi-4 Mini has 3 scored results on Noometry and Trinity Large Thinking has 24.