Model comparison
DBRX vs Trinity Large Thinking
Trinity Large Thinking is the stronger model overall, scoring 38.1 to 29.0 on the Noometry Index.
Last verified . 17 shared benchmarks.
Databricks
Arcee AISummary
- They share 17 benchmarks with published results for both. DBRX scores higher in 1 category and Trinity Large Thinking in 7 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where Trinity Large Thinking leads 40.3 to 14.9.
Side by side
| DBRX | Trinity Large Thinking | |
|---|---|---|
| Provider | Databricks | Arcee AI |
| Noometry Index | 29.0 | 38.1 |
| Released | 2024-03-27 | 2026-04-01 |
| Weights | Open | Open |
| Context window | — | 262K |
| Max output | — | 80K |
| Input $ / M tokens | — | $0.25 |
| Output $ / M tokens | — | $0.80 |
| Results tracked | 21 | 24 |
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Category by category
Coding Trinity Large Thinking leads
DBRX: 32.3 (#262), Trinity Large Thinking: 33.8 (#238)
| Benchmark | DBRX | Trinity Large Thinking |
|---|---|---|
| LMArena Coding | 1132 | 1381 |
| LMArena WebDev | — | 1238 |
| SciCode | — | 36.1% |
| HumanEval+ | 70.1% | — |
| MBPP+ | 55.8% | — |
Reasoning DBRX leads
DBRX: 20.5 (#218), Trinity Large Thinking: 16.3 (#298)
| Benchmark | DBRX | Trinity Large Thinking |
|---|---|---|
| LMArena Hard Prompts | 1113 | 1350 |
| NYT Connections (extended) | — | 16.5% |
| CritPt | — | 0.9% |
| Thematic Generalization | — | 41.6% |
| Surface Evolver Bench | — | 15.6% |
Math Trinity Large Thinking leads
DBRX: 22.3 (#265), Trinity Large Thinking: 34.9 (#149)
| Benchmark | DBRX | Trinity Large Thinking |
|---|---|---|
| LMArena Math | 1145 | 1366 |
| MATH Level 5 | 11.7% | — |
Knowledge Trinity Large Thinking leads
DBRX: 14.9 (#289), Trinity Large Thinking: 40.3 (#107)
| Benchmark | DBRX | Trinity Large Thinking |
|---|---|---|
| LMArena Expert | 1076 | 1359 |
| GPQA Diamond | 32.9% | — |
| Vectara Hallucination Rate | — | 6.9% |
Multilingual Trinity Large Thinking leads
DBRX: 29.4 (#263), Trinity Large Thinking: 46.4 (#155)
| Benchmark | DBRX | Trinity Large Thinking |
|---|---|---|
| LMArena Non-English | 1071 | 1325 |
| LMArena Chinese | 1068 | 1372 |
| LMArena French | 1095 | 1374 |
| LMArena German | 1057 | 1356 |
| LMArena Japanese | 990 | 1312 |
| LMArena Korean | 993 | 1304 |
| LMArena Russian | 1078 | 1338 |
| LMArena Spanish | 1064 | 1356 |
Instruction Following Trinity Large Thinking leads
DBRX: 57.7 (#265), Trinity Large Thinking: 70.7 (#157)
| Benchmark | DBRX | Trinity Large Thinking |
|---|---|---|
| LMArena Instruction Following | 1112 | 1334 |
Long Context Trinity Large Thinking leads
DBRX: 33.7 (#253), Trinity Large Thinking: 41.2 (#139)
| Benchmark | DBRX | Trinity Large Thinking |
|---|---|---|
| LMArena Longer Query | 1112 | 1355 |
Writing & Preference Trinity Large Thinking leads
DBRX: 33.7 (#271), Trinity Large Thinking: 54.0 (#152)
| Benchmark | DBRX | Trinity Large Thinking |
|---|---|---|
| LMArena Text | 1119 | 1340 |
| LMArena Creative Writing | 1104 | 1321 |
| LMArena Multi-Turn | 1111 | 1342 |
Frequently asked questions
Is DBRX better than Trinity Large Thinking?
Trinity Large Thinking is the stronger model overall, scoring 38.1 to 29.0 on the Noometry Index.
Is DBRX or Trinity Large Thinking better for coding?
Trinity Large Thinking scores higher on coding benchmarks: 33.8 versus 32.3 in the Noometry coding category.
How many benchmarks do DBRX and Trinity Large Thinking share?
17 benchmarks have published results for both models. DBRX has 21 scored results on Noometry and Trinity Large Thinking has 24.