Model comparison
Trinity Large Thinking vs Wizardlm 70b
Trinity Large Thinking is the stronger model overall, scoring 38.6 to 33.0 on the Noometry Index.
Last verified . 12 shared benchmarks.
Arcee AI
MicrosoftSummary
- They share 12 benchmarks with published results for both. Trinity Large Thinking scores higher in 6 categories and Wizardlm 70b in 1 category; 7 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where Trinity Large Thinking leads 53.8 to 34.8.
Side by side
| Trinity Large Thinking | Wizardlm 70b | |
|---|---|---|
| Provider | Arcee AI | Microsoft |
| Noometry Index | 38.6 | 33.0 |
| 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 | 24 | 12 |
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Category by category
Coding Trinity Large Thinking leads
Trinity Large Thinking: 34.1 (#244), Wizardlm 70b: 31.4 (#285)
| Benchmark | Trinity Large Thinking | Wizardlm 70b |
|---|---|---|
| LMArena Coding | 1381 | 1081 |
| LMArena WebDev | 1238 | — |
| SciCode | 36.1% | — |
Reasoning Wizardlm 70b leads
Trinity Large Thinking: 16.9 (#298), Wizardlm 70b: 20.7 (#234)
| Benchmark | Trinity Large Thinking | Wizardlm 70b |
|---|---|---|
| LMArena Hard Prompts | 1350 | 1079 |
| NYT Connections (extended) | 16.5% | — |
| CritPt | 0.9% | — |
| Thematic Generalization | 41.6% | — |
| Surface Evolver Bench | 15.6% | — |
Math Trinity Large Thinking leads
Trinity Large Thinking: 37.6 (#149), Wizardlm 70b: 32.2 (#218)
| Benchmark | Trinity Large Thinking | Wizardlm 70b |
|---|---|---|
| LMArena Math | 1366 | 1116 |
Knowledge Not comparable
Trinity Large Thinking: 40.9 (#113), Wizardlm 70b: —
| Benchmark | Trinity Large Thinking | Wizardlm 70b |
|---|---|---|
| Vectara Hallucination Rate | 6.9% | — |
| LMArena Expert | 1360 | — |
Multilingual Trinity Large Thinking leads
Trinity Large Thinking: 46.2 (#160), Wizardlm 70b: 29.6 (#265)
| Benchmark | Trinity Large Thinking | Wizardlm 70b |
|---|---|---|
| LMArena Non-English | 1325 | 1078 |
| LMArena Chinese | 1373 | 1052 |
| LMArena German | 1356 | 1083 |
| LMArena Russian | 1337 | 1155 |
| LMArena French | 1374 | — |
| LMArena Japanese | 1311 | — |
| LMArena Korean | 1306 | — |
| LMArena Spanish | 1357 | — |
Instruction Following Trinity Large Thinking leads
Trinity Large Thinking: 70.5 (#162), Wizardlm 70b: 56.3 (#273)
| Benchmark | Trinity Large Thinking | Wizardlm 70b |
|---|---|---|
| LMArena Instruction Following | 1334 | 1093 |
Long Context Trinity Large Thinking leads
Trinity Large Thinking: 41.3 (#144), Wizardlm 70b: 33.3 (#263)
| Benchmark | Trinity Large Thinking | Wizardlm 70b |
|---|---|---|
| LMArena Longer Query | 1355 | 1097 |
Writing & Preference Trinity Large Thinking leads
Trinity Large Thinking: 53.8 (#158), Wizardlm 70b: 34.8 (#269)
| Benchmark | Trinity Large Thinking | Wizardlm 70b |
|---|---|---|
| LMArena Text | 1340 | 1120 |
| LMArena Creative Writing | 1320 | 1149 |
| LMArena Multi-Turn | 1342 | 1108 |
Frequently asked questions
Is Trinity Large Thinking better than Wizardlm 70b?
Trinity Large Thinking is the stronger model overall, scoring 38.6 to 33.0 on the Noometry Index.
Is Trinity Large Thinking or Wizardlm 70b better for coding?
Trinity Large Thinking scores higher on coding benchmarks: 34.1 versus 31.4 in the Noometry coding category.
How many benchmarks do Trinity Large Thinking and Wizardlm 70b share?
12 benchmarks have published results for both models. Trinity Large Thinking has 24 scored results on Noometry and Wizardlm 70b has 12.