Model comparison
Olmo 2 0325 32b Instruct vs Trinity Large Thinking
Trinity Large Thinking is the stronger model overall, scoring 38.6 to 32.7 on the Noometry Index.
Last verified . 11 shared benchmarks.
Summary
- They share 11 benchmarks with published results for both. Olmo 2 0325 32b Instruct scores higher in 2 categories and Trinity Large Thinking in 6 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where Trinity Large Thinking leads 40.9 to 19.5.
Side by side
| Olmo 2 0325 32b Instruct | Trinity Large Thinking | |
|---|---|---|
| Provider | Allen Institute for AI (Ai2) | Arcee AI |
| Noometry Index | 32.7 | 38.6 |
| 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 | 16 | 24 |
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Category by category
Coding Olmo 2 0325 32b Instruct leads
Olmo 2 0325 32b Instruct: 35.2 (#227), Trinity Large Thinking: 34.1 (#244)
| Benchmark | Olmo 2 0325 32b Instruct | Trinity Large Thinking |
|---|---|---|
| LMArena Coding | 1210 | 1381 |
| LMArena WebDev | — | 1238 |
| SciCode | — | 36.1% |
Reasoning Olmo 2 0325 32b Instruct leads
Olmo 2 0325 32b Instruct: 23.6 (#175), Trinity Large Thinking: 16.9 (#298)
| Benchmark | Olmo 2 0325 32b Instruct | Trinity Large Thinking |
|---|---|---|
| LMArena Hard Prompts | 1208 | 1350 |
| NYT Connections (extended) | — | 16.5% |
| CritPt | — | 0.9% |
| Thematic Generalization | — | 41.6% |
| Surface Evolver Bench | — | 15.6% |
Math Trinity Large Thinking leads
Olmo 2 0325 32b Instruct: 26.8 (#255), Trinity Large Thinking: 37.6 (#149)
| Benchmark | Olmo 2 0325 32b Instruct | Trinity Large Thinking |
|---|---|---|
| LMArena Math | 1208 | 1366 |
| Omni-MATH | 16.1% | — |
Knowledge Trinity Large Thinking leads
Olmo 2 0325 32b Instruct: 19.5 (#279), Trinity Large Thinking: 40.9 (#113)
| Benchmark | Olmo 2 0325 32b Instruct | Trinity Large Thinking |
|---|---|---|
| MMLU-Pro | 41.4% | — |
| Vectara Hallucination Rate | — | 6.9% |
| GPQA (HELM) | 28.7% | — |
| LMArena Expert | — | 1360 |
Multilingual Trinity Large Thinking leads
Olmo 2 0325 32b Instruct: 34.8 (#248), Trinity Large Thinking: 46.2 (#160)
| Benchmark | Olmo 2 0325 32b Instruct | Trinity Large Thinking |
|---|---|---|
| LMArena Non-English | 1160 | 1325 |
| LMArena Chinese | 1192 | 1373 |
| LMArena Russian | 1187 | 1337 |
| LMArena French | — | 1374 |
| LMArena German | — | 1356 |
| LMArena Japanese | — | 1311 |
| LMArena Korean | — | 1306 |
| LMArena Spanish | — | 1357 |
Instruction Following Trinity Large Thinking leads
Olmo 2 0325 32b Instruct: 61.5 (#244), Trinity Large Thinking: 70.5 (#162)
| Benchmark | Olmo 2 0325 32b Instruct | Trinity Large Thinking |
|---|---|---|
| LMArena Instruction Following | 1186 | 1334 |
| IFEval | 78% | — |
Long Context Trinity Large Thinking leads
Olmo 2 0325 32b Instruct: 36.2 (#234), Trinity Large Thinking: 41.3 (#144)
| Benchmark | Olmo 2 0325 32b Instruct | Trinity Large Thinking |
|---|---|---|
| LMArena Longer Query | 1194 | 1355 |
Writing & Preference Trinity Large Thinking leads
Olmo 2 0325 32b Instruct: 42.1 (#236), Trinity Large Thinking: 53.8 (#158)
| Benchmark | Olmo 2 0325 32b Instruct | Trinity Large Thinking |
|---|---|---|
| LMArena Text | 1218 | 1340 |
| LMArena Creative Writing | 1199 | 1320 |
| LMArena Multi-Turn | 1221 | 1342 |
| WildBench | 73.4% | — |
Frequently asked questions
Is Olmo 2 0325 32b Instruct better than Trinity Large Thinking?
Trinity Large Thinking is the stronger model overall, scoring 38.6 to 32.7 on the Noometry Index.
Is Olmo 2 0325 32b Instruct or Trinity Large Thinking better for coding?
Olmo 2 0325 32b Instruct scores higher on coding benchmarks: 35.2 versus 34.1 in the Noometry coding category.
How many benchmarks do Olmo 2 0325 32b Instruct and Trinity Large Thinking share?
11 benchmarks have published results for both models. Olmo 2 0325 32b Instruct has 16 scored results on Noometry and Trinity Large Thinking has 24.