Model comparison
o1-mini vs Trinity Large Thinking
Trinity Large Thinking is the stronger model overall, scoring 38.1 to 33.7 on the Noometry Index.
Last verified . 17 shared benchmarks.
Arcee AISummary
- They share 17 benchmarks with published results for both. o1-mini scores higher in 1 category and Trinity Large Thinking in 7 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where Trinity Large Thinking leads 16.3 to 8.9.
- Trinity Large Thinking has downloadable open weights; the other is API-only.
Side by side
| o1-mini | Trinity Large Thinking | |
|---|---|---|
| Provider | OpenAI | Arcee AI |
| Noometry Index | 33.7 | 38.1 |
| Released | 2024-09-12 | 2026-04-01 |
| Weights | Proprietary | Open |
| Context window | — | 262K |
| Max output | — | 80K |
| Input $ / M tokens | — | $0.25 |
| Output $ / M tokens | — | $0.80 |
| Results tracked | 39 | 24 |
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Category by category
Coding o1-mini leads
o1-mini: 35.1 (#218), Trinity Large Thinking: 33.8 (#238)
| Benchmark | o1-mini | Trinity Large Thinking |
|---|---|---|
| LMArena Coding | 1362 | 1381 |
| Aider Polyglot | 32.9% | — |
| LMArena WebDev | — | 1238 |
| SciCode | — | 36.1% |
| WeirdML | 36.3% | — |
| LiveBench Coding | 48% | — |
| HumanEval+ | 89% | — |
| MBPP+ | 78.8% | — |
Agentic & Tool Use Not comparable
o1-mini: 24.3 (#112), Trinity Large Thinking: —
| Benchmark | o1-mini | Trinity Large Thinking |
|---|---|---|
| Cybench | 10% | — |
Reasoning Trinity Large Thinking leads
o1-mini: 8.9 (#340), Trinity Large Thinking: 16.3 (#298)
| Benchmark | o1-mini | Trinity Large Thinking |
|---|---|---|
| LMArena Hard Prompts | 1333 | 1350 |
| ARC-AGI-2 | 0.8% | — |
| SimpleBench | 18.1% | — |
| NYT Connections (extended) | — | 16.5% |
| ARC-AGI-1 | 14% | — |
| CritPt | — | 0.9% |
| Thematic Generalization | — | 41.6% |
| LiveBench Reasoning | 72.3% | — |
| LiveBench Data Analysis | 57.9% | — |
| Surface Evolver Bench | — | 15.6% |
| Epoch Capabilities Index | 135.82 | — |
| LiveBench | 57.8% | — |
Math Trinity Large Thinking leads
o1-mini: 33.7 (#168), Trinity Large Thinking: 34.9 (#149)
| Benchmark | o1-mini | Trinity Large Thinking |
|---|---|---|
| LMArena Math | 1358 | 1366 |
| OTIS Mock AIME 2024-2025 | 46.9% | — |
| LiveBench Math | 62% | — |
| MATH Level 5 | 89.2% | — |
| FrontierMath (Feb 2025 set) | 1.7% | — |
Knowledge Trinity Large Thinking leads
o1-mini: 34.8 (#180), Trinity Large Thinking: 40.3 (#107)
| Benchmark | o1-mini | Trinity Large Thinking |
|---|---|---|
| LMArena Expert | 1316 | 1359 |
| GPQA Diamond | 62.4% | — |
| Confabulations | 18.6% | — |
| Vectara Hallucination Rate | — | 6.9% |
Multilingual Trinity Large Thinking leads
o1-mini: 43.8 (#177), Trinity Large Thinking: 46.4 (#155)
| Benchmark | o1-mini | Trinity Large Thinking |
|---|---|---|
| LMArena Non-English | 1289 | 1325 |
| LMArena Chinese | 1314 | 1372 |
| LMArena French | 1292 | 1374 |
| LMArena German | 1278 | 1356 |
| LMArena Japanese | 1245 | 1312 |
| LMArena Korean | 1223 | 1304 |
| LMArena Russian | 1283 | 1338 |
| LMArena Spanish | 1302 | 1356 |
Instruction Following Trinity Large Thinking leads
o1-mini: 67.0 (#200), Trinity Large Thinking: 70.7 (#157)
| Benchmark | o1-mini | Trinity Large Thinking |
|---|---|---|
| LMArena Instruction Following | 1304 | 1334 |
| LiveBench Instruction Following | 65.4% | — |
Long Context Trinity Large Thinking leads
o1-mini: 40.1 (#156), Trinity Large Thinking: 41.2 (#139)
| Benchmark | o1-mini | Trinity Large Thinking |
|---|---|---|
| LMArena Longer Query | 1321 | 1355 |
Writing & Preference Trinity Large Thinking leads
o1-mini: 48.6 (#196), Trinity Large Thinking: 54.0 (#152)
| Benchmark | o1-mini | Trinity Large Thinking |
|---|---|---|
| LMArena Text | 1317 | 1340 |
| LMArena Creative Writing | 1244 | 1321 |
| LMArena Multi-Turn | 1314 | 1342 |
| Short-Story Creative Writing | 64.9% | — |
| LiveBench Language | 40.9% | — |
Frequently asked questions
Is o1-mini better than Trinity Large Thinking?
Trinity Large Thinking is the stronger model overall, scoring 38.1 to 33.7 on the Noometry Index.
Is o1-mini or Trinity Large Thinking better for coding?
o1-mini scores higher on coding benchmarks: 35.1 versus 33.8 in the Noometry coding category.
How many benchmarks do o1-mini and Trinity Large Thinking share?
17 benchmarks have published results for both models. o1-mini has 39 scored results on Noometry and Trinity Large Thinking has 24.