Model comparison
o3-pro vs Trinity Large Thinking
o3-pro is the stronger model overall, scoring 42.9 to 38.6 on the Noometry Index. Trinity Large Thinking costs 90× less per token, which makes it the better buy when o3-pro's lead doesn't matter for your workload.
Last verified . 1 shared benchmarks.
Arcee AISummary
- They share 1 benchmark with published results for both. o3-pro scores higher in 4 categories and Trinity Large Thinking in 1 category; 5 gaps are clear of the uncertainty.
- The widest gap is in long context, where o3-pro leads 72.2 to 41.3.
- The biggest single-benchmark swing is Vectara Hallucination Rate: 23.3% for o3-pro and 6.9% for Trinity Large Thinking.
- Trinity Large Thinking is cheaper at $0.25 / $0.80 per million input/output tokens, against $20 / $80 for o3-pro.
- Trinity Large Thinking accepts more context: 262K tokens versus 200K.
- Trinity Large Thinking has downloadable open weights; the other is API-only.
Side by side
| o3-pro | Trinity Large Thinking | |
|---|---|---|
| Provider | OpenAI | Arcee AI |
| Noometry Index | 42.9 | 38.6 |
| Released | 2025-06-10 | 2026-04-01 |
| Weights | Proprietary | Open |
| Context window | 200K | 262K |
| Max output | 100K | 80K |
| Input $ / M tokens | $20 | $0.25 |
| Output $ / M tokens | $80 | $0.80 |
| Results tracked | 12 | 24 |
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Category by category
Coding o3-pro leads
o3-pro: 55.5 (#24), Trinity Large Thinking: 34.1 (#244)
| Benchmark | o3-pro | Trinity Large Thinking |
|---|---|---|
| Aider Polyglot | 84.9% | — |
| LMArena WebDev | — | 1238 |
| SciCode | — | 36.1% |
| WeirdML | 58.2% | — |
| LMArena Coding | — | 1381 |
Reasoning o3-pro leads
o3-pro: 23.8 (#171), Trinity Large Thinking: 16.9 (#298)
| Benchmark | o3-pro | Trinity Large Thinking |
|---|---|---|
| ARC-AGI-2 | 4.9% | — |
| Kagi LLM Benchmark | 72.1% | — |
| NYT Connections (extended) | — | 16.5% |
| ARC-AGI-1 | 59.3% | — |
| CritPt | — | 0.9% |
| Thematic Generalization | — | 41.6% |
| LMArena Hard Prompts | — | 1350 |
| DTBench | 86.9% | — |
| LMCA | 38.5% | — |
| Surface Evolver Bench | — | 15.6% |
| Epoch Capabilities Index | 147.42 | — |
Math Not comparable
o3-pro: —, Trinity Large Thinking: 37.6 (#149)
| Benchmark | o3-pro | Trinity Large Thinking |
|---|---|---|
| LMArena Math | — | 1366 |
Knowledge Trinity Large Thinking leads
o3-pro: 29.5 (#238), Trinity Large Thinking: 40.9 (#113)
| Benchmark | o3-pro | Trinity Large Thinking |
|---|---|---|
| Vectara Hallucination Rate | 23.3% | 6.9% |
| Confabulations | 14.2% | — |
| LMArena Expert | — | 1360 |
Multilingual Not comparable
o3-pro: —, Trinity Large Thinking: 46.2 (#160)
| Benchmark | o3-pro | Trinity Large Thinking |
|---|---|---|
| LMArena Non-English | — | 1325 |
| LMArena Chinese | — | 1373 |
| LMArena French | — | 1374 |
| LMArena German | — | 1356 |
| LMArena Japanese | — | 1311 |
| LMArena Korean | — | 1306 |
| LMArena Russian | — | 1337 |
| LMArena Spanish | — | 1357 |
Instruction Following Not comparable
o3-pro: —, Trinity Large Thinking: 70.5 (#162)
| Benchmark | o3-pro | Trinity Large Thinking |
|---|---|---|
| LMArena Instruction Following | — | 1334 |
Long Context o3-pro leads
o3-pro: 72.2 (#1), Trinity Large Thinking: 41.3 (#144)
| Benchmark | o3-pro | Trinity Large Thinking |
|---|---|---|
| Fiction.LiveBench | 97.2% | — |
| LMArena Longer Query | — | 1355 |
Writing & Preference o3-pro leads
o3-pro: 57.1 (#133), Trinity Large Thinking: 53.8 (#158)
| Benchmark | o3-pro | Trinity Large Thinking |
|---|---|---|
| LMArena Text | — | 1340 |
| LMArena Creative Writing | — | 1320 |
| Short-Story Creative Writing | 84.4% | — |
| LMArena Multi-Turn | — | 1342 |
Frequently asked questions
Is o3-pro better than Trinity Large Thinking?
o3-pro is the stronger model overall, scoring 42.9 to 38.6 on the Noometry Index. Trinity Large Thinking costs 90× less per token, which makes it the better buy when o3-pro's lead doesn't matter for your workload.
Which is cheaper, o3-pro or Trinity Large Thinking?
Trinity Large Thinking is cheaper. It lists at $0.25 per million input tokens and $0.80 per million output tokens; o3-pro lists at $20 and $80.
Is o3-pro or Trinity Large Thinking better for coding?
o3-pro scores higher on coding benchmarks: 55.5 versus 34.1 in the Noometry coding category.
Which has the bigger context window?
Trinity Large Thinking does, with 262K tokens against 200K.
How many benchmarks do o3-pro and Trinity Large Thinking share?
1 benchmark has published results for both models. o3-pro has 12 scored results on Noometry and Trinity Large Thinking has 24.