Model comparison
GPT-5.2 Pro vs Trinity Large Thinking
GPT-5.2 Pro is the stronger model overall, scoring 52.2 to 38.1 on the Noometry Index. Trinity Large Thinking costs 149× less per token, which makes it the better buy when GPT-5.2 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. GPT-5.2 Pro scores higher in 2 categories and Trinity Large Thinking in 0 categories; 2 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where GPT-5.2 Pro leads 51.8 to 16.3.
- The biggest single-benchmark swing is NYT Connections (extended): 79.3% for GPT-5.2 Pro and 16.5% for Trinity Large Thinking.
- Trinity Large Thinking is cheaper at $0.25 / $0.80 per million input/output tokens, against $21 / $168 for GPT-5.2 Pro.
- GPT-5.2 Pro accepts more context: 400K tokens versus 262K.
- Trinity Large Thinking has downloadable open weights; the other is API-only.
Side by side
| GPT-5.2 Pro | Trinity Large Thinking | |
|---|---|---|
| Provider | OpenAI | Arcee AI |
| Noometry Index | 52.2 | 38.1 |
| Released | 2025-12-11 | 2026-04-01 |
| Weights | Proprietary | Open |
| Context window | 400K | 262K |
| Max output | 128K | 80K |
| Input $ / M tokens | $21 | $0.25 |
| Output $ / M tokens | $168 | $0.80 |
| Results tracked | 8 | 24 |
Sponsored placements are available on pages like this one. Advertise on Noometry
Category by category
Coding Not comparable
GPT-5.2 Pro: —, Trinity Large Thinking: 33.8 (#238)
| Benchmark | GPT-5.2 Pro | Trinity Large Thinking |
|---|---|---|
| LMArena WebDev | — | 1238 |
| SciCode | — | 36.1% |
| LMArena Coding | — | 1381 |
Reasoning GPT-5.2 Pro leads
GPT-5.2 Pro: 51.8 (#31), Trinity Large Thinking: 16.3 (#298)
| Benchmark | GPT-5.2 Pro | Trinity Large Thinking |
|---|---|---|
| NYT Connections (extended) | 79.3% | 16.5% |
| ARC-AGI-2 | 54.2% | — |
| SimpleBench | 57.4% | — |
| ARC-AGI-1 | 90.5% | — |
| CritPt | — | 0.9% |
| Thematic Generalization | — | 41.6% |
| LMArena Hard Prompts | — | 1350 |
| Surface Evolver Bench | — | 15.6% |
| Epoch Capabilities Index | 155.41 | — |
Math GPT-5.2 Pro leads
GPT-5.2 Pro: 64.8 (#23), Trinity Large Thinking: 34.9 (#149)
| Benchmark | GPT-5.2 Pro | Trinity Large Thinking |
|---|---|---|
| FrontierMath (Tiers 1-3) | 74% | — |
| FrontierMath Tier 4 | 46% | — |
| LMArena Math | — | 1366 |
| FrontierMath Tier 4 (v1) | 31.3% | — |
Knowledge Not comparable
GPT-5.2 Pro: —, Trinity Large Thinking: 40.3 (#107)
| Benchmark | GPT-5.2 Pro | Trinity Large Thinking |
|---|---|---|
| Vectara Hallucination Rate | — | 6.9% |
| LMArena Expert | — | 1359 |
Multilingual Not comparable
GPT-5.2 Pro: —, Trinity Large Thinking: 46.4 (#155)
| Benchmark | GPT-5.2 Pro | Trinity Large Thinking |
|---|---|---|
| LMArena Non-English | — | 1325 |
| LMArena Chinese | — | 1372 |
| LMArena French | — | 1374 |
| LMArena German | — | 1356 |
| LMArena Japanese | — | 1312 |
| LMArena Korean | — | 1304 |
| LMArena Russian | — | 1338 |
| LMArena Spanish | — | 1356 |
Instruction Following Not comparable
GPT-5.2 Pro: —, Trinity Large Thinking: 70.7 (#157)
| Benchmark | GPT-5.2 Pro | Trinity Large Thinking |
|---|---|---|
| LMArena Instruction Following | — | 1334 |
Long Context Not comparable
GPT-5.2 Pro: —, Trinity Large Thinking: 41.2 (#139)
| Benchmark | GPT-5.2 Pro | Trinity Large Thinking |
|---|---|---|
| LMArena Longer Query | — | 1355 |
Writing & Preference Not comparable
GPT-5.2 Pro: —, Trinity Large Thinking: 54.0 (#152)
| Benchmark | GPT-5.2 Pro | Trinity Large Thinking |
|---|---|---|
| LMArena Text | — | 1340 |
| LMArena Creative Writing | — | 1321 |
| LMArena Multi-Turn | — | 1342 |
Frequently asked questions
Is GPT-5.2 Pro better than Trinity Large Thinking?
GPT-5.2 Pro is the stronger model overall, scoring 52.2 to 38.1 on the Noometry Index. Trinity Large Thinking costs 149× less per token, which makes it the better buy when GPT-5.2 Pro's lead doesn't matter for your workload.
Which is cheaper, GPT-5.2 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; GPT-5.2 Pro lists at $21 and $168.
Which has the bigger context window?
GPT-5.2 Pro does, with 400K tokens against 262K.
How many benchmarks do GPT-5.2 Pro and Trinity Large Thinking share?
1 benchmark has published results for both models. GPT-5.2 Pro has 8 scored results on Noometry and Trinity Large Thinking has 24.