# GPT-4.5 vs Trinity Large Thinking

> Trinity Large Thinking is the stronger model overall, scoring 38.6 to 37.2 on the Noometry Index.

- Canonical page: https://noometry.com/compare/gpt-4-5-vs-trinity-large-thinking
- Last updated: 2026-10-11
- Shared benchmarks: 16

## Summary

- They share 16 benchmarks with published results for both. GPT-4.5 scores higher in 4 categories and Trinity Large Thinking in 4 categories; 7 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where Trinity Large Thinking leads 40.9 to 32.5.
- Trinity Large Thinking has downloadable open weights; the other is API-only.

## Snapshot

| | GPT-4.5 | Trinity Large Thinking |
|---|---|---|
| Provider | OpenAI | Arcee AI |
| Noometry Index | 37.2 | 38.6 |
| Rank | 208 | 185 |
| Context | — | 262K |
| Input $/M | — | $0.25 |
| Output $/M | — | $0.80 |
| Weights | Proprietary | Open |

## Coding

- GPT-4.5: 42.2 (#109)
- Trinity Large Thinking: 34.1 (#244)

| Benchmark | GPT-4.5 | Trinity Large Thinking |
|---|---|---|
| LMArena Coding | 1396 | 1381 |
| Aider Polyglot | 44.9% | — |
| LMArena WebDev | — | 1238 |
| SciCode | — | 36.1% |
| WeirdML | 39.4% | — |
| LiveBench Coding | 75.2% | — |

## Agentic & Tool Use

- GPT-4.5: 27.9 (#97)
- Trinity Large Thinking: —

| Benchmark | GPT-4.5 | Trinity Large Thinking |
|---|---|---|
| Cybench | 17.5% | — |

## Reasoning

- GPT-4.5: 13.9 (#330)
- Trinity Large Thinking: 16.9 (#298)

| Benchmark | GPT-4.5 | Trinity Large Thinking |
|---|---|---|
| LMArena Hard Prompts | 1403 | 1350 |
| ARC-AGI-2 | 0.8% | — |
| SimpleBench | 34.5% | — |
| NYT Connections (extended) | — | 16.5% |
| ARC-AGI-1 | 10.3% | — |
| CritPt | — | 0.9% |
| EnigmaEval | 3.2% | — |
| Thematic Generalization | — | 41.6% |
| LiveBench Reasoning | 71.1% | — |
| LiveBench Data Analysis | 64.3% | — |
| Surface Evolver Bench | — | 15.6% |
| Epoch Capabilities Index | 136.74 | — |
| ForecastBench | 61.7 | — |
| LiveBench | 69% | — |

## Math

- GPT-4.5: 32.6 (#211)
- Trinity Large Thinking: 37.6 (#149)

| Benchmark | GPT-4.5 | Trinity Large Thinking |
|---|---|---|
| LMArena Math | 1412 | 1366 |
| OTIS Mock AIME 2024-2025 | 37.8% | — |
| LiveBench Math | 69.3% | — |
| MATH Level 5 | 78.6% | — |

## Knowledge

- GPT-4.5: 32.5 (#211)
- Trinity Large Thinking: 40.9 (#113)

| Benchmark | GPT-4.5 | Trinity Large Thinking |
|---|---|---|
| LMArena Expert | 1394 | 1360 |
| GPQA Diamond | 68.7% | — |
| Humanity's Last Exam | 5.4% | — |
| Confabulations | 13.6% | — |
| Vectara Hallucination Rate | — | 6.9% |

## Multimodal

- GPT-4.5: 37.6 (#71)
- Trinity Large Thinking: —

| Benchmark | GPT-4.5 | Trinity Large Thinking |
|---|---|---|
| LMArena Vision | 1195 | — |
| VPCT | 45% | — |

## Multilingual

- GPT-4.5: 52.5 (#83)
- Trinity Large Thinking: 46.2 (#160)

| Benchmark | GPT-4.5 | Trinity Large Thinking |
|---|---|---|
| LMArena Non-English | 1413 | 1325 |
| LMArena Chinese | 1421 | 1373 |
| LMArena French | 1418 | 1374 |
| LMArena German | 1457 | 1356 |
| LMArena Japanese | 1416 | 1311 |
| LMArena Korean | 1392 | 1306 |
| LMArena Russian | 1419 | 1337 |
| LMArena Spanish | — | 1357 |

## Instruction Following

- GPT-4.5: 72.6 (#134)
- Trinity Large Thinking: 70.5 (#162)

| Benchmark | GPT-4.5 | Trinity Large Thinking |
|---|---|---|
| LMArena Instruction Following | 1404 | 1334 |
| LiveBench Instruction Following | 72.3% | — |

## Long Context

- GPT-4.5: 40.4 (#155)
- Trinity Large Thinking: 41.3 (#144)

| Benchmark | GPT-4.5 | Trinity Large Thinking |
|---|---|---|
| LMArena Longer Query | 1406 | 1355 |
| Fiction.LiveBench | 63.9% | — |

## Writing & Preference

- GPT-4.5: 56.9 (#134)
- Trinity Large Thinking: 53.8 (#158)

| Benchmark | GPT-4.5 | Trinity Large Thinking |
|---|---|---|
| LMArena Text | 1417 | 1340 |
| LMArena Creative Writing | 1394 | 1320 |
| LMArena Multi-Turn | 1444 | 1342 |
| Short-Story Creative Writing | 75.6% | — |
| EQ-Bench Creative Writing | 1258 | — |
| LiveBench Language | 61.5% | — |

## FAQ

### Is GPT-4.5 better than Trinity Large Thinking?

Trinity Large Thinking is the stronger model overall, scoring 38.6 to 37.2 on the Noometry Index.

### Is GPT-4.5 or Trinity Large Thinking better for coding?

GPT-4.5 scores higher on coding benchmarks: 42.2 versus 34.1 in the Noometry coding category.

### How many benchmarks do GPT-4.5 and Trinity Large Thinking share?

16 benchmarks have published results for both models. GPT-4.5 has 42 scored results on Noometry and Trinity Large Thinking has 24.
