# GPT-4 Turbo vs Trinity Large Thinking

> Trinity Large Thinking is the stronger model overall, scoring 38.1 to 30.3 on the Noometry Index.

- Canonical page: https://noometry.com/compare/gpt-4-turbo-vs-trinity-large-thinking
- Last updated: 2026-10-10
- Shared benchmarks: 17

## Summary

- They share 17 benchmarks with published results for both. GPT-4 Turbo scores higher in 0 categories and Trinity Large Thinking in 8 categories; 7 gaps are clear of the uncertainty.
- The widest gap is in math, where Trinity Large Thinking leads 34.9 to 8.6.
- Trinity Large Thinking is cheaper at $0.25 / $0.80 per million input/output tokens, against $10 / $30 for GPT-4 Turbo.
- Trinity Large Thinking accepts more context: 262K tokens versus 128K.
- Trinity Large Thinking has downloadable open weights; the other is API-only.

## Snapshot

| | GPT-4 Turbo | Trinity Large Thinking |
|---|---|---|
| Provider | OpenAI | Arcee AI |
| Noometry Index | 30.3 | 38.1 |
| Rank | 281 | 180 |
| Context | 128K | 262K |
| Input $/M | $10 | $0.25 |
| Output $/M | $30 | $0.80 |
| Weights | Proprietary | Open |

## Coding

- GPT-4 Turbo: 33.4 (#247)
- Trinity Large Thinking: 33.8 (#238)

| Benchmark | GPT-4 Turbo | Trinity Large Thinking |
|---|---|---|
| LMArena Coding | 1268 | 1381 |
| LMArena WebDev | — | 1238 |
| SciCode | — | 36.1% |
| WeirdML | 18% | — |
| BigCodeBench Instruct | 48.2% | — |
| BigCodeBench Complete | 58.2% | — |
| HumanEval+ | 86.6% | — |
| MBPP+ | 73.3% | — |

## Agentic & Tool Use

- GPT-4 Turbo: —
- Trinity Large Thinking: —

| Benchmark | GPT-4 Turbo | Trinity Large Thinking |
|---|---|---|
| METR Time Horizons | 36.7% | — |

## Reasoning

- GPT-4 Turbo: 14.9 (#311)
- Trinity Large Thinking: 16.3 (#298)

| Benchmark | GPT-4 Turbo | Trinity Large Thinking |
|---|---|---|
| LMArena Hard Prompts | 1251 | 1350 |
| SimpleBench | 25.1% | — |
| NYT Connections (extended) | — | 16.5% |
| CritPt | — | 0.9% |
| Chess Puzzles | 6% | — |
| Thematic Generalization | — | 41.6% |
| DTBench | 61.6% | — |
| LMCA | 9.8% | — |
| Surface Evolver Bench | — | 15.6% |
| Epoch Capabilities Index | 127.25 | — |
| ForecastBench | 59.4 | — |

## Math

- GPT-4 Turbo: 8.6 (#316)
- Trinity Large Thinking: 34.9 (#149)

| Benchmark | GPT-4 Turbo | Trinity Large Thinking |
|---|---|---|
| LMArena Math | 1272 | 1366 |
| FrontierMath (Tiers 1-3) | 0.7% | — |
| OTIS Mock AIME 2024-2025 | 6.7% | — |
| MATH Level 5 | 46.7% | — |

## Knowledge

- GPT-4 Turbo: 24.3 (#263)
- Trinity Large Thinking: 40.3 (#107)

| Benchmark | GPT-4 Turbo | Trinity Large Thinking |
|---|---|---|
| LMArena Expert | 1223 | 1359 |
| GPQA Diamond | 46.6% | — |
| Confabulations | 28.4% | — |
| Vectara Hallucination Rate | — | 6.9% |
| MMLU | 81.3% | — |

## Multimodal

- GPT-4 Turbo: 30.0 (#104)
- Trinity Large Thinking: —

| Benchmark | GPT-4 Turbo | Trinity Large Thinking |
|---|---|---|
| LMArena Vision | 1090 | — |

## Multilingual

- GPT-4 Turbo: 40.7 (#211)
- Trinity Large Thinking: 46.4 (#155)

| Benchmark | GPT-4 Turbo | Trinity Large Thinking |
|---|---|---|
| LMArena Non-English | 1245 | 1325 |
| LMArena Chinese | 1242 | 1372 |
| LMArena French | 1275 | 1374 |
| LMArena German | 1259 | 1356 |
| LMArena Japanese | 1194 | 1312 |
| LMArena Korean | 1187 | 1304 |
| LMArena Russian | 1259 | 1338 |
| LMArena Spanish | 1260 | 1356 |

## Instruction Following

- GPT-4 Turbo: 66.0 (#211)
- Trinity Large Thinking: 70.7 (#157)

| Benchmark | GPT-4 Turbo | Trinity Large Thinking |
|---|---|---|
| LMArena Instruction Following | 1250 | 1334 |

## Long Context

- GPT-4 Turbo: 38.0 (#200)
- Trinity Large Thinking: 41.2 (#139)

| Benchmark | GPT-4 Turbo | Trinity Large Thinking |
|---|---|---|
| LMArena Longer Query | 1254 | 1355 |

## Writing & Preference

- GPT-4 Turbo: 47.9 (#201)
- Trinity Large Thinking: 54.0 (#152)

| Benchmark | GPT-4 Turbo | Trinity Large Thinking |
|---|---|---|
| LMArena Text | 1272 | 1340 |
| LMArena Creative Writing | 1269 | 1321 |
| LMArena Multi-Turn | 1267 | 1342 |

## FAQ

### Is GPT-4 Turbo better than Trinity Large Thinking?

Trinity Large Thinking is the stronger model overall, scoring 38.1 to 30.3 on the Noometry Index.

### Which is cheaper, GPT-4 Turbo 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-4 Turbo lists at $10 and $30.

### Is GPT-4 Turbo or Trinity Large Thinking better for coding?

They score almost the same on coding (33.4 vs 33.8); test both on your own repository before choosing.

### Which has the bigger context window?

Trinity Large Thinking does, with 262K tokens against 128K.

### How many benchmarks do GPT-4 Turbo and Trinity Large Thinking share?

17 benchmarks have published results for both models. GPT-4 Turbo has 36 scored results on Noometry and Trinity Large Thinking has 24.