# GPT-5.5 Instant vs Trinity Large Thinking

> GPT-5.5 Instant is the stronger model overall, scoring 42.7 to 38.6 on the Noometry Index.

- Canonical page: https://noometry.com/compare/gpt-5-5-instant-vs-trinity-large-thinking
- Last updated: 2026-10-10
- Shared benchmarks: 19

## Summary

- They share 19 benchmarks with published results for both. GPT-5.5 Instant scores higher in 7 categories and Trinity Large Thinking in 1 category; 8 gaps are clear of the uncertainty.
- The widest gap is in math, where Trinity Large Thinking leads 37.6 to 26.5.
- The biggest single-benchmark swing is SciCode: 48.6% for GPT-5.5 Instant and 36.1% for Trinity Large Thinking.
- Trinity Large Thinking has downloadable open weights; the other is API-only.

## Snapshot

| | GPT-5.5 Instant | Trinity Large Thinking |
|---|---|---|
| Provider | OpenAI | Arcee AI |
| Noometry Index | 42.7 | 38.6 |
| Rank | 110 | 185 |
| Context | — | 262K |
| Input $/M | — | $0.25 |
| Output $/M | — | $0.80 |
| Weights | Proprietary | Open |

## Coding

- GPT-5.5 Instant: 44.3 (#74)
- Trinity Large Thinking: 34.1 (#244)

| Benchmark | GPT-5.5 Instant | Trinity Large Thinking |
|---|---|---|
| SciCode | 48.6% | 36.1% |
| LMArena Coding | 1433 | 1381 |
| LMArena WebDev | — | 1238 |

## Reasoning

- GPT-5.5 Instant: 24.9 (#155)
- Trinity Large Thinking: 16.9 (#298)

| Benchmark | GPT-5.5 Instant | Trinity Large Thinking |
|---|---|---|
| CritPt | 0% | 0.9% |
| LMArena Hard Prompts | 1426 | 1350 |
| NYT Connections (extended) | — | 16.5% |
| Chess Puzzles | 12% | — |
| Thematic Generalization | — | 41.6% |
| Surface Evolver Bench | — | 15.6% |
| Epoch Capabilities Index | 142.52 | — |

## Math

- GPT-5.5 Instant: 26.5 (#259)
- Trinity Large Thinking: 37.6 (#149)

| Benchmark | GPT-5.5 Instant | Trinity Large Thinking |
|---|---|---|
| LMArena Math | 1420 | 1366 |
| FrontierMath (Tiers 1-3) | 26.3% | — |
| FrontierMath Tier 4 | 2.4% | — |
| OTIS Mock AIME 2024-2025 | 68.1% | — |

## Knowledge

- GPT-5.5 Instant: 48.9 (#74)
- Trinity Large Thinking: 40.9 (#113)

| Benchmark | GPT-5.5 Instant | Trinity Large Thinking |
|---|---|---|
| LMArena Expert | 1409 | 1360 |
| GPQA Diamond | 82.5% | — |
| Vectara Hallucination Rate | — | 6.9% |

## Multimodal

- GPT-5.5 Instant: 40.0 (#52)
- Trinity Large Thinking: —

| Benchmark | GPT-5.5 Instant | Trinity Large Thinking |
|---|---|---|
| LMArena Vision | 1250 | — |
| LMArena Document | 1403 | — |

## Multilingual

- GPT-5.5 Instant: 52.8 (#80)
- Trinity Large Thinking: 46.2 (#160)

| Benchmark | GPT-5.5 Instant | Trinity Large Thinking |
|---|---|---|
| LMArena Non-English | 1417 | 1325 |
| LMArena Chinese | 1456 | 1373 |
| LMArena French | 1428 | 1374 |
| LMArena German | 1411 | 1356 |
| LMArena Japanese | 1408 | 1311 |
| LMArena Korean | 1392 | 1306 |
| LMArena Russian | 1431 | 1337 |
| LMArena Spanish | 1429 | 1357 |

## Instruction Following

- GPT-5.5 Instant: 74.2 (#100)
- Trinity Large Thinking: 70.5 (#162)

| Benchmark | GPT-5.5 Instant | Trinity Large Thinking |
|---|---|---|
| LMArena Instruction Following | 1406 | 1334 |

## Long Context

- GPT-5.5 Instant: 43.4 (#96)
- Trinity Large Thinking: 41.3 (#144)

| Benchmark | GPT-5.5 Instant | Trinity Large Thinking |
|---|---|---|
| LMArena Longer Query | 1422 | 1355 |

## Writing & Preference

- GPT-5.5 Instant: 61.8 (#85)
- Trinity Large Thinking: 53.8 (#158)

| Benchmark | GPT-5.5 Instant | Trinity Large Thinking |
|---|---|---|
| LMArena Text | 1419 | 1340 |
| LMArena Creative Writing | 1419 | 1320 |
| LMArena Multi-Turn | 1433 | 1342 |

## FAQ

### Is GPT-5.5 Instant better than Trinity Large Thinking?

GPT-5.5 Instant is the stronger model overall, scoring 42.7 to 38.6 on the Noometry Index.

### Is GPT-5.5 Instant or Trinity Large Thinking better for coding?

GPT-5.5 Instant scores higher on coding benchmarks: 44.3 versus 34.1 in the Noometry coding category.

### How many benchmarks do GPT-5.5 Instant and Trinity Large Thinking share?

19 benchmarks have published results for both models. GPT-5.5 Instant has 27 scored results on Noometry and Trinity Large Thinking has 24.