# Qwen3.7 Flash vs Trinity Large Thinking

> Qwen3.7 Flash is the stronger model overall, scoring 39.5 to 38.1 on the Noometry Index.

- Canonical page: https://noometry.com/compare/qwen3-7-flash-vs-trinity-large-thinking
- Last updated: 2026-10-10
- Shared benchmarks: 1

## Summary

- They share 1 benchmark with published results for both. Qwen3.7 Flash scores higher in 3 categories and Trinity Large Thinking in 0 categories; 3 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where Qwen3.7 Flash leads 27.3 to 16.3.
- The biggest single-benchmark swing is NYT Connections (extended): 43.8% for Qwen3.7 Flash and 16.5% for Trinity Large Thinking.
- Qwen3.7 Flash is cheaper at $0.03 / $0.13 per million input/output tokens, against $0.25 / $0.80 for Trinity Large Thinking.
- Qwen3.7 Flash accepts more context: 1M tokens versus 262K.
- Trinity Large Thinking has downloadable open weights; the other is API-only.

## Snapshot

| | Qwen3.7 Flash | Trinity Large Thinking |
|---|---|---|
| Provider | Alibaba (Qwen) | Arcee AI |
| Noometry Index | 39.5 | 38.1 |
| Rank | 152 | 180 |
| Context | 1M | 262K |
| Input $/M | $0.03 | $0.25 |
| Output $/M | $0.13 | $0.80 |
| Weights | Proprietary | Open |

## Coding

- Qwen3.7 Flash: —
- Trinity Large Thinking: 33.8 (#238)

| Benchmark | Qwen3.7 Flash | Trinity Large Thinking |
|---|---|---|
| LMArena WebDev | — | 1238 |
| SciCode | — | 36.1% |
| LMArena Coding | — | 1381 |

## Reasoning

- Qwen3.7 Flash: 27.3 (#108)
- Trinity Large Thinking: 16.3 (#298)

| Benchmark | Qwen3.7 Flash | Trinity Large Thinking |
|---|---|---|
| NYT Connections (extended) | 43.8% | 16.5% |
| CritPt | — | 0.9% |
| Chess Puzzles | 23% | — |
| Thematic Generalization | — | 41.6% |
| LMArena Hard Prompts | — | 1350 |
| Mystery Game Puzzles | 15% | — |
| Surface Evolver Bench | — | 15.6% |
| Epoch Capabilities Index | 144.62 | — |

## Math

- Qwen3.7 Flash: 37.3 (#100)
- Trinity Large Thinking: 34.9 (#149)

| Benchmark | Qwen3.7 Flash | Trinity Large Thinking |
|---|---|---|
| FrontierMath (Tiers 1-3) | 19.3% | — |
| OTIS Mock AIME 2024-2025 | 86.7% | — |
| LMArena Math | — | 1366 |

## Knowledge

- Qwen3.7 Flash: 48.9 (#69)
- Trinity Large Thinking: 40.3 (#107)

| Benchmark | Qwen3.7 Flash | Trinity Large Thinking |
|---|---|---|
| GPQA Diamond | 82.3% | — |
| Vectara Hallucination Rate | — | 6.9% |
| LMArena Expert | — | 1359 |

## Multilingual

- Qwen3.7 Flash: —
- Trinity Large Thinking: 46.4 (#155)

| Benchmark | Qwen3.7 Flash | 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

- Qwen3.7 Flash: —
- Trinity Large Thinking: 70.7 (#157)

| Benchmark | Qwen3.7 Flash | Trinity Large Thinking |
|---|---|---|
| LMArena Instruction Following | — | 1334 |

## Long Context

- Qwen3.7 Flash: —
- Trinity Large Thinking: 41.2 (#139)

| Benchmark | Qwen3.7 Flash | Trinity Large Thinking |
|---|---|---|
| LMArena Longer Query | — | 1355 |

## Writing & Preference

- Qwen3.7 Flash: —
- Trinity Large Thinking: 54.0 (#152)

| Benchmark | Qwen3.7 Flash | Trinity Large Thinking |
|---|---|---|
| LMArena Text | — | 1340 |
| LMArena Creative Writing | — | 1321 |
| LMArena Multi-Turn | — | 1342 |

## FAQ

### Is Qwen3.7 Flash better than Trinity Large Thinking?

Qwen3.7 Flash is the stronger model overall, scoring 39.5 to 38.1 on the Noometry Index.

### Which is cheaper, Qwen3.7 Flash or Trinity Large Thinking?

Qwen3.7 Flash is cheaper. It lists at $0.03 per million input tokens and $0.13 per million output tokens; Trinity Large Thinking lists at $0.25 and $0.80.

### Which has the bigger context window?

Qwen3.7 Flash does, with 1M tokens against 262K.

### How many benchmarks do Qwen3.7 Flash and Trinity Large Thinking share?

1 benchmark has published results for both models. Qwen3.7 Flash has 7 scored results on Noometry and Trinity Large Thinking has 24.