# Qwen3-VL 235B-A22B vs Trinity Large Thinking

> Qwen3-VL 235B-A22B is the stronger model overall, scoring 42.5 to 38.1 on the Noometry Index. Trinity Large Thinking costs 3.2× less per token, which makes it the better buy when Qwen3-VL 235B-A22B's lead doesn't matter for your workload.

- Canonical page: https://noometry.com/compare/qwen3-vl-235b-a22b-vs-trinity-large-thinking
- Last updated: 2026-10-10
- Shared benchmarks: 17

## Summary

- They share 17 benchmarks with published results for both. Qwen3-VL 235B-A22B scores higher in 7 categories and Trinity Large Thinking in 1 category; 7 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where Qwen3-VL 235B-A22B leads 28.1 to 16.3.
- Trinity Large Thinking is cheaper at $0.25 / $0.80 per million input/output tokens, against $0.70 / $2.80 for Qwen3-VL 235B-A22B.
- Trinity Large Thinking accepts more context: 262K tokens versus 131K.

## Snapshot

| | Qwen3-VL 235B-A22B | Trinity Large Thinking |
|---|---|---|
| Provider | Alibaba (Qwen) | Arcee AI |
| Noometry Index | 42.5 | 38.1 |
| Rank | 98 | 180 |
| Context | 131K | 262K |
| Input $/M | $0.70 | $0.25 |
| Output $/M | $2.80 | $0.80 |
| Weights | Open | Open |

## Coding

- Qwen3-VL 235B-A22B: 41.8 (#103)
- Trinity Large Thinking: 33.8 (#238)

| Benchmark | Qwen3-VL 235B-A22B | Trinity Large Thinking |
|---|---|---|
| LMArena Coding | 1438 | 1381 |
| LMArena WebDev | — | 1238 |
| SciCode | — | 36.1% |

## Reasoning

- Qwen3-VL 235B-A22B: 28.1 (#92)
- Trinity Large Thinking: 16.3 (#298)

| Benchmark | Qwen3-VL 235B-A22B | Trinity Large Thinking |
|---|---|---|
| LMArena Hard Prompts | 1428 | 1350 |
| NYT Connections (extended) | — | 16.5% |
| CritPt | — | 0.9% |
| Thematic Generalization | — | 41.6% |
| Surface Evolver Bench | — | 15.6% |

## Math

- Qwen3-VL 235B-A22B: 36.2 (#120)
- Trinity Large Thinking: 34.9 (#149)

| Benchmark | Qwen3-VL 235B-A22B | Trinity Large Thinking |
|---|---|---|
| LMArena Math | 1426 | 1366 |

## Knowledge

- Qwen3-VL 235B-A22B: 39.6 (#120)
- Trinity Large Thinking: 40.3 (#107)

| Benchmark | Qwen3-VL 235B-A22B | Trinity Large Thinking |
|---|---|---|
| LMArena Expert | 1440 | 1359 |
| Vectara Hallucination Rate | — | 6.9% |

## Multimodal

- Qwen3-VL 235B-A22B: 39.1 (#50)
- Trinity Large Thinking: —

| Benchmark | Qwen3-VL 235B-A22B | Trinity Large Thinking |
|---|---|---|
| LMArena Vision | 1247 | — |

## Multilingual

- Qwen3-VL 235B-A22B: 52.1 (#92)
- Trinity Large Thinking: 46.4 (#155)

| Benchmark | Qwen3-VL 235B-A22B | Trinity Large Thinking |
|---|---|---|
| LMArena Non-English | 1405 | 1325 |
| LMArena Chinese | 1462 | 1372 |
| LMArena French | 1448 | 1374 |
| LMArena German | 1424 | 1356 |
| LMArena Japanese | 1385 | 1312 |
| LMArena Korean | 1395 | 1304 |
| LMArena Russian | 1409 | 1338 |
| LMArena Spanish | 1427 | 1356 |

## Instruction Following

- Qwen3-VL 235B-A22B: 74.4 (#95)
- Trinity Large Thinking: 70.7 (#157)

| Benchmark | Qwen3-VL 235B-A22B | Trinity Large Thinking |
|---|---|---|
| LMArena Instruction Following | 1407 | 1334 |

## Long Context

- Qwen3-VL 235B-A22B: 43.4 (#93)
- Trinity Large Thinking: 41.2 (#139)

| Benchmark | Qwen3-VL 235B-A22B | Trinity Large Thinking |
|---|---|---|
| LMArena Longer Query | 1420 | 1355 |

## Writing & Preference

- Qwen3-VL 235B-A22B: 60.4 (#94)
- Trinity Large Thinking: 54.0 (#152)

| Benchmark | Qwen3-VL 235B-A22B | Trinity Large Thinking |
|---|---|---|
| LMArena Text | 1420 | 1340 |
| LMArena Creative Writing | 1367 | 1321 |
| LMArena Multi-Turn | 1428 | 1342 |

## FAQ

### Is Qwen3-VL 235B-A22B better than Trinity Large Thinking?

Qwen3-VL 235B-A22B is the stronger model overall, scoring 42.5 to 38.1 on the Noometry Index. Trinity Large Thinking costs 3.2× less per token, which makes it the better buy when Qwen3-VL 235B-A22B's lead doesn't matter for your workload.

### Which is cheaper, Qwen3-VL 235B-A22B 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; Qwen3-VL 235B-A22B lists at $0.70 and $2.80.

### Is Qwen3-VL 235B-A22B or Trinity Large Thinking better for coding?

Qwen3-VL 235B-A22B scores higher on coding benchmarks: 41.8 versus 33.8 in the Noometry coding category.

### Which has the bigger context window?

Trinity Large Thinking does, with 262K tokens against 131K.

### How many benchmarks do Qwen3-VL 235B-A22B and Trinity Large Thinking share?

17 benchmarks have published results for both models. Qwen3-VL 235B-A22B has 18 scored results on Noometry and Trinity Large Thinking has 24.