# Qwen3.5 122B-A10B vs Trinity Large Thinking

> Qwen3.5 122B-A10B is the stronger model overall, scoring 41.6 to 38.1 on the Noometry Index. Trinity Large Thinking costs 2.8× less per token, which makes it the better buy when Qwen3.5 122B-A10B's lead doesn't matter for your workload.

- Canonical page: https://noometry.com/compare/qwen3-5-122b-a10b-vs-trinity-large-thinking
- Last updated: 2026-10-10
- Shared benchmarks: 23

## Summary

- They share 23 benchmarks with published results for both. Qwen3.5 122B-A10B scores higher in 7 categories and Trinity Large Thinking in 1 category; 8 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where Qwen3.5 122B-A10B leads 26.4 to 16.3.
- The biggest single-benchmark swing is NYT Connections (extended): 51.7% for Qwen3.5 122B-A10B and 16.5% for Trinity Large Thinking.
- Trinity Large Thinking is cheaper at $0.25 / $0.80 per million input/output tokens, against $0.40 / $3.20 for Qwen3.5 122B-A10B.

## Snapshot

| | Qwen3.5 122B-A10B | Trinity Large Thinking |
|---|---|---|
| Provider | Alibaba (Qwen) | Arcee AI |
| Noometry Index | 41.6 | 38.1 |
| Rank | 120 | 180 |
| Context | 262K | 262K |
| Input $/M | $0.40 | $0.25 |
| Output $/M | $3.20 | $0.80 |
| Weights | Open | Open |

## Coding

- Qwen3.5 122B-A10B: 38.8 (#155)
- Trinity Large Thinking: 33.8 (#238)

| Benchmark | Qwen3.5 122B-A10B | Trinity Large Thinking |
|---|---|---|
| LMArena WebDev | 1360 | 1238 |
| SciCode | 35.6% | 36.1% |
| LMArena Coding | 1436 | 1381 |

## Reasoning

- Qwen3.5 122B-A10B: 26.4 (#121)
- Trinity Large Thinking: 16.3 (#298)

| Benchmark | Qwen3.5 122B-A10B | Trinity Large Thinking |
|---|---|---|
| NYT Connections (extended) | 51.7% | 16.5% |
| CritPt | 0.9% | 0.9% |
| Thematic Generalization | 51.2% | 41.6% |
| LMArena Hard Prompts | 1421 | 1350 |
| Mystery Game Puzzles | 17% | — |
| DTBench | 84.3% | — |
| LMCA | 32.2% | — |
| Surface Evolver Bench | — | 15.6% |

## Math

- Qwen3.5 122B-A10B: 36.4 (#114)
- Trinity Large Thinking: 34.9 (#149)

| Benchmark | Qwen3.5 122B-A10B | Trinity Large Thinking |
|---|---|---|
| LMArena Math | 1432 | 1366 |

## Knowledge

- Qwen3.5 122B-A10B: 38.2 (#138)
- Trinity Large Thinking: 40.3 (#107)

| Benchmark | Qwen3.5 122B-A10B | Trinity Large Thinking |
|---|---|---|
| Vectara Hallucination Rate | 11.2% | 6.9% |
| LMArena Expert | 1431 | 1359 |

## Multimodal

- Qwen3.5 122B-A10B: 39.0 (#52)
- Trinity Large Thinking: —

| Benchmark | Qwen3.5 122B-A10B | Trinity Large Thinking |
|---|---|---|
| LMArena Vision | 1245 | — |

## Multilingual

- Qwen3.5 122B-A10B: 51.8 (#101)
- Trinity Large Thinking: 46.4 (#155)

| Benchmark | Qwen3.5 122B-A10B | Trinity Large Thinking |
|---|---|---|
| LMArena Non-English | 1400 | 1325 |
| LMArena Chinese | 1462 | 1372 |
| LMArena French | 1442 | 1374 |
| LMArena German | 1425 | 1356 |
| LMArena Japanese | 1364 | 1312 |
| LMArena Korean | 1353 | 1304 |
| LMArena Russian | 1400 | 1338 |
| LMArena Spanish | 1423 | 1356 |

## Instruction Following

- Qwen3.5 122B-A10B: 74.0 (#109)
- Trinity Large Thinking: 70.7 (#157)

| Benchmark | Qwen3.5 122B-A10B | Trinity Large Thinking |
|---|---|---|
| LMArena Instruction Following | 1399 | 1334 |

## Long Context

- Qwen3.5 122B-A10B: 43.0 (#105)
- Trinity Large Thinking: 41.2 (#139)

| Benchmark | Qwen3.5 122B-A10B | Trinity Large Thinking |
|---|---|---|
| LMArena Longer Query | 1410 | 1355 |

## Writing & Preference

- Qwen3.5 122B-A10B: 60.2 (#98)
- Trinity Large Thinking: 54.0 (#152)

| Benchmark | Qwen3.5 122B-A10B | Trinity Large Thinking |
|---|---|---|
| LMArena Text | 1417 | 1340 |
| LMArena Creative Writing | 1369 | 1321 |
| LMArena Multi-Turn | 1416 | 1342 |

## FAQ

### Is Qwen3.5 122B-A10B better than Trinity Large Thinking?

Qwen3.5 122B-A10B is the stronger model overall, scoring 41.6 to 38.1 on the Noometry Index. Trinity Large Thinking costs 2.8× less per token, which makes it the better buy when Qwen3.5 122B-A10B's lead doesn't matter for your workload.

### Which is cheaper, Qwen3.5 122B-A10B 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; Qwen3.5 122B-A10B lists at $0.40 and $3.20.

### Is Qwen3.5 122B-A10B or Trinity Large Thinking better for coding?

Qwen3.5 122B-A10B scores higher on coding benchmarks: 38.8 versus 33.8 in the Noometry coding category.

### Which has the bigger context window?

Both accept 262K tokens.

### How many benchmarks do Qwen3.5 122B-A10B and Trinity Large Thinking share?

23 benchmarks have published results for both models. Qwen3.5 122B-A10B has 27 scored results on Noometry and Trinity Large Thinking has 24.