# Qwen3.5 397B-A17B vs Trinity Large Thinking

> Qwen3.5 397B-A17B is the stronger model overall, scoring 45.7 to 38.1 on the Noometry Index. Trinity Large Thinking costs 3.5× less per token, which makes it the better buy when Qwen3.5 397B-A17B's lead doesn't matter for your workload.

- Canonical page: https://noometry.com/compare/qwen3-5-397b-a17b-vs-trinity-large-thinking
- Last updated: 2026-10-10
- Shared benchmarks: 20

## Summary

- They share 20 benchmarks with published results for both. Qwen3.5 397B-A17B scores higher in 8 categories and Trinity Large Thinking in 0 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where Qwen3.5 397B-A17B leads 33.6 to 16.3.
- The biggest single-benchmark swing is NYT Connections (extended): 58.9% for Qwen3.5 397B-A17B and 16.5% for Trinity Large Thinking.
- Trinity Large Thinking is cheaper at $0.25 / $0.80 per million input/output tokens, against $0.60 / $3.60 for Qwen3.5 397B-A17B.

## Snapshot

| | Qwen3.5 397B-A17B | Trinity Large Thinking |
|---|---|---|
| Provider | Alibaba (Qwen) | Arcee AI |
| Noometry Index | 45.7 | 38.1 |
| Rank | 60 | 180 |
| Context | 262K | 262K |
| Input $/M | $0.60 | $0.25 |
| Output $/M | $3.60 | $0.80 |
| Weights | Open | Open |

## Coding

- Qwen3.5 397B-A17B: 41.7 (#108)
- Trinity Large Thinking: 33.8 (#238)

| Benchmark | Qwen3.5 397B-A17B | Trinity Large Thinking |
|---|---|---|
| LMArena WebDev | 1400 | 1238 |
| LMArena Coding | 1464 | 1381 |
| SciCode | — | 36.1% |

## Agentic & Tool Use

- Qwen3.5 397B-A17B: 33.2 (#51)
- Trinity Large Thinking: —

| Benchmark | Qwen3.5 397B-A17B | Trinity Large Thinking |
|---|---|---|
| APEX-Agents | 24.9% | — |
| τ²-bench Airline | 81.5% | — |
| τ²-bench Banking | 9.8% | — |
| τ²-bench Retail | 84.4% | — |
| τ²-bench Telecom | 97.8% | — |

## Reasoning

- Qwen3.5 397B-A17B: 33.6 (#62)
- Trinity Large Thinking: 16.3 (#298)

| Benchmark | Qwen3.5 397B-A17B | Trinity Large Thinking |
|---|---|---|
| NYT Connections (extended) | 58.9% | 16.5% |
| Thematic Generalization | 65.1% | 41.6% |
| LMArena Hard Prompts | 1448 | 1350 |
| Kagi LLM Benchmark | 73.7% | — |
| CritPt | — | 0.9% |
| Chess Puzzles | 13% | — |
| Mystery Game Puzzles | 18% | — |
| DTBench | 87.5% | — |
| LMCA | 37.9% | — |
| Surface Evolver Bench | — | 15.6% |
| Epoch Capabilities Index | 146.64 | — |

## Math

- Qwen3.5 397B-A17B: 44.9 (#64)
- Trinity Large Thinking: 34.9 (#149)

| Benchmark | Qwen3.5 397B-A17B | Trinity Large Thinking |
|---|---|---|
| LMArena Math | 1455 | 1366 |
| FrontierMath (Tiers 1-3) | 31.2% | — |
| OTIS Mock AIME 2024-2025 | 88.9% | — |

## Knowledge

- Qwen3.5 397B-A17B: 53.3 (#53)
- Trinity Large Thinking: 40.3 (#107)

| Benchmark | Qwen3.5 397B-A17B | Trinity Large Thinking |
|---|---|---|
| LMArena Expert | 1461 | 1359 |
| GPQA Diamond | 86.4% | — |
| Vectara Hallucination Rate | — | 6.9% |

## Multimodal

- Qwen3.5 397B-A17B: 40.0 (#42)
- Trinity Large Thinking: —

| Benchmark | Qwen3.5 397B-A17B | Trinity Large Thinking |
|---|---|---|
| LMArena Vision | 1262 | — |

## Multilingual

- Qwen3.5 397B-A17B: 54.0 (#56)
- Trinity Large Thinking: 46.4 (#155)

| Benchmark | Qwen3.5 397B-A17B | Trinity Large Thinking |
|---|---|---|
| LMArena Non-English | 1431 | 1325 |
| LMArena Chinese | 1501 | 1372 |
| LMArena French | 1461 | 1374 |
| LMArena German | 1447 | 1356 |
| LMArena Japanese | 1427 | 1312 |
| LMArena Korean | 1382 | 1304 |
| LMArena Russian | 1429 | 1338 |
| LMArena Spanish | 1443 | 1356 |

## Instruction Following

- Qwen3.5 397B-A17B: 75.2 (#73)
- Trinity Large Thinking: 70.7 (#157)

| Benchmark | Qwen3.5 397B-A17B | Trinity Large Thinking |
|---|---|---|
| LMArena Instruction Following | 1424 | 1334 |

## Long Context

- Qwen3.5 397B-A17B: 44.1 (#71)
- Trinity Large Thinking: 41.2 (#139)

| Benchmark | Qwen3.5 397B-A17B | Trinity Large Thinking |
|---|---|---|
| LMArena Longer Query | 1442 | 1355 |

## Writing & Preference

- Qwen3.5 397B-A17B: 62.5 (#74)
- Trinity Large Thinking: 54.0 (#152)

| Benchmark | Qwen3.5 397B-A17B | Trinity Large Thinking |
|---|---|---|
| LMArena Text | 1438 | 1340 |
| LMArena Creative Writing | 1401 | 1321 |
| LMArena Multi-Turn | 1447 | 1342 |
| EQ-Bench Creative Writing | 1478 | — |

## FAQ

### Is Qwen3.5 397B-A17B better than Trinity Large Thinking?

Qwen3.5 397B-A17B is the stronger model overall, scoring 45.7 to 38.1 on the Noometry Index. Trinity Large Thinking costs 3.5× less per token, which makes it the better buy when Qwen3.5 397B-A17B's lead doesn't matter for your workload.

### Which is cheaper, Qwen3.5 397B-A17B 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 397B-A17B lists at $0.60 and $3.60.

### Is Qwen3.5 397B-A17B or Trinity Large Thinking better for coding?

Qwen3.5 397B-A17B scores higher on coding benchmarks: 41.7 versus 33.8 in the Noometry coding category.

### Which has the bigger context window?

Both accept 262K tokens.

### How many benchmarks do Qwen3.5 397B-A17B and Trinity Large Thinking share?

20 benchmarks have published results for both models. Qwen3.5 397B-A17B has 36 scored results on Noometry and Trinity Large Thinking has 24.