# Qwen3-Coder 480B-A35B Instruct vs Trinity Large Thinking

> Qwen3-Coder 480B-A35B Instruct and Trinity Large Thinking score almost the same on the Noometry Index (38.1 vs 38.6), so choose on price, context window or the category you care about most.

- Canonical page: https://noometry.com/compare/qwen3-coder-480b-a35b-instruct-vs-trinity-large-thinking
- Last updated: 2026-10-10
- Shared benchmarks: 18

## Summary

- They share 18 benchmarks with published results for both. Qwen3-Coder 480B-A35B Instruct scores higher in 6 categories and Trinity Large Thinking in 2 categories; 6 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where Qwen3-Coder 480B-A35B Instruct leads 25.5 to 16.9.
- Trinity Large Thinking is cheaper at $0.25 / $0.80 per million input/output tokens, against $1.50 / $7.50 for Qwen3-Coder 480B-A35B Instruct.

## Snapshot

| | Qwen3-Coder 480B-A35B Instruct | Trinity Large Thinking |
|---|---|---|
| Provider | Alibaba (Qwen) | Arcee AI |
| Noometry Index | 38.1 | 38.6 |
| Rank | 190 | 185 |
| Context | 262K | 262K |
| Input $/M | $1.50 | $0.25 |
| Output $/M | $7.50 | $0.80 |
| Weights | Open | Open |

## Coding

- Qwen3-Coder 480B-A35B Instruct: 35.5 (#223)
- Trinity Large Thinking: 34.1 (#244)

| Benchmark | Qwen3-Coder 480B-A35B Instruct | Trinity Large Thinking |
|---|---|---|
| LMArena WebDev | 1275 | 1238 |
| LMArena Coding | 1412 | 1381 |
| SWE-bench Verified (bash only) | 55.4% | — |
| SciCode | — | 36.1% |
| GSO | 4.9% | — |
| WeirdML | 41.2% | — |
| ALE-Bench | 461.45 | — |
| AlgoTune | 1.44 | — |

## Agentic & Tool Use

- Qwen3-Coder 480B-A35B Instruct: 23.9 (#123)
- Trinity Large Thinking: —

| Benchmark | Qwen3-Coder 480B-A35B Instruct | Trinity Large Thinking |
|---|---|---|
| Terminal-Bench | 27.2% | — |

## Reasoning

- Qwen3-Coder 480B-A35B Instruct: 25.5 (#149)
- Trinity Large Thinking: 16.9 (#298)

| Benchmark | Qwen3-Coder 480B-A35B Instruct | Trinity Large Thinking |
|---|---|---|
| LMArena Hard Prompts | 1372 | 1350 |
| Kagi LLM Benchmark | 49.5% | — |
| NYT Connections (extended) | — | 16.5% |
| CritPt | — | 0.9% |
| Thematic Generalization | — | 41.6% |
| Surface Evolver Bench | — | 15.6% |

## Math

- Qwen3-Coder 480B-A35B Instruct: 37.6 (#150)
- Trinity Large Thinking: 37.6 (#149)

| Benchmark | Qwen3-Coder 480B-A35B Instruct | Trinity Large Thinking |
|---|---|---|
| LMArena Math | 1365 | 1366 |

## Knowledge

- Qwen3-Coder 480B-A35B Instruct: 37.0 (#162)
- Trinity Large Thinking: 40.9 (#113)

| Benchmark | Qwen3-Coder 480B-A35B Instruct | Trinity Large Thinking |
|---|---|---|
| LMArena Expert | 1338 | 1360 |
| Vectara Hallucination Rate | — | 6.9% |

## Multilingual

- Qwen3-Coder 480B-A35B Instruct: 47.7 (#148)
- Trinity Large Thinking: 46.2 (#160)

| Benchmark | Qwen3-Coder 480B-A35B Instruct | Trinity Large Thinking |
|---|---|---|
| LMArena Non-English | 1346 | 1325 |
| LMArena Chinese | 1357 | 1373 |
| LMArena French | 1398 | 1374 |
| LMArena German | 1325 | 1356 |
| LMArena Japanese | 1310 | 1311 |
| LMArena Korean | 1305 | 1306 |
| LMArena Russian | 1366 | 1337 |
| LMArena Spanish | 1360 | 1357 |

## Instruction Following

- Qwen3-Coder 480B-A35B Instruct: 71.6 (#147)
- Trinity Large Thinking: 70.5 (#162)

| Benchmark | Qwen3-Coder 480B-A35B Instruct | Trinity Large Thinking |
|---|---|---|
| LMArena Instruction Following | 1355 | 1334 |

## Long Context

- Qwen3-Coder 480B-A35B Instruct: 42.0 (#131)
- Trinity Large Thinking: 41.3 (#144)

| Benchmark | Qwen3-Coder 480B-A35B Instruct | Trinity Large Thinking |
|---|---|---|
| LMArena Longer Query | 1378 | 1355 |

## Writing & Preference

- Qwen3-Coder 480B-A35B Instruct: 55.3 (#147)
- Trinity Large Thinking: 53.8 (#158)

| Benchmark | Qwen3-Coder 480B-A35B Instruct | Trinity Large Thinking |
|---|---|---|
| LMArena Text | 1357 | 1340 |
| LMArena Creative Writing | 1333 | 1320 |
| LMArena Multi-Turn | 1365 | 1342 |

## FAQ

### Is Qwen3-Coder 480B-A35B Instruct better than Trinity Large Thinking?

Qwen3-Coder 480B-A35B Instruct and Trinity Large Thinking score almost the same on the Noometry Index (38.1 vs 38.6), so choose on price, context window or the category you care about most.

### Which is cheaper, Qwen3-Coder 480B-A35B Instruct 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-Coder 480B-A35B Instruct lists at $1.50 and $7.50.

### Is Qwen3-Coder 480B-A35B Instruct or Trinity Large Thinking better for coding?

Qwen3-Coder 480B-A35B Instruct scores higher on coding benchmarks: 35.5 versus 34.1 in the Noometry coding category.

### Which has the bigger context window?

Both accept 262K tokens.

### How many benchmarks do Qwen3-Coder 480B-A35B Instruct and Trinity Large Thinking share?

18 benchmarks have published results for both models. Qwen3-Coder 480B-A35B Instruct has 25 scored results on Noometry and Trinity Large Thinking has 24.