# Qwen3-30B-A3B vs Trinity Large Thinking

> Qwen3-30B-A3B and Trinity Large Thinking score almost the same on the Noometry Index (38.9 vs 38.6), so choose on price, context window or the category you care about most.

- Canonical page: https://noometry.com/compare/qwen3-30b-a3b-vs-trinity-large-thinking
- Last updated: 2026-10-11
- Shared benchmarks: 19

## Summary

- They share 19 benchmarks with published results for both. Qwen3-30B-A3B scores higher in 6 categories and Trinity Large Thinking in 2 categories; 6 gaps are clear of the uncertainty.
- The widest gap is in long context, where Trinity Large Thinking leads 41.3 to 31.0.
- Qwen3-30B-A3B is cheaper at $0.12 / $0.50 per million input/output tokens, against $0.25 / $0.80 for Trinity Large Thinking.
- Trinity Large Thinking accepts more context: 262K tokens versus 41K.

## Snapshot

| | Qwen3-30B-A3B | Trinity Large Thinking |
|---|---|---|
| Provider | Alibaba (Qwen) | Arcee AI |
| Noometry Index | 38.9 | 38.6 |
| Rank | 179 | 185 |
| Context | 41K | 262K |
| Input $/M | $0.12 | $0.25 |
| Output $/M | $0.50 | $0.80 |
| Weights | Open | Open |

## Coding

- Qwen3-30B-A3B: 37.5 (#194)
- Trinity Large Thinking: 34.1 (#244)

| Benchmark | Qwen3-30B-A3B | Trinity Large Thinking |
|---|---|---|
| SciCode | 33.3% | 36.1% |
| LMArena Coding | 1416 | 1381 |
| LMArena WebDev | — | 1238 |
| WeirdML | 29.8% | — |

## Agentic & Tool Use

- Qwen3-30B-A3B: 29.8 (#82)
- Trinity Large Thinking: —

| Benchmark | Qwen3-30B-A3B | Trinity Large Thinking |
|---|---|---|
| Berkeley Function Calling Leaderboard | 41.4% | — |

## Reasoning

- Qwen3-30B-A3B: 22.2 (#204)
- Trinity Large Thinking: 16.9 (#298)

| Benchmark | Qwen3-30B-A3B | Trinity Large Thinking |
|---|---|---|
| CritPt | 0.3% | 0.9% |
| LMArena Hard Prompts | 1398 | 1350 |
| Kagi LLM Benchmark | 54.9% | — |
| NYT Connections (extended) | — | 16.5% |
| Chess Puzzles | 8% | — |
| Thematic Generalization | — | 41.6% |
| DTBench | 69.3% | — |
| LMCA | 22.4% | — |
| Surface Evolver Bench | — | 15.6% |
| Epoch Capabilities Index | 139.63 | — |

## Math

- Qwen3-30B-A3B: 37.4 (#157)
- Trinity Large Thinking: 37.6 (#149)

| Benchmark | Qwen3-30B-A3B | Trinity Large Thinking |
|---|---|---|
| LMArena Math | 1394 | 1366 |
| MathArena Final-Answer Competitions | 47.8% | — |
| OTIS Mock AIME 2024-2025 | 70.3% | — |

## Knowledge

- Qwen3-30B-A3B: 41.8 (#105)
- Trinity Large Thinking: 40.9 (#113)

| Benchmark | Qwen3-30B-A3B | Trinity Large Thinking |
|---|---|---|
| LMArena Expert | 1396 | 1360 |
| GPQA Diamond | 70.1% | — |
| Confabulations | 12.3% | — |
| Vectara Hallucination Rate | — | 6.9% |

## Multilingual

- Qwen3-30B-A3B: 49.5 (#132)
- Trinity Large Thinking: 46.2 (#160)

| Benchmark | Qwen3-30B-A3B | Trinity Large Thinking |
|---|---|---|
| LMArena Non-English | 1372 | 1325 |
| LMArena Chinese | 1433 | 1373 |
| LMArena French | 1418 | 1374 |
| LMArena German | 1380 | 1356 |
| LMArena Japanese | 1337 | 1311 |
| LMArena Korean | 1331 | 1306 |
| LMArena Russian | 1370 | 1337 |
| LMArena Spanish | 1404 | 1357 |

## Instruction Following

- Qwen3-30B-A3B: 72.0 (#142)
- Trinity Large Thinking: 70.5 (#162)

| Benchmark | Qwen3-30B-A3B | Trinity Large Thinking |
|---|---|---|
| LMArena Instruction Following | 1363 | 1334 |

## Long Context

- Qwen3-30B-A3B: 31.0 (#283)
- Trinity Large Thinking: 41.3 (#144)

| Benchmark | Qwen3-30B-A3B | Trinity Large Thinking |
|---|---|---|
| LMArena Longer Query | 1379 | 1355 |
| Fiction.LiveBench | 40.6% | — |

## Writing & Preference

- Qwen3-30B-A3B: 55.6 (#143)
- Trinity Large Thinking: 53.8 (#158)

| Benchmark | Qwen3-30B-A3B | Trinity Large Thinking |
|---|---|---|
| LMArena Text | 1384 | 1340 |
| LMArena Creative Writing | 1317 | 1320 |
| LMArena Multi-Turn | 1378 | 1342 |
| Short-Story Creative Writing | 75.3% | — |

## FAQ

### Is Qwen3-30B-A3B better than Trinity Large Thinking?

Qwen3-30B-A3B and Trinity Large Thinking score almost the same on the Noometry Index (38.9 vs 38.6), so choose on price, context window or the category you care about most.

### Which is cheaper, Qwen3-30B-A3B or Trinity Large Thinking?

Qwen3-30B-A3B is cheaper. It lists at $0.12 per million input tokens and $0.50 per million output tokens; Trinity Large Thinking lists at $0.25 and $0.80.

### Is Qwen3-30B-A3B or Trinity Large Thinking better for coding?

Qwen3-30B-A3B scores higher on coding benchmarks: 37.5 versus 34.1 in the Noometry coding category.

### Which has the bigger context window?

Trinity Large Thinking does, with 262K tokens against 41K.

### How many benchmarks do Qwen3-30B-A3B and Trinity Large Thinking share?

19 benchmarks have published results for both models. Qwen3-30B-A3B has 32 scored results on Noometry and Trinity Large Thinking has 24.