Model comparison
QwQ-32B vs Trinity Large Thinking
QwQ-32B is the stronger model overall, scoring 39.8 to 38.6 on the Noometry Index.
Last verified . 17 shared benchmarks.
Summary
- They share 17 benchmarks with published results for both. QwQ-32B scores higher in 5 categories and Trinity Large Thinking in 3 categories; 7 gaps are clear of the uncertainty.
- The widest gap is in long context, where QwQ-32B leads 49.0 to 41.3.
Side by side
| QwQ-32B | Trinity Large Thinking | |
|---|---|---|
| Provider | Alibaba (Qwen) | Arcee AI |
| Noometry Index | 39.8 | 38.6 |
| Released | 2024-11-28 | 2026-04-01 |
| Weights | Open | Open |
| Context window | — | 262K |
| Max output | — | 80K |
| Input $ / M tokens | — | $0.25 |
| Output $ / M tokens | — | $0.80 |
| Results tracked | 36 | 24 |
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Category by category
Coding QwQ-32B leads
QwQ-32B: 35.4 (#226), Trinity Large Thinking: 34.1 (#244)
| Benchmark | QwQ-32B | Trinity Large Thinking |
|---|---|---|
| LMArena Coding | 1333 | 1381 |
| Aider Polyglot | 20.9% | — |
| LMArena WebDev | — | 1238 |
| SciCode | — | 36.1% |
| BigCodeBench Instruct | 44.6% | — |
| LiveBench Coding | 72.2% | — |
| BigCodeBench Complete | 54.4% | — |
Reasoning QwQ-32B leads
QwQ-32B: 23.7 (#174), Trinity Large Thinking: 16.9 (#298)
| Benchmark | QwQ-32B | Trinity Large Thinking |
|---|---|---|
| LMArena Hard Prompts | 1325 | 1350 |
| NYT Connections (extended) | — | 16.5% |
| CritPt | — | 0.9% |
| Chess Puzzles | 5% | — |
| Thematic Generalization | — | 41.6% |
| LiveBench Reasoning | 83.5% | — |
| LiveBench Data Analysis | 65% | — |
| Surface Evolver Bench | — | 15.6% |
| Epoch Capabilities Index | 137.6 | — |
| ForecastBench | 58.3 | — |
| LiveBench | 72% | — |
Math Too close to call
QwQ-32B: 38.0 (#143), Trinity Large Thinking: 37.6 (#149)
| Benchmark | QwQ-32B | Trinity Large Thinking |
|---|---|---|
| LMArena Math | 1359 | 1366 |
| OTIS Mock AIME 2024-2025 | 59.2% | — |
| LiveBench Math | 77.8% | — |
Knowledge Trinity Large Thinking leads
QwQ-32B: 37.2 (#158), Trinity Large Thinking: 40.9 (#113)
| Benchmark | QwQ-32B | Trinity Large Thinking |
|---|---|---|
| LMArena Expert | 1324 | 1360 |
| GPQA Diamond | 65.3% | — |
| Confabulations | 15.6% | — |
| Vectara Hallucination Rate | — | 6.9% |
Multilingual Trinity Large Thinking leads
QwQ-32B: 44.8 (#176), Trinity Large Thinking: 46.2 (#160)
| Benchmark | QwQ-32B | Trinity Large Thinking |
|---|---|---|
| LMArena Non-English | 1305 | 1325 |
| LMArena Chinese | 1378 | 1373 |
| LMArena French | 1336 | 1374 |
| LMArena German | 1313 | 1356 |
| LMArena Japanese | 1262 | 1311 |
| LMArena Korean | 1279 | 1306 |
| LMArena Russian | 1297 | 1337 |
| LMArena Spanish | 1354 | 1357 |
Instruction Following QwQ-32B leads
QwQ-32B: 72.6 (#137), Trinity Large Thinking: 70.5 (#162)
| Benchmark | QwQ-32B | Trinity Large Thinking |
|---|---|---|
| LMArena Instruction Following | 1297 | 1334 |
| LiveBench Instruction Following | 81.8% | — |
Long Context QwQ-32B leads
QwQ-32B: 49.0 (#11), Trinity Large Thinking: 41.3 (#144)
| Benchmark | QwQ-32B | Trinity Large Thinking |
|---|---|---|
| LMArena Longer Query | 1308 | 1355 |
| Fiction.LiveBench | 83.3% | — |
Writing & Preference Trinity Large Thinking leads
QwQ-32B: 50.6 (#180), Trinity Large Thinking: 53.8 (#158)
| Benchmark | QwQ-32B | Trinity Large Thinking |
|---|---|---|
| LMArena Text | 1329 | 1340 |
| LMArena Creative Writing | 1288 | 1320 |
| LMArena Multi-Turn | 1314 | 1342 |
| Short-Story Creative Writing | 80.2% | — |
| EQ-Bench Creative Writing | 1257 | — |
| LiveBench Language | 51.4% | — |
Frequently asked questions
Is QwQ-32B better than Trinity Large Thinking?
QwQ-32B is the stronger model overall, scoring 39.8 to 38.6 on the Noometry Index.
Is QwQ-32B or Trinity Large Thinking better for coding?
QwQ-32B scores higher on coding benchmarks: 35.4 versus 34.1 in the Noometry coding category.
How many benchmarks do QwQ-32B and Trinity Large Thinking share?
17 benchmarks have published results for both models. QwQ-32B has 36 scored results on Noometry and Trinity Large Thinking has 24.