Model comparison
Qwen3.7 Flash vs Trinity Large Thinking
Qwen3.7 Flash is the stronger model overall, scoring 39.9 to 38.6 on the Noometry Index.
Last verified . 1 shared benchmarks.
Alibaba (Qwen)
Arcee AISummary
- They share 1 benchmark with published results for both. Qwen3.7 Flash scores higher in 3 categories and Trinity Large Thinking in 0 categories; 2 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where Qwen3.7 Flash leads 28.2 to 16.9.
- The biggest single-benchmark swing is NYT Connections (extended): 43.8% for Qwen3.7 Flash and 16.5% for Trinity Large Thinking.
- Qwen3.7 Flash is cheaper at $0.03 / $0.13 per million input/output tokens, against $0.25 / $0.80 for Trinity Large Thinking.
- Qwen3.7 Flash accepts more context: 1M tokens versus 262K.
- Trinity Large Thinking has downloadable open weights; the other is API-only.
Side by side
| Qwen3.7 Flash | Trinity Large Thinking | |
|---|---|---|
| Provider | Alibaba (Qwen) | Arcee AI |
| Noometry Index | 39.9 | 38.6 |
| Released | 2026-07-15 | 2026-04-01 |
| Weights | Proprietary | Open |
| Context window | 1M | 262K |
| Max output | 131K | 80K |
| Input $ / M tokens | $0.03 | $0.25 |
| Output $ / M tokens | $0.13 | $0.80 |
| Results tracked | 7 | 24 |
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Category by category
Coding Not comparable
Qwen3.7 Flash: —, Trinity Large Thinking: 34.1 (#244)
| Benchmark | Qwen3.7 Flash | Trinity Large Thinking |
|---|---|---|
| LMArena WebDev | — | 1238 |
| SciCode | — | 36.1% |
| LMArena Coding | — | 1381 |
Reasoning Qwen3.7 Flash leads
Qwen3.7 Flash: 28.2 (#108), Trinity Large Thinking: 16.9 (#298)
| Benchmark | Qwen3.7 Flash | Trinity Large Thinking |
|---|---|---|
| NYT Connections (extended) | 43.8% | 16.5% |
| CritPt | — | 0.9% |
| Chess Puzzles | 23% | — |
| Thematic Generalization | — | 41.6% |
| LMArena Hard Prompts | — | 1350 |
| Mystery Game Puzzles | 15% | — |
| Surface Evolver Bench | — | 15.6% |
| Epoch Capabilities Index | 144.64 | — |
Math Too close to call
Qwen3.7 Flash: 38.3 (#140), Trinity Large Thinking: 37.6 (#149)
| Benchmark | Qwen3.7 Flash | Trinity Large Thinking |
|---|---|---|
| FrontierMath (Tiers 1-3) | 19.3% | — |
| OTIS Mock AIME 2024-2025 | 86.7% | — |
| LMArena Math | — | 1366 |
Knowledge Qwen3.7 Flash leads
Qwen3.7 Flash: 48.9 (#75), Trinity Large Thinking: 40.9 (#113)
| Benchmark | Qwen3.7 Flash | Trinity Large Thinking |
|---|---|---|
| GPQA Diamond | 82.3% | — |
| Vectara Hallucination Rate | — | 6.9% |
| LMArena Expert | — | 1360 |
Multilingual Not comparable
Qwen3.7 Flash: —, Trinity Large Thinking: 46.2 (#160)
| Benchmark | Qwen3.7 Flash | Trinity Large Thinking |
|---|---|---|
| LMArena Non-English | — | 1325 |
| LMArena Chinese | — | 1373 |
| LMArena French | — | 1374 |
| LMArena German | — | 1356 |
| LMArena Japanese | — | 1311 |
| LMArena Korean | — | 1306 |
| LMArena Russian | — | 1337 |
| LMArena Spanish | — | 1357 |
Instruction Following Not comparable
Qwen3.7 Flash: —, Trinity Large Thinking: 70.5 (#162)
| Benchmark | Qwen3.7 Flash | Trinity Large Thinking |
|---|---|---|
| LMArena Instruction Following | — | 1334 |
Long Context Not comparable
Qwen3.7 Flash: —, Trinity Large Thinking: 41.3 (#144)
| Benchmark | Qwen3.7 Flash | Trinity Large Thinking |
|---|---|---|
| LMArena Longer Query | — | 1355 |
Writing & Preference Not comparable
Qwen3.7 Flash: —, Trinity Large Thinking: 53.8 (#158)
| Benchmark | Qwen3.7 Flash | Trinity Large Thinking |
|---|---|---|
| LMArena Text | — | 1340 |
| LMArena Creative Writing | — | 1320 |
| LMArena Multi-Turn | — | 1342 |
Frequently asked questions
Is Qwen3.7 Flash better than Trinity Large Thinking?
Qwen3.7 Flash is the stronger model overall, scoring 39.9 to 38.6 on the Noometry Index.
Which is cheaper, Qwen3.7 Flash or Trinity Large Thinking?
Qwen3.7 Flash is cheaper. It lists at $0.03 per million input tokens and $0.13 per million output tokens; Trinity Large Thinking lists at $0.25 and $0.80.
Which has the bigger context window?
Qwen3.7 Flash does, with 1M tokens against 262K.
How many benchmarks do Qwen3.7 Flash and Trinity Large Thinking share?
1 benchmark has published results for both models. Qwen3.7 Flash has 7 scored results on Noometry and Trinity Large Thinking has 24.