Model comparison
Qwen3.6 Flash vs Trinity Large Thinking
Qwen3.6 Flash and Trinity Large Thinking score almost the same on the Noometry Index (38.8 vs 38.6), so choose on price, context window or the category you care about most.
Last verified . 0 shared benchmarks.
Summary
- The widest gap is in reasoning, where Qwen3.6 Flash leads 29.0 to 16.9.
- Trinity Large Thinking is cheaper at $0.25 / $0.80 per million input/output tokens, against $0.19 / $1.13 for Qwen3.6 Flash.
- Qwen3.6 Flash accepts more context: 1M tokens versus 262K.
- Trinity Large Thinking has downloadable open weights; the other is API-only.
Side by side
| Qwen3.6 Flash | Trinity Large Thinking | |
|---|---|---|
| Provider | Alibaba (Qwen) | Arcee AI |
| Noometry Index | 38.8 | 38.6 |
| Released | 2026-04-27 | 2026-04-01 |
| Weights | Proprietary | Open |
| Context window | 1M | 262K |
| Max output | 66K | 80K |
| Input $ / M tokens | $0.19 | $0.25 |
| Output $ / M tokens | $1.13 | $0.80 |
| Results tracked | 13 | 24 |
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Category by category
Coding Not comparable
Qwen3.6 Flash: —, Trinity Large Thinking: 34.1 (#244)
| Benchmark | Qwen3.6 Flash | Trinity Large Thinking |
|---|---|---|
| LMArena WebDev | — | 1238 |
| SciCode | — | 36.1% |
| LMArena Coding | — | 1381 |
| ALE-Bench | 326.4 | — |
Reasoning Qwen3.6 Flash leads
Qwen3.6 Flash: 29.0 (#96), Trinity Large Thinking: 16.9 (#298)
| Benchmark | Qwen3.6 Flash | Trinity Large Thinking |
|---|---|---|
| SimpleBench | 35.2% | — |
| NYT Connections (extended) | — | 16.5% |
| CritPt | — | 0.9% |
| Chess Puzzles | 20% | — |
| Thematic Generalization | — | 41.6% |
| LMArena Hard Prompts | — | 1350 |
| Mystery Game Puzzles | 18% | — |
| DTBench | 77.1% | — |
| LMCA | 31% | — |
| Surface Evolver Bench | — | 15.6% |
| Epoch Capabilities Index | 143.26 | — |
Math Qwen3.6 Flash leads
Qwen3.6 Flash: 39.0 (#117), Trinity Large Thinking: 37.6 (#149)
| Benchmark | Qwen3.6 Flash | Trinity Large Thinking |
|---|---|---|
| FrontierMath (Tiers 1-3) | 22.5% | — |
| OTIS Mock AIME 2024-2025 | 84.4% | — |
| LMArena Math | — | 1366 |
| FrontierMath (Feb 2025 set) | 10.3% | — |
| FrontierMath Tier 4 (v1) | 0% | — |
Knowledge Qwen3.6 Flash leads
Qwen3.6 Flash: 42.1 (#100), Trinity Large Thinking: 40.9 (#113)
| Benchmark | Qwen3.6 Flash | Trinity Large Thinking |
|---|---|---|
| GPQA Diamond | 83.3% | — |
| SimpleQA Verified | 15.9% | — |
| Vectara Hallucination Rate | — | 6.9% |
| LMArena Expert | — | 1360 |
Multilingual Not comparable
Qwen3.6 Flash: —, Trinity Large Thinking: 46.2 (#160)
| Benchmark | Qwen3.6 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
Qwen3.6 Flash: —, Trinity Large Thinking: 70.5 (#162)
| Benchmark | Qwen3.6 Flash | Trinity Large Thinking |
|---|---|---|
| LMArena Instruction Following | — | 1334 |
Long Context Not comparable
Qwen3.6 Flash: —, Trinity Large Thinking: 41.3 (#144)
| Benchmark | Qwen3.6 Flash | Trinity Large Thinking |
|---|---|---|
| LMArena Longer Query | — | 1355 |
Writing & Preference Not comparable
Qwen3.6 Flash: —, Trinity Large Thinking: 53.8 (#158)
| Benchmark | Qwen3.6 Flash | Trinity Large Thinking |
|---|---|---|
| LMArena Text | — | 1340 |
| LMArena Creative Writing | — | 1320 |
| LMArena Multi-Turn | — | 1342 |
Frequently asked questions
Is Qwen3.6 Flash better than Trinity Large Thinking?
Qwen3.6 Flash and Trinity Large Thinking score almost the same on the Noometry Index (38.8 vs 38.6), so choose on price, context window or the category you care about most.
Which is cheaper, Qwen3.6 Flash 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; Qwen3.6 Flash lists at $0.19 and $1.13.
Which has the bigger context window?
Qwen3.6 Flash does, with 1M tokens against 262K.
How many benchmarks do Qwen3.6 Flash and Trinity Large Thinking share?
0 benchmarks have published results for both models. Qwen3.6 Flash has 13 scored results on Noometry and Trinity Large Thinking has 24.