Trinity Large Thinking vs Qwen3.7 Plus
Updated October 21, 2026. 46 benchmarks have a result for both. Coding is ranked on the Vibe Coding Index; every other board is shown as published.
Decision reading
Only Qwen3.7 Plus has a coding score, 33.2 on the Vibe Coding Index; Trinity Large Thinking has none, so the two cannot be ranked on coding.
Trinity Large Thinking has the edge where output tokens cost 1.6x less.
- Shared results
- 46
- Trinity Large Thinking only
- 6
- Qwen3.7 Plus only
- 29
- Like-for-like categories
- 8 of 9
Shared results can support a head-to-head reading. Results only one model has describe coverage, not superiority.
Which one for your work
Each card is decided by one number both models carry. Where only one has it, the card says so and makes no call.
Coding
Vibe Coding Index, six public coding benchmarks
No call
Only Qwen3.7 Plus has a coding score, so no call is made.
One side not measured
Intelligence
AA Intelligence Index
Qwen3.7 Plus
Qwen3.7 Plus leads, 25.2 against 10.8.
Same board, both measured
Agentic work
AA Agentic Index
Qwen3.7 Plus
Qwen3.7 Plus leads, 17.5 against 1.0.
Same board, both measured
Web design
Design Arena: websites
Qwen3.7 Plus
Qwen3.7 Plus leads, 1269 against 1137.
Same board, both measured
Long documents
Listed context window
Qwen3.7 Plus
Qwen3.7 Plus takes 1M tokens against 262K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
Trinity Large Thinking
Trinity Large Thinking $0.0006, Qwen3.7 Plus $0.0010 per turn.
List prices
At a glance
- Coding index
- Trinity Large Thinking not benchmarked, Qwen3.7 Plus 33.2 from 2 benchmarks.
- Widest category
- General, 21.0 points apart on average over 19 shared benchmarks.
- Widest single gap
- Long context reasoning (AA-LCR): Trinity Large Thinking 38.0% against Qwen3.7 Plus 73.0%, 35.0 points apart on a 0 to 100 scale.
- Output price
- Trinity Large Thinking $0.80 against Qwen3.7 Plus $1.28 per million output tokens, 1.6x apart.
- Context window
- Trinity Large Thinking takes 262K tokens, Qwen3.7 Plus 1M.
Benchmark by benchmark
First the score: boards each model leads, per category, where both have a result. Then every board, a category to a fold; bars are each result on a 0 to 100 scale, so compare the two in a row, not one row with another.
| Category | Trinity Large Thinking | Bars | Qwen3.7 Plus | Ties |
|---|---|---|---|---|
| Coding | 0 | 5 | ||
| Intelligence | 0 | 1 | ||
| Agentic work | 0 | 2 | ||
| Reasoning | 0 | 5 | ||
| Math | 0 | 2 | ||
| Knowledge | 0 | 4 | ||
| Web design | 0 | 8 | ||
| General | 0 | 19 | ||
| All shared boards | 0 | 46 |
CodingLike-for-likeSix of these boards feed the Vibe Coding Index05
| Benchmark | Trinity Large Thinking | Qwen3.7 Plus | Leader |
|---|---|---|---|
| LMArena WebDev | 1238 | Not measured | Only Trinity Large Thinking measured |
| AA Coding Index | 25.8 | 55.9 | Qwen3.7 Plus |
| Vibe Code Bench (Vals AI) | Not measured | 46.4% | Only Qwen3.7 Plus measured |
| Code migration (Vals AI) | Not measured | 12.9% | Only Qwen3.7 Plus measured |
| Terminal-Bench 2.1 (Vals AI) | Not measured | 52.8% | Only Qwen3.7 Plus measured |
| SkillsBench (Vals AI) | Not measured | 54.3% | Only Qwen3.7 Plus measured |
| SciCode | 40.6% | 46.1% | Qwen3.7 Plus |
| Terminal-Bench Hard (Artificial Analysis run) | 22.7% | 47.0% | Qwen3.7 Plus |
| FrontierCode | Not measured | 10.2% | Only Qwen3.7 Plus measured |
| LMArena Text: coding | 1357 | 1473 | Qwen3.7 Plus |
| LMArena Text: software and IT | 1362 | 1473 | Qwen3.7 Plus |
| LMArena WebDev: React | 1231 | Not measured | Only Trinity Large Thinking measured |
| LMArena WebDev: HTML | 1240 | Not measured | Only Trinity Large Thinking measured |
| Neither model has a result on the other 25 boards here | |||
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index01
| Benchmark | Trinity Large Thinking | Qwen3.7 Plus | Leader |
|---|---|---|---|
| AA Intelligence Index | 10.8 | 25.2 | Qwen3.7 Plus |
| Epoch Capabilities Index | Not measured | 147.0 | Only Qwen3.7 Plus measured |
Agentic workLike-for-likePublic boards, shown as published, kept out of the index02
| Benchmark | Trinity Large Thinking | Qwen3.7 Plus | Leader |
|---|---|---|---|
| AA Agentic Index | 1.0 | 17.5 | Qwen3.7 Plus |
| Finance Agent (Vals AI) | Not measured | 38.2% | Only Qwen3.7 Plus measured |
| Tax Agent Bench (Vals AI) | Not measured | 10.5% | Only Qwen3.7 Plus measured |
| Legal Research Bench (Vals AI) | Not measured | 16.4% | Only Qwen3.7 Plus measured |
| Excel Modeling Benchmark (Vals AI) | Not measured | 49.3% | Only Qwen3.7 Plus measured |
| τ²-Bench Telecom | 90.1% | 93.0% | Qwen3.7 Plus |
| OSWorld 2.0 | Not measured | 2.8% | Only Qwen3.7 Plus measured |
| Neither model has a result on the other 32 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index05
| Benchmark | Trinity Large Thinking | Qwen3.7 Plus | Leader |
|---|---|---|---|
| GPQA Diamond (Artificial Analysis run) | 75.2% | 90.0% | Qwen3.7 Plus |
| Humanity's Last Exam (Artificial Analysis run) | 15.8% | 35.6% | Qwen3.7 Plus |
| GPQA Diamond (Epoch AI run) | Not measured | 87.9% | Only Qwen3.7 Plus measured |
| Mystery game puzzles | Not measured | 17.0% | Only Qwen3.7 Plus measured |
| LMArena Text: hard prompts | 1342 | 1460 | Qwen3.7 Plus |
| LMArena Text: expert | 1359 | 1466 | Qwen3.7 Plus |
| LMArena Text: hard prompts in English | 1356 | 1460 | Qwen3.7 Plus |
| LMArena Vision: diagrams | Not measured | 1292 | Only Qwen3.7 Plus measured |
| LMArena Vision: homework | Not measured | 1295 | Only Qwen3.7 Plus measured |
| Neither model has a result on the other 12 boards here | |||
MathLike-for-likePublic boards, shown as published, kept out of the index02
| Benchmark | Trinity Large Thinking | Qwen3.7 Plus | Leader |
|---|---|---|---|
| OTIS Mock AIME | Not measured | 93.3% | Only Qwen3.7 Plus measured |
| FrontierMath, tiers 1 to 3 | Not measured | 34.4% | Only Qwen3.7 Plus measured |
| LMArena Text: math | 1365 | 1467 | Qwen3.7 Plus |
| LMArena Text: mathematical work | 1350 | 1470 | Qwen3.7 Plus |
| Neither model has a result on the other 9 boards here | |||
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index04
| Benchmark | Trinity Large Thinking | Qwen3.7 Plus | Leader |
|---|---|---|---|
| CaseLaw (Vals AI) | 57.9% | Not measured | Only Trinity Large Thinking measured |
| CorpFin (Vals AI) | 54.7% | Not measured | Only Trinity Large Thinking measured |
| MortgageTax (Vals AI) | Not measured | 66.2% | Only Qwen3.7 Plus measured |
| LMArena Text: science | 1355 | 1464 | Qwen3.7 Plus |
| LMArena Text: medicine and healthcare | 1349 | 1464 | Qwen3.7 Plus |
| LMArena Text: legal and government | 1345 | 1451 | Qwen3.7 Plus |
| LMArena Text: business and finance | 1329 | 1435 | Qwen3.7 Plus |
| Neither model has a result on the other 10 boards here | |||
Web designLike-for-likePublic boards, shown as published, kept out of the index08
| Benchmark | Trinity Large Thinking | Qwen3.7 Plus | Leader |
|---|---|---|---|
| Design Arena: websites | 1137 | 1269 | Qwen3.7 Plus |
| Design Arena: UI components | 1045 | 1261 | Qwen3.7 Plus |
| Design Arena: game dev | 1079 | 1262 | Qwen3.7 Plus |
| Design Arena: data viz | 1098 | 1275 | Qwen3.7 Plus |
| Design Arena: 3D | 1082 | 1239 | Qwen3.7 Plus |
| Design Arena: all code categories | 1117 | 1269 | Qwen3.7 Plus |
| Design Arena: SVG | 1017 | 1208 | Qwen3.7 Plus |
| Design Arena: ASCII art | 1041 | 1144 | Qwen3.7 Plus |
| Neither model has a result on the other 1 board here | |||
GeneralLike-for-likePublic boards, shown as published, kept out of the index019
| Benchmark | Trinity Large Thinking | Qwen3.7 Plus | Leader |
|---|---|---|---|
| SAGE (Vals AI) | Not measured | 39.3% | Only Qwen3.7 Plus measured |
| Vals Multimodal Index | Not measured | 53.9% | Only Qwen3.7 Plus measured |
| IFBench | 56.3% | 78.0% | Qwen3.7 Plus |
| Long context reasoning (AA-LCR) | 38.0% | 73.0% | Qwen3.7 Plus |
| DTBench | Not measured | 84.0% | Only Qwen3.7 Plus measured |
| LMCA | Not measured | 37.6% | Only Qwen3.7 Plus measured |
| Surface Evolver Bench | 15.6% | Not measured | Only Trinity Large Thinking measured |
| LMArena Text | 1340 | 1454 | Qwen3.7 Plus |
| LMArena Text: instruction following | 1326 | 1439 | Qwen3.7 Plus |
| LMArena Text: creative writing | 1308 | 1438 | Qwen3.7 Plus |
| LMArena Vision | Not measured | 1278 | Only Qwen3.7 Plus measured |
| LMArena Text: English | 1356 | 1458 | Qwen3.7 Plus |
| LMArena Text: non-English | 1325 | 1445 | Qwen3.7 Plus |
| LMArena Text: Chinese | 1371 | 1509 | Qwen3.7 Plus |
| LMArena Text: German | 1356 | 1471 | Qwen3.7 Plus |
| LMArena Text: Japanese | 1312 | 1412 | Qwen3.7 Plus |
| LMArena Text: Korean | 1306 | 1413 | Qwen3.7 Plus |
| LMArena Text: French | 1366 | 1472 | Qwen3.7 Plus |
| LMArena Text: Spanish | 1327 | 1457 | Qwen3.7 Plus |
| LMArena Text: Russian | 1338 | 1457 | Qwen3.7 Plus |
| LMArena Text: Polish | 1312 | 1449 | Qwen3.7 Plus |
| LMArena Text: multi-turn | 1320 | 1459 | Qwen3.7 Plus |
| LMArena Text: longer queries | 1318 | 1454 | Qwen3.7 Plus |
| LMArena Text: writing and language | 1317 | 1437 | Qwen3.7 Plus |
| LMArena Text: entertainment and media | 1296 | 1422 | Qwen3.7 Plus |
| LMArena Vision: English | Not measured | 1280 | Only Qwen3.7 Plus measured |
| LMArena Vision: Chinese | Not measured | 1332 | Only Qwen3.7 Plus measured |
| LMArena Vision: reading text | Not measured | 1288 | Only Qwen3.7 Plus measured |
| LMArena Vision: humor | Not measured | 1261 | Only Qwen3.7 Plus measured |
| LMArena Vision: creative writing | Not measured | 1258 | Only Qwen3.7 Plus measured |
| LMArena Document | Not measured | 1444 | Only Qwen3.7 Plus measured |
| Neither model has a result on the other 15 boards here | |||
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | Trinity Large Thinking | Qwen3.7 Plus | Leader |
|---|---|---|---|
| Neither model has a result on 5 boards here | |||
What each workload costs
Three fixed token mixes at each model's listed price, so per-token rates become a bill.
Chat turn
1K input + 500 output tokens
Trinity Large Thinking costs less
Repository review
50K input + 3K output tokens
Trinity Large Thinking costs less
Agent loop
200K input + 10K output tokens
Trinity Large Thinking costs less
Listed OpenRouter rates, without cache or batch discounts. A workload that does not fit a model's context window would need splitting.
Specification differences
The leading value in a row is marked; a row with a missing value names no leader. Our two rows are marked in red.
| Specification | Arcee AI Trinity Large Thinking | Qwen3.7 Plus |
|---|---|---|
| Maker | Arcee AI | Qwen |
| Weights | Open weights | No public weights listed |
| Released | April 1, 2026 | June 3, 2026 |
| Context window | 262K | 1M |
| Input $/Mtok | $0.25 | $0.32 |
| Output $/Mtok | $0.80 | $1.28 |
| Coding index | Not benchmarked | 33.2 |
| Independent measurements behind it | 1 | 2 |
| Cost per solved task | Not computable | Not computable |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is Trinity Large Thinking better than Qwen3.7 Plus for coding?
Only Qwen3.7 Plus has a coding score, 33.2 on the Vibe Coding Index; Trinity Large Thinking has none, so the two cannot be ranked on coding. Trinity Large Thinking has the edge where output tokens cost 1.6x less.
Which is cheaper, Trinity Large Thinking or Qwen3.7 Plus?
Trinity Large Thinking costs $0.25 per million input tokens and $0.80 per million output tokens; Qwen3.7 Plus costs $0.32 and $1.28. Cost per solved task is known for neither of them.
Which has the bigger context window, Trinity Large Thinking or Qwen3.7 Plus?
Qwen3.7 Plus, with 1M tokens against 262K.
How many benchmarks is the Trinity Large Thinking vs Qwen3.7 Plus comparison based on?
46 benchmarks have a result for both models as of October 21, 2026. Trinity Large Thinking's coding index rests on 1 independent benchmark and Qwen3.7 Plus's on 2. Where only one model has a result, the page says so instead of naming a winner.