Trinity Large Thinking vs GLM 5V Turbo
Updated October 21, 2026. 45 benchmarks have a result for both. Coding is ranked on the Vibe Coding Index; every other board is shown as published.
Decision reading
Pick GLM 5V Turbo for coding: it scores 28.8 on the Vibe Coding Index against 5.4 for Trinity Large Thinking.
Pick Trinity Large Thinking when output tokens cost 5.0x less, or when the context window is larger, 262K against 203K tokens.
- Shared results
- 45
- Trinity Large Thinking only
- 7
- GLM 5V Turbo only
- 20
- 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, four public coding benchmarks
GLM 5V Turbo
GLM 5V Turbo scores 28.8 against 5.4.
One benchmark behind each score
Intelligence
AA Intelligence Index
GLM 5V Turbo
GLM 5V Turbo leads, 23.5 against 10.8.
Same board, both measured
Agentic work
AA Agentic Index
No call
Only Trinity Large Thinking has a AA Agentic Index result, 1.0.
Directional only
Web design
Design Arena: websites
GLM 5V Turbo
GLM 5V Turbo leads, 1230 against 1137.
Same board, both measured
Long documents
Listed context window
Trinity Large Thinking
Trinity Large Thinking takes 262K tokens against 203K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
Trinity Large Thinking
Trinity Large Thinking $0.0006, GLM 5V Turbo $0.0032 per turn.
List prices
At a glance
- Coding index
- Trinity Large Thinking 5.4 from 1 benchmark, GLM 5V Turbo 28.8 from 1 benchmark.
- Widest category
- Coding, 18.8 points apart on average over 6 shared benchmarks.
- Widest single gap
- Long context reasoning (AA-LCR): Trinity Large Thinking 38.0% against GLM 5V Turbo 70.3%, 32.3 points apart on a 0 to 100 scale.
- Output price
- Trinity Large Thinking $0.80 against GLM 5V Turbo $4.00 per million output tokens, 5.0x apart.
- Context window
- Trinity Large Thinking takes 262K tokens, GLM 5V Turbo 203K.
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 | GLM 5V Turbo | Ties |
|---|---|---|---|---|
| Coding | 0 | 6 | ||
| Intelligence | 0 | 1 | ||
| Agentic work | 0 | 1 | ||
| Reasoning | 0 | 5 | ||
| Math | 0 | 2 | ||
| Knowledge | 0 | 4 | ||
| Web design | 0 | 8 | ||
| General | 0 | 18 | ||
| All shared boards | 0 | 45 |
CodingLike-for-likeFour of these boards feed the Vibe Coding Index06
| Benchmark | Trinity Large Thinking | GLM 5V Turbo | Leader |
|---|---|---|---|
| LMArena WebDev | 1238 | 1402 | GLM 5V Turbo |
| AA Coding Index | 25.8 | Not measured | Only Trinity Large Thinking measured |
| SciCode | 40.6% | Not measured | Only Trinity Large Thinking measured |
| Terminal-Bench Hard (Artificial Analysis run) | 22.7% | 32.6% | GLM 5V Turbo |
| LMArena Text: coding | 1357 | 1466 | GLM 5V Turbo |
| LMArena Text: software and IT | 1362 | 1460 | GLM 5V Turbo |
| LMArena WebDev: React | 1231 | 1386 | GLM 5V Turbo |
| LMArena WebDev: HTML | 1240 | 1356 | GLM 5V Turbo |
| LMArena WebDev: from an image | Not measured | 1425 | Only GLM 5V Turbo measured |
| Neither model has a result on the other 29 boards here | |||
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index01
| Benchmark | Trinity Large Thinking | GLM 5V Turbo | Leader |
|---|---|---|---|
| AA Intelligence Index | 10.8 | 23.5 | GLM 5V Turbo |
| Neither model has a result on the other 1 board here | |||
Agentic workLike-for-likePublic boards, shown as published, kept out of the index01
| Benchmark | Trinity Large Thinking | GLM 5V Turbo | Leader |
|---|---|---|---|
| AA Agentic Index | 1.0 | Not measured | Only Trinity Large Thinking measured |
| Design Arena: agents building web apps | Not measured | 1124 | Only GLM 5V Turbo measured |
| Design Arena: agents building full-stack apps | Not measured | 1149 | Only GLM 5V Turbo measured |
| Design Arena: agents building mobile apps | Not measured | 1134 | Only GLM 5V Turbo measured |
| Design Arena: agents building Android apps | Not measured | 1267 | Only GLM 5V Turbo measured |
| Design Arena: agents building Godot games | Not measured | 957 | Only GLM 5V Turbo measured |
| Design Arena: agents building games | Not measured | 1102 | Only GLM 5V Turbo measured |
| Design Arena: HTML slides | Not measured | 1120 | Only GLM 5V Turbo measured |
| Design Arena: PowerPoint slides | Not measured | 1152 | Only GLM 5V Turbo measured |
| τ²-Bench Telecom | 90.1% | 98.5% | GLM 5V Turbo |
| Neither model has a result on the other 29 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index05
| Benchmark | Trinity Large Thinking | GLM 5V Turbo | Leader |
|---|---|---|---|
| GPQA Diamond (Artificial Analysis run) | 75.2% | 80.9% | GLM 5V Turbo |
| Humanity's Last Exam (Artificial Analysis run) | 15.8% | 17.1% | GLM 5V Turbo |
| LMArena Text: hard prompts | 1342 | 1443 | GLM 5V Turbo |
| LMArena Text: expert | 1359 | 1453 | GLM 5V Turbo |
| LMArena Text: hard prompts in English | 1356 | 1456 | GLM 5V Turbo |
| LMArena Vision: diagrams | Not measured | 1286 | Only GLM 5V Turbo measured |
| LMArena Vision: homework | Not measured | 1273 | Only GLM 5V Turbo measured |
| Neither model has a result on the other 14 boards here | |||
MathLike-for-likePublic boards, shown as published, kept out of the index02
| Benchmark | Trinity Large Thinking | GLM 5V Turbo | Leader |
|---|---|---|---|
| LMArena Text: math | 1365 | 1442 | GLM 5V Turbo |
| LMArena Text: mathematical work | 1350 | 1447 | GLM 5V Turbo |
| Neither model has a result on the other 11 boards here | |||
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index04
| Benchmark | Trinity Large Thinking | GLM 5V Turbo | 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 |
| LMArena Text: science | 1355 | 1448 | GLM 5V Turbo |
| LMArena Text: medicine and healthcare | 1349 | 1433 | GLM 5V Turbo |
| LMArena Text: legal and government | 1345 | 1436 | GLM 5V Turbo |
| LMArena Text: business and finance | 1329 | 1435 | GLM 5V Turbo |
| Neither model has a result on the other 11 boards here | |||
Web designLike-for-likePublic boards, shown as published, kept out of the index08
| Benchmark | Trinity Large Thinking | GLM 5V Turbo | Leader |
|---|---|---|---|
| Design Arena: websites | 1137 | 1230 | GLM 5V Turbo |
| Design Arena: UI components | 1045 | 1213 | GLM 5V Turbo |
| Design Arena: game dev | 1079 | 1219 | GLM 5V Turbo |
| Design Arena: data viz | 1098 | 1202 | GLM 5V Turbo |
| Design Arena: 3D | 1082 | 1209 | GLM 5V Turbo |
| Design Arena: all code categories | 1117 | 1228 | GLM 5V Turbo |
| Design Arena: SVG | 1016 | 1151 | GLM 5V Turbo |
| Design Arena: ASCII art | 1041 | 1118 | GLM 5V Turbo |
| Neither model has a result on the other 1 board here | |||
GeneralLike-for-likePublic boards, shown as published, kept out of the index018
| Benchmark | Trinity Large Thinking | GLM 5V Turbo | Leader |
|---|---|---|---|
| IFBench | 56.3% | 61.1% | GLM 5V Turbo |
| Long context reasoning (AA-LCR) | 38.0% | 70.3% | GLM 5V Turbo |
| Surface Evolver Bench | 15.6% | Not measured | Only Trinity Large Thinking measured |
| LMArena Text | 1340 | 1437 | GLM 5V Turbo |
| LMArena Text: instruction following | 1326 | 1423 | GLM 5V Turbo |
| LMArena Text: creative writing | 1308 | 1417 | GLM 5V Turbo |
| LMArena Vision | Not measured | 1264 | Only GLM 5V Turbo measured |
| LMArena Text: English | 1356 | 1454 | GLM 5V Turbo |
| LMArena Text: non-English | 1325 | 1420 | GLM 5V Turbo |
| LMArena Text: Chinese | 1371 | 1491 | GLM 5V Turbo |
| LMArena Text: German | 1356 | 1422 | GLM 5V Turbo |
| LMArena Text: Japanese | 1312 | Not measured | Only Trinity Large Thinking measured |
| LMArena Text: Korean | 1306 | 1397 | GLM 5V Turbo |
| LMArena Text: French | 1366 | 1443 | GLM 5V Turbo |
| LMArena Text: Spanish | 1327 | 1452 | GLM 5V Turbo |
| LMArena Text: Russian | 1338 | 1432 | GLM 5V Turbo |
| LMArena Text: Polish | 1312 | 1432 | GLM 5V Turbo |
| LMArena Text: multi-turn | 1320 | 1431 | GLM 5V Turbo |
| LMArena Text: longer queries | 1318 | 1438 | GLM 5V Turbo |
| LMArena Text: writing and language | 1317 | 1420 | GLM 5V Turbo |
| LMArena Text: entertainment and media | 1296 | 1407 | GLM 5V Turbo |
| LMArena Vision: English | Not measured | 1274 | Only GLM 5V Turbo measured |
| LMArena Vision: Chinese | Not measured | 1329 | Only GLM 5V Turbo measured |
| LMArena Vision: reading text | Not measured | 1270 | Only GLM 5V Turbo measured |
| LMArena Vision: humor | Not measured | 1268 | Only GLM 5V Turbo measured |
| LMArena Vision: captioning | Not measured | 1264 | Only GLM 5V Turbo measured |
| LMArena Vision: recognizing things | Not measured | 1241 | Only GLM 5V Turbo measured |
| LMArena Vision: creative writing | Not measured | 1252 | Only GLM 5V Turbo measured |
| LMArena Document | Not measured | 1416 | Only GLM 5V Turbo measured |
| Neither model has a result on the other 17 boards here | |||
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | Trinity Large Thinking | GLM 5V Turbo | 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 | Z.ai GLM 5V Turbo |
|---|---|---|
| Maker | Arcee AI | Z.ai |
| Weights | Open weights | No public weights listed |
| Released | April 1, 2026 | April 1, 2026 |
| Context window | 262K | 203K |
| Input $/Mtok | $0.25 | $1.20 |
| Output $/Mtok | $0.80 | $4.00 |
| Coding index | 5.4 | 28.8 |
| Independent measurements behind it | 1 | 1 |
| Cost per solved task | Not computable | Not computable |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is Trinity Large Thinking better than GLM 5V Turbo for coding?
Pick GLM 5V Turbo for coding: it scores 28.8 on the Vibe Coding Index against 5.4 for Trinity Large Thinking. Pick Trinity Large Thinking when output tokens cost 5.0x less, or when the context window is larger, 262K against 203K tokens.
Which is cheaper, Trinity Large Thinking or GLM 5V Turbo?
Trinity Large Thinking costs $0.25 per million input tokens and $0.80 per million output tokens; GLM 5V Turbo costs $1.20 and $4.00. Cost per solved task is known for neither of them.
Which has the bigger context window, Trinity Large Thinking or GLM 5V Turbo?
Trinity Large Thinking, with 262K tokens against 203K.
How many benchmarks is the Trinity Large Thinking vs GLM 5V Turbo comparison based on?
45 benchmarks have a result for both models as of October 21, 2026. Trinity Large Thinking's coding index rests on 1 independent benchmark and GLM 5V Turbo's on 1. Where only one model has a result, the page says so instead of naming a winner.