# GLM-5V-Turbo vs Trinity Large Thinking

> GLM-5V-Turbo is the stronger model overall, scoring 43.8 to 38.6 on the Noometry Index. Trinity Large Thinking costs 4.9× less per token, which makes it the better buy when GLM-5V-Turbo's lead doesn't matter for your workload.

- Canonical page: https://noometry.com/compare/glm-5v-turbo-vs-trinity-large-thinking
- Last updated: 2026-10-11
- Shared benchmarks: 17

## Summary

- They share 17 benchmarks with published results for both. GLM-5V-Turbo scores higher in 7 categories and Trinity Large Thinking in 1 category; 7 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where GLM-5V-Turbo leads 29.7 to 16.9.
- Trinity Large Thinking is cheaper at $0.25 / $0.80 per million input/output tokens, against $1.20 / $4 for GLM-5V-Turbo.
- Trinity Large Thinking accepts more context: 262K tokens versus 200K.
- Trinity Large Thinking has downloadable open weights; the other is API-only.

## Snapshot

| | GLM-5V-Turbo | Trinity Large Thinking |
|---|---|---|
| Provider | Z.ai (Zhipu) | Arcee AI |
| Noometry Index | 43.8 | 38.6 |
| Rank | 84 | 185 |
| Context | 200K | 262K |
| Input $/M | $1.20 | $0.25 |
| Output $/M | $4 | $0.80 |
| Weights | Proprietary | Open |

## Coding

- GLM-5V-Turbo: 42.1 (#111)
- Trinity Large Thinking: 34.1 (#244)

| Benchmark | GLM-5V-Turbo | Trinity Large Thinking |
|---|---|---|
| LMArena WebDev | 1401 | 1238 |
| LMArena Coding | 1466 | 1381 |
| SciCode | — | 36.1% |

## Reasoning

- GLM-5V-Turbo: 29.7 (#89)
- Trinity Large Thinking: 16.9 (#298)

| Benchmark | GLM-5V-Turbo | Trinity Large Thinking |
|---|---|---|
| LMArena Hard Prompts | 1443 | 1350 |
| NYT Connections (extended) | — | 16.5% |
| CritPt | — | 0.9% |
| Thematic Generalization | — | 41.6% |
| Surface Evolver Bench | — | 15.6% |

## Math

- GLM-5V-Turbo: 39.4 (#106)
- Trinity Large Thinking: 37.6 (#149)

| Benchmark | GLM-5V-Turbo | Trinity Large Thinking |
|---|---|---|
| LMArena Math | 1441 | 1366 |

## Knowledge

- GLM-5V-Turbo: 40.6 (#117)
- Trinity Large Thinking: 40.9 (#113)

| Benchmark | GLM-5V-Turbo | Trinity Large Thinking |
|---|---|---|
| LMArena Expert | 1452 | 1360 |
| Vectara Hallucination Rate | — | 6.9% |

## Multimodal

- GLM-5V-Turbo: 40.9 (#42)
- Trinity Large Thinking: —

| Benchmark | GLM-5V-Turbo | Trinity Large Thinking |
|---|---|---|
| LMArena Vision | 1264 | — |
| LMArena Document | 1416 | — |

## Multilingual

- GLM-5V-Turbo: 53.0 (#73)
- Trinity Large Thinking: 46.2 (#160)

| Benchmark | GLM-5V-Turbo | Trinity Large Thinking |
|---|---|---|
| LMArena Non-English | 1420 | 1325 |
| LMArena Chinese | 1488 | 1373 |
| LMArena French | 1444 | 1374 |
| LMArena German | 1423 | 1356 |
| LMArena Korean | 1396 | 1306 |
| LMArena Russian | 1431 | 1337 |
| LMArena Spanish | 1450 | 1357 |
| LMArena Japanese | — | 1311 |

## Instruction Following

- GLM-5V-Turbo: 75.0 (#80)
- Trinity Large Thinking: 70.5 (#162)

| Benchmark | GLM-5V-Turbo | Trinity Large Thinking |
|---|---|---|
| LMArena Instruction Following | 1423 | 1334 |

## Long Context

- GLM-5V-Turbo: 44.0 (#80)
- Trinity Large Thinking: 41.3 (#144)

| Benchmark | GLM-5V-Turbo | Trinity Large Thinking |
|---|---|---|
| LMArena Longer Query | 1438 | 1355 |

## Writing & Preference

- GLM-5V-Turbo: 62.5 (#73)
- Trinity Large Thinking: 53.8 (#158)

| Benchmark | GLM-5V-Turbo | Trinity Large Thinking |
|---|---|---|
| LMArena Text | 1437 | 1340 |
| LMArena Creative Writing | 1416 | 1320 |
| LMArena Multi-Turn | 1432 | 1342 |

## FAQ

### Is GLM-5V-Turbo better than Trinity Large Thinking?

GLM-5V-Turbo is the stronger model overall, scoring 43.8 to 38.6 on the Noometry Index. Trinity Large Thinking costs 4.9× less per token, which makes it the better buy when GLM-5V-Turbo's lead doesn't matter for your workload.

### Which is cheaper, GLM-5V-Turbo 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; GLM-5V-Turbo lists at $1.20 and $4.

### Is GLM-5V-Turbo or Trinity Large Thinking better for coding?

GLM-5V-Turbo scores higher on coding benchmarks: 42.1 versus 34.1 in the Noometry coding category.

### Which has the bigger context window?

Trinity Large Thinking does, with 262K tokens against 200K.

### How many benchmarks do GLM-5V-Turbo and Trinity Large Thinking share?

17 benchmarks have published results for both models. GLM-5V-Turbo has 19 scored results on Noometry and Trinity Large Thinking has 24.