# GLM-4.5V vs Trinity Large Thinking

> GLM-4.5V is the stronger model overall, scoring 39.2 to 38.1 on the Noometry Index. Trinity Large Thinking costs 2.3× less per token, which makes it the better buy when GLM-4.5V's lead doesn't matter for your workload.

- Canonical page: https://noometry.com/compare/glm-4-5v-vs-trinity-large-thinking
- Last updated: 2026-10-10
- Shared benchmarks: 13

## Summary

- They share 13 benchmarks with published results for both. GLM-4.5V scores higher in 2 categories and Trinity Large Thinking in 6 categories; 7 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where GLM-4.5V leads 26.5 to 16.3.
- Trinity Large Thinking is cheaper at $0.25 / $0.80 per million input/output tokens, against $0.60 / $1.80 for GLM-4.5V.
- Trinity Large Thinking accepts more context: 262K tokens versus 64K.

## Snapshot

| | GLM-4.5V | Trinity Large Thinking |
|---|---|---|
| Provider | Z.ai (Zhipu) | Arcee AI |
| Noometry Index | 39.2 | 38.1 |
| Rank | 158 | 180 |
| Context | 64K | 262K |
| Input $/M | $0.60 | $0.25 |
| Output $/M | $1.80 | $0.80 |
| Weights | Open | Open |

## Coding

- GLM-4.5V: 38.9 (#152)
- Trinity Large Thinking: 33.8 (#238)

| Benchmark | GLM-4.5V | Trinity Large Thinking |
|---|---|---|
| LMArena Coding | 1347 | 1381 |
| LMArena WebDev | — | 1238 |
| SciCode | — | 36.1% |

## Reasoning

- GLM-4.5V: 26.5 (#118)
- Trinity Large Thinking: 16.3 (#298)

| Benchmark | GLM-4.5V | Trinity Large Thinking |
|---|---|---|
| LMArena Hard Prompts | 1335 | 1350 |
| Kagi LLM Benchmark | 59.8% | — |
| NYT Connections (extended) | — | 16.5% |
| CritPt | — | 0.9% |
| Thematic Generalization | — | 41.6% |
| Surface Evolver Bench | — | 15.6% |

## Math

- GLM-4.5V: 34.7 (#157)
- Trinity Large Thinking: 34.9 (#149)

| Benchmark | GLM-4.5V | Trinity Large Thinking |
|---|---|---|
| LMArena Math | 1353 | 1366 |

## Knowledge

- GLM-4.5V: 36.8 (#155)
- Trinity Large Thinking: 40.3 (#107)

| Benchmark | GLM-4.5V | Trinity Large Thinking |
|---|---|---|
| LMArena Expert | 1353 | 1359 |
| Vectara Hallucination Rate | — | 6.9% |

## Multimodal

- GLM-4.5V: 33.6 (#86)
- Trinity Large Thinking: —

| Benchmark | GLM-4.5V | Trinity Large Thinking |
|---|---|---|
| LMArena Vision | 1154 | — |

## Multilingual

- GLM-4.5V: 44.9 (#172)
- Trinity Large Thinking: 46.4 (#155)

| Benchmark | GLM-4.5V | Trinity Large Thinking |
|---|---|---|
| LMArena Non-English | 1304 | 1325 |
| LMArena Chinese | 1338 | 1372 |
| LMArena Russian | 1299 | 1338 |
| LMArena Spanish | 1335 | 1356 |
| LMArena French | — | 1374 |
| LMArena German | — | 1356 |
| LMArena Japanese | — | 1312 |
| LMArena Korean | — | 1304 |

## Instruction Following

- GLM-4.5V: 69.4 (#170)
- Trinity Large Thinking: 70.7 (#157)

| Benchmark | GLM-4.5V | Trinity Large Thinking |
|---|---|---|
| LMArena Instruction Following | 1311 | 1334 |

## Long Context

- GLM-4.5V: 39.6 (#166)
- Trinity Large Thinking: 41.2 (#139)

| Benchmark | GLM-4.5V | Trinity Large Thinking |
|---|---|---|
| LMArena Longer Query | 1305 | 1355 |

## Writing & Preference

- GLM-4.5V: 52.7 (#162)
- Trinity Large Thinking: 54.0 (#152)

| Benchmark | GLM-4.5V | Trinity Large Thinking |
|---|---|---|
| LMArena Text | 1333 | 1340 |
| LMArena Creative Writing | 1295 | 1321 |
| LMArena Multi-Turn | 1333 | 1342 |

## FAQ

### Is GLM-4.5V better than Trinity Large Thinking?

GLM-4.5V is the stronger model overall, scoring 39.2 to 38.1 on the Noometry Index. Trinity Large Thinking costs 2.3× less per token, which makes it the better buy when GLM-4.5V's lead doesn't matter for your workload.

### Which is cheaper, GLM-4.5V 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-4.5V lists at $0.60 and $1.80.

### Is GLM-4.5V or Trinity Large Thinking better for coding?

GLM-4.5V scores higher on coding benchmarks: 38.9 versus 33.8 in the Noometry coding category.

### Which has the bigger context window?

Trinity Large Thinking does, with 262K tokens against 64K.

### How many benchmarks do GLM-4.5V and Trinity Large Thinking share?

13 benchmarks have published results for both models. GLM-4.5V has 15 scored results on Noometry and Trinity Large Thinking has 24.