# GLM-4.5V vs Qwen3.7 Plus

> Qwen3.7 Plus is the stronger model overall, scoring 45.3 to 39.8 on the Noometry Index.

- Canonical page: https://noometry.com/compare/glm-4-5v-vs-qwen3-7-plus
- Last updated: 2026-10-12
- Shared benchmarks: 14

## Summary

- They share 14 benchmarks with published results for both. GLM-4.5V scores higher in 1 category and Qwen3.7 Plus in 8 categories; 9 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where Qwen3.7 Plus leads 54.9 to 37.5.
- Qwen3.7 Plus is cheaper at $0.40 / $1.60 per million input/output tokens, against $0.60 / $1.80 for GLM-4.5V.
- Qwen3.7 Plus accepts more context: 1M tokens versus 64K.
- GLM-4.5V has downloadable open weights; the other is API-only.

## Snapshot

| | GLM-4.5V | Qwen3.7 Plus |
|---|---|---|
| Provider | Z.ai (Zhipu) | Alibaba (Qwen) |
| Noometry Index | 39.8 | 45.3 |
| Rank | 158 | 72 |
| Context | 64K | 1M |
| Input $/M | $0.60 | $0.40 |
| Output $/M | $1.80 | $1.60 |
| Weights | Open | Proprietary |

## Coding

- GLM-4.5V: 39.5 (#155)
- Qwen3.7 Plus: 36.6 (#206)

| Benchmark | GLM-4.5V | Qwen3.7 Plus |
|---|---|---|
| LMArena Coding | 1347 | 1473 |
| FrontierCode | — | 10.2% |
| SciCode | — | 45.5% |

## Agentic & Tool Use

- GLM-4.5V: —
- Qwen3.7 Plus: 21.4 (#138)

| Benchmark | GLM-4.5V | Qwen3.7 Plus |
|---|---|---|
| OSWorld 2.0 | — | 2.8% |

## Reasoning

- GLM-4.5V: 27.4 (#119)
- Qwen3.7 Plus: 39.3 (#59)

| Benchmark | GLM-4.5V | Qwen3.7 Plus |
|---|---|---|
| LMArena Hard Prompts | 1334 | 1460 |
| Kagi LLM Benchmark | 59.8% | — |
| NYT Connections (extended) | — | 74.8% |
| CritPt | — | 9.1% |
| Chess Puzzles | — | 24% |
| Mystery Game Puzzles | — | 17% |
| DTBench | — | 84% |
| LMCA | — | 37.6% |
| Epoch Capabilities Index | — | 147.37 |

## Math

- GLM-4.5V: 37.4 (#159)
- Qwen3.7 Plus: 50.5 (#56)

| Benchmark | GLM-4.5V | Qwen3.7 Plus |
|---|---|---|
| LMArena Math | 1354 | 1466 |
| FrontierMath (Tiers 1-3) | — | 34.4% |
| OTIS Mock AIME 2024-2025 | — | 93.3% |

## Knowledge

- GLM-4.5V: 37.5 (#156)
- Qwen3.7 Plus: 54.9 (#51)

| Benchmark | GLM-4.5V | Qwen3.7 Plus |
|---|---|---|
| LMArena Expert | 1353 | 1467 |
| GPQA Diamond | — | 87.9% |

## Multimodal

- GLM-4.5V: 34.3 (#92)
- Qwen3.7 Plus: 41.8 (#33)

| Benchmark | GLM-4.5V | Qwen3.7 Plus |
|---|---|---|
| LMArena Vision | 1154 | 1279 |
| LMArena Document | — | 1444 |

## Multilingual

- GLM-4.5V: 44.6 (#177)
- Qwen3.7 Plus: 54.8 (#38)

| Benchmark | GLM-4.5V | Qwen3.7 Plus |
|---|---|---|
| LMArena Non-English | 1303 | 1445 |
| LMArena Chinese | 1337 | 1510 |
| LMArena Russian | 1298 | 1457 |
| LMArena Spanish | 1336 | 1457 |
| LMArena French | — | 1473 |
| LMArena German | — | 1471 |
| LMArena Japanese | — | 1413 |
| LMArena Korean | — | 1415 |

## Instruction Following

- GLM-4.5V: 69.2 (#175)
- Qwen3.7 Plus: 75.8 (#52)

| Benchmark | GLM-4.5V | Qwen3.7 Plus |
|---|---|---|
| LMArena Instruction Following | 1311 | 1440 |

## Long Context

- GLM-4.5V: 39.6 (#171)
- Qwen3.7 Plus: 44.5 (#65)

| Benchmark | GLM-4.5V | Qwen3.7 Plus |
|---|---|---|
| LMArena Longer Query | 1304 | 1455 |

## Writing & Preference

- GLM-4.5V: 52.5 (#170)
- Qwen3.7 Plus: 64.3 (#56)

| Benchmark | GLM-4.5V | Qwen3.7 Plus |
|---|---|---|
| LMArena Text | 1333 | 1455 |
| LMArena Creative Writing | 1295 | 1439 |
| LMArena Multi-Turn | 1332 | 1460 |

## FAQ

### Is GLM-4.5V better than Qwen3.7 Plus?

Qwen3.7 Plus is the stronger model overall, scoring 45.3 to 39.8 on the Noometry Index.

### Which is cheaper, GLM-4.5V or Qwen3.7 Plus?

Qwen3.7 Plus is cheaper. It lists at $0.40 per million input tokens and $1.60 per million output tokens; GLM-4.5V lists at $0.60 and $1.80.

### Is GLM-4.5V or Qwen3.7 Plus better for coding?

GLM-4.5V scores higher on coding benchmarks: 39.5 versus 36.6 in the Noometry coding category.

### Which has the bigger context window?

Qwen3.7 Plus does, with 1M tokens against 64K.

### How many benchmarks do GLM-4.5V and Qwen3.7 Plus share?

14 benchmarks have published results for both models. GLM-4.5V has 15 scored results on Noometry and Qwen3.7 Plus has 32.