# GLM-4.5V vs GLM-4.7

> GLM-4.7 is the stronger model overall, scoring 42.0 to 39.8 on the Noometry Index.

- Canonical page: https://noometry.com/compare/glm-4-5v-vs-glm-4-7
- Last updated: 2026-10-10
- Shared benchmarks: 13

## Summary

- They share 13 benchmarks with published results for both. GLM-4.5V scores higher in 1 category and GLM-4.7 in 7 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where GLM-4.7 leads 47.0 to 37.5.
- GLM-4.5V is cheaper at $0.60 / $1.80 per million input/output tokens, against $0.60 / $2.20 for GLM-4.7.
- GLM-4.7 accepts more context: 205K tokens versus 64K.

## Snapshot

| | GLM-4.5V | GLM-4.7 |
|---|---|---|
| Provider | Z.ai (Zhipu) | Z.ai (Zhipu) |
| Noometry Index | 39.8 | 42.0 |
| Rank | 158 | 124 |
| Context | 64K | 205K |
| Input $/M | $0.60 | $0.60 |
| Output $/M | $1.80 | $2.20 |
| Weights | Open | Open |

## Coding

- GLM-4.5V: 39.5 (#155)
- GLM-4.7: 44.0 (#79)

| Benchmark | GLM-4.5V | GLM-4.7 |
|---|---|---|
| LMArena Coding | 1347 | 1454 |
| LMArena WebDev | — | 1435 |
| SciCode | — | 45.1% |
| ALE-Bench | — | 399.48 |

## Agentic & Tool Use

- GLM-4.5V: —
- GLM-4.7: 26.5 (#103)

| Benchmark | GLM-4.5V | GLM-4.7 |
|---|---|---|
| Terminal-Bench | — | 33.4% |
| Vending-Bench 2 | — | 2,377 |

## Reasoning

- GLM-4.5V: 27.4 (#119)
- GLM-4.7: 24.3 (#164)

| Benchmark | GLM-4.5V | GLM-4.7 |
|---|---|---|
| LMArena Hard Prompts | 1334 | 1443 |
| SimpleBench | — | 47.7% |
| Kagi LLM Benchmark | 59.8% | — |
| CritPt | — | 1.7% |
| Chess Puzzles | — | 6% |
| Epoch Capabilities Index | — | 143.51 |

## Math

- GLM-4.5V: 37.4 (#159)
- GLM-4.7: 38.6 (#135)

| Benchmark | GLM-4.5V | GLM-4.7 |
|---|---|---|
| LMArena Math | 1354 | 1423 |
| OTIS Mock AIME 2024-2025 | — | 83.3% |
| ProofBench | — | 6% |
| FrontierMath (Feb 2025 set) | — | 2.4% |
| FrontierMath Tier 4 (v1) | — | 0% |

## Knowledge

- GLM-4.5V: 37.5 (#156)
- GLM-4.7: 47.0 (#80)

| Benchmark | GLM-4.5V | GLM-4.7 |
|---|---|---|
| LMArena Expert | 1353 | 1424 |
| GPQA Diamond | — | 83.3% |
| SimpleQA Verified | — | 32.2% |
| Vectara Hallucination Rate | — | 11.7% |

## Multimodal

- GLM-4.5V: 34.3 (#92)
- GLM-4.7: —

| Benchmark | GLM-4.5V | GLM-4.7 |
|---|---|---|
| LMArena Vision | 1154 | — |

## Multilingual

- GLM-4.5V: 44.6 (#177)
- GLM-4.7: 52.8 (#79)

| Benchmark | GLM-4.5V | GLM-4.7 |
|---|---|---|
| LMArena Non-English | 1303 | 1417 |
| LMArena Chinese | 1337 | 1495 |
| LMArena Russian | 1298 | 1423 |
| LMArena Spanish | 1336 | 1434 |
| LMArena French | — | 1432 |
| LMArena German | — | 1424 |
| LMArena Japanese | — | 1439 |
| LMArena Korean | — | 1399 |

## Instruction Following

- GLM-4.5V: 69.2 (#175)
- GLM-4.7: 74.4 (#95)

| Benchmark | GLM-4.5V | GLM-4.7 |
|---|---|---|
| LMArena Instruction Following | 1311 | 1411 |

## Long Context

- GLM-4.5V: 39.6 (#171)
- GLM-4.7: 42.8 (#116)

| Benchmark | GLM-4.5V | GLM-4.7 |
|---|---|---|
| LMArena Longer Query | 1304 | 1432 |
| CL-bench | — | 15.9% |
| CL-bench Life | — | 10.9% |

## Writing & Preference

- GLM-4.5V: 52.5 (#170)
- GLM-4.7: 60.9 (#93)

| Benchmark | GLM-4.5V | GLM-4.7 |
|---|---|---|
| LMArena Text | 1333 | 1435 |
| LMArena Creative Writing | 1295 | 1401 |
| LMArena Multi-Turn | 1332 | 1446 |
| EQ-Bench Creative Writing | — | 1413 |

## FAQ

### Is GLM-4.5V better than GLM-4.7?

GLM-4.7 is the stronger model overall, scoring 42.0 to 39.8 on the Noometry Index.

### Which is cheaper, GLM-4.5V or GLM-4.7?

GLM-4.5V is cheaper. It lists at $0.60 per million input tokens and $1.80 per million output tokens; GLM-4.7 lists at $0.60 and $2.20.

### Is GLM-4.5V or GLM-4.7 better for coding?

GLM-4.7 scores higher on coding benchmarks: 44.0 versus 39.5 in the Noometry coding category.

### Which has the bigger context window?

GLM-4.7 does, with 205K tokens against 64K.

### How many benchmarks do GLM-4.5V and GLM-4.7 share?

13 benchmarks have published results for both models. GLM-4.5V has 15 scored results on Noometry and GLM-4.7 has 36.