# GLM-4.5V vs GLM-5.3

> GLM-5.3 is the stronger model overall, scoring 54.8 to 39.8 on the Noometry Index. GLM-4.5V costs 2.4× less per token, which makes it the better buy when GLM-5.3's lead doesn't matter for your workload.

- Canonical page: https://noometry.com/compare/glm-4-5v-vs-glm-5-3
- Last updated: 2026-10-10
- Shared benchmarks: 13

## Summary

- They share 13 benchmarks with published results for both. GLM-4.5V scores higher in 0 categories and GLM-5.3 in 8 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in math, where GLM-5.3 leads 62.3 to 37.4.
- GLM-4.5V is cheaper at $0.60 / $1.80 per million input/output tokens, against $1.40 / $4.40 for GLM-5.3.
- GLM-5.3 accepts more context: 1M tokens versus 64K.

## Snapshot

| | GLM-4.5V | GLM-5.3 |
|---|---|---|
| Provider | Z.ai (Zhipu) | Z.ai (Zhipu) |
| Noometry Index | 39.8 | 54.8 |
| Rank | 158 | 26 |
| Context | 64K | 1M |
| Input $/M | $0.60 | $1.40 |
| Output $/M | $1.80 | $4.40 |
| Weights | Open | Open |

## Coding

- GLM-4.5V: 39.5 (#155)
- GLM-5.3: 59.5 (#14)

| Benchmark | GLM-4.5V | GLM-5.3 |
|---|---|---|
| LMArena Coding | 1347 | 1496 |
| DeepSWE | — | 69% |
| FrontierCode | — | 40.1% |
| CursorBench | — | 42.6% |
| LMArena WebDev | — | 1622 |
| FrontierSWE | — | 30.2% |
| SciCode | — | 59% |
| WeirdML | — | 75.4% |
| ALE-Bench | — | 1,317 |

## Agentic & Tool Use

- GLM-4.5V: —
- GLM-5.3: 36.4 (#38)

| Benchmark | GLM-4.5V | GLM-5.3 |
|---|---|---|
| APEX-Agents | — | 56.6% |
| Vending-Bench 2 | — | 8,164 |

## Reasoning

- GLM-4.5V: 27.4 (#119)
- GLM-5.3: 46.1 (#46)

| Benchmark | GLM-4.5V | GLM-5.3 |
|---|---|---|
| LMArena Hard Prompts | 1334 | 1489 |
| Kagi LLM Benchmark | 59.8% | — |
| NYT Connections (extended) | — | 74.2% |
| CritPt | — | 19.1% |
| Chess Puzzles | — | 21% |
| Mystery Game Puzzles | — | 33% |
| DTBench | — | 87.7% |
| LMCA | — | 55.5% |
| Bench to the Future 3 | — | 0.15 |
| Epoch Capabilities Index | — | 155.61 |

## Math

- GLM-4.5V: 37.4 (#159)
- GLM-5.3: 62.3 (#33)

| Benchmark | GLM-4.5V | GLM-5.3 |
|---|---|---|
| LMArena Math | 1354 | 1489 |
| FrontierMath (Tiers 1-3) | — | 68.8% |
| FrontierMath Tier 4 | — | 29.3% |
| OTIS Mock AIME 2024-2025 | — | 91.1% |
| ProofBench | — | 49% |

## Knowledge

- GLM-4.5V: 37.5 (#156)
- GLM-5.3: 58.3 (#37)

| Benchmark | GLM-4.5V | GLM-5.3 |
|---|---|---|
| LMArena Expert | 1353 | 1516 |
| GPQA Diamond | — | 90.9% |
| SimpleQA Verified | — | 41% |

## Multimodal

- GLM-4.5V: 34.3 (#92)
- GLM-5.3: —

| Benchmark | GLM-4.5V | GLM-5.3 |
|---|---|---|
| LMArena Vision | 1154 | — |

## Multilingual

- GLM-4.5V: 44.6 (#177)
- GLM-5.3: 55.7 (#28)

| Benchmark | GLM-4.5V | GLM-5.3 |
|---|---|---|
| LMArena Non-English | 1303 | 1457 |
| LMArena Chinese | 1337 | 1528 |
| LMArena Russian | 1298 | 1463 |
| LMArena Spanish | 1336 | 1460 |
| LMArena French | — | 1499 |
| LMArena German | — | 1499 |
| LMArena Japanese | — | 1453 |
| LMArena Korean | — | 1472 |

## Instruction Following

- GLM-4.5V: 69.2 (#175)
- GLM-5.3: 77.5 (#23)

| Benchmark | GLM-4.5V | GLM-5.3 |
|---|---|---|
| LMArena Instruction Following | 1311 | 1477 |

## Long Context

- GLM-4.5V: 39.6 (#171)
- GLM-5.3: 45.4 (#41)

| Benchmark | GLM-4.5V | GLM-5.3 |
|---|---|---|
| LMArena Longer Query | 1304 | 1482 |

## Writing & Preference

- GLM-4.5V: 52.5 (#170)
- GLM-5.3: 75.7 (#6)

| Benchmark | GLM-4.5V | GLM-5.3 |
|---|---|---|
| LMArena Text | 1333 | 1471 |
| LMArena Creative Writing | 1295 | 1457 |
| LMArena Multi-Turn | 1332 | 1472 |
| EQ-Bench Creative Writing | — | 2075 |

## FAQ

### Is GLM-4.5V better than GLM-5.3?

GLM-5.3 is the stronger model overall, scoring 54.8 to 39.8 on the Noometry Index. GLM-4.5V costs 2.4× less per token, which makes it the better buy when GLM-5.3's lead doesn't matter for your workload.

### Which is cheaper, GLM-4.5V or GLM-5.3?

GLM-4.5V is cheaper. It lists at $0.60 per million input tokens and $1.80 per million output tokens; GLM-5.3 lists at $1.40 and $4.40.

### Is GLM-4.5V or GLM-5.3 better for coding?

GLM-5.3 scores higher on coding benchmarks: 59.5 versus 39.5 in the Noometry coding category.

### Which has the bigger context window?

GLM-5.3 does, with 1M tokens against 64K.

### How many benchmarks do GLM-4.5V and GLM-5.3 share?

13 benchmarks have published results for both models. GLM-4.5V has 15 scored results on Noometry and GLM-5.3 has 42.