# GLM-4.5V vs GLM-5.3-Flash

> GLM-5.3-Flash is the stronger model overall, scoring 51.8 to 39.8 on the Noometry Index.

- Canonical page: https://noometry.com/compare/glm-4-5v-vs-glm-5-3-flash
- Last updated: 2026-10-10
- Shared benchmarks: 14

## Summary

- They share 14 benchmarks with published results for both. GLM-4.5V scores higher in 0 categories and GLM-5.3-Flash in 9 categories; 9 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where GLM-5.3-Flash leads 58.4 to 37.5.
- GLM-5.3-Flash is cheaper at $0.15 / $0.50 per million input/output tokens, against $0.60 / $1.80 for GLM-4.5V.
- GLM-5.3-Flash accepts more context: 1M tokens versus 64K.

## Snapshot

| | GLM-4.5V | GLM-5.3-Flash |
|---|---|---|
| Provider | Z.ai (Zhipu) | Z.ai (Zhipu) |
| Noometry Index | 39.8 | 51.8 |
| Rank | 158 | 41 |
| Context | 64K | 1M |
| Input $/M | $0.60 | $0.15 |
| Output $/M | $1.80 | $0.50 |
| Weights | Open | Open |

## Coding

- GLM-4.5V: 39.5 (#155)
- GLM-5.3-Flash: 53.1 (#31)

| Benchmark | GLM-4.5V | GLM-5.3-Flash |
|---|---|---|
| LMArena Coding | 1347 | 1508 |
| DeepSWE | — | 63.4% |
| FrontierCode | — | 31.8% |
| CursorBench | — | 36.8% |
| LMArena WebDev | — | 1609 |
| FrontierSWE | — | 18.1% |
| SciCode | — | 51.6% |
| ALE-Bench | — | 303.55 |

## Agentic & Tool Use

- GLM-4.5V: —
- GLM-5.3-Flash: 34.2 (#47)

| Benchmark | GLM-4.5V | GLM-5.3-Flash |
|---|---|---|
| APEX-Agents | — | 52.8% |
| GDP.pdf | — | 14% |

## Reasoning

- GLM-4.5V: 27.4 (#119)
- GLM-5.3-Flash: 48.0 (#42)

| Benchmark | GLM-4.5V | GLM-5.3-Flash |
|---|---|---|
| LMArena Hard Prompts | 1334 | 1491 |
| ARC-AGI-2 | — | 65.8% |
| Kagi LLM Benchmark | 59.8% | — |
| ARC-AGI-1 | — | 91% |
| CritPt | — | 15.4% |
| Chess Puzzles | — | 14% |
| Mystery Game Puzzles | — | 8% |
| Surface Evolver Bench | — | 52.5% |
| Bench to the Future 3 | — | 0.15 |
| Epoch Capabilities Index | — | 151.88 |

## Math

- GLM-4.5V: 37.4 (#159)
- GLM-5.3-Flash: 53.3 (#47)

| Benchmark | GLM-4.5V | GLM-5.3-Flash |
|---|---|---|
| LMArena Math | 1354 | 1500 |
| FrontierMath (Tiers 1-3) | — | 55.8% |
| FrontierMath Tier 4 | — | 17.1% |
| OTIS Mock AIME 2024-2025 | — | 93.9% |
| ProofBench | — | 21% |

## Knowledge

- GLM-4.5V: 37.5 (#156)
- GLM-5.3-Flash: 58.4 (#36)

| Benchmark | GLM-4.5V | GLM-5.3-Flash |
|---|---|---|
| LMArena Expert | 1353 | 1513 |
| GPQA Diamond | — | 90.2% |

## Multimodal

- GLM-4.5V: 34.3 (#92)
- GLM-5.3-Flash: 42.8 (#27)

| Benchmark | GLM-4.5V | GLM-5.3-Flash |
|---|---|---|
| LMArena Vision | 1154 | 1296 |

## Multilingual

- GLM-4.5V: 44.6 (#177)
- GLM-5.3-Flash: 56.0 (#25)

| Benchmark | GLM-4.5V | GLM-5.3-Flash |
|---|---|---|
| LMArena Non-English | 1303 | 1462 |
| LMArena Chinese | 1337 | 1527 |
| LMArena Russian | 1298 | 1469 |
| LMArena Spanish | 1336 | 1471 |
| LMArena French | — | 1496 |
| LMArena German | — | 1470 |
| LMArena Japanese | — | 1429 |
| LMArena Korean | — | 1446 |

## Instruction Following

- GLM-4.5V: 69.2 (#175)
- GLM-5.3-Flash: 77.5 (#20)

| Benchmark | GLM-4.5V | GLM-5.3-Flash |
|---|---|---|
| LMArena Instruction Following | 1311 | 1478 |

## Long Context

- GLM-4.5V: 39.6 (#171)
- GLM-5.3-Flash: 45.4 (#39)

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

## Writing & Preference

- GLM-4.5V: 52.5 (#170)
- GLM-5.3-Flash: 65.3 (#50)

| Benchmark | GLM-4.5V | GLM-5.3-Flash |
|---|---|---|
| LMArena Text | 1333 | 1471 |
| LMArena Creative Writing | 1295 | 1442 |
| LMArena Multi-Turn | 1332 | 1467 |

## FAQ

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

GLM-5.3-Flash is the stronger model overall, scoring 51.8 to 39.8 on the Noometry Index.

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

GLM-5.3-Flash is cheaper. It lists at $0.15 per million input tokens and $0.50 per million output tokens; GLM-4.5V lists at $0.60 and $1.80.

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

GLM-5.3-Flash scores higher on coding benchmarks: 53.1 versus 39.5 in the Noometry coding category.

### Which has the bigger context window?

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

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

14 benchmarks have published results for both models. GLM-4.5V has 15 scored results on Noometry and GLM-5.3-Flash has 40.