# GLM-4.6V vs Longcat Flash Chat

> GLM-4.6V and Longcat Flash Chat score almost the same on the Noometry Index (40.9 vs 41.5), so choose on price, context window or the category you care about most.

- Canonical page: https://noometry.com/compare/glm-4-6v-vs-longcat-flash-chat
- Last updated: 2026-10-10
- Shared benchmarks: 11

## Summary

- They share 11 benchmarks with published results for both. GLM-4.6V scores higher in 1 category and Longcat Flash Chat in 6 categories; 7 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where GLM-4.6V leads 26.5 to 18.3.

## Snapshot

| | GLM-4.6V | Longcat Flash Chat |
|---|---|---|
| Provider | Z.ai (Zhipu) | Meituan |
| Noometry Index | 40.9 | 41.5 |
| Rank | 133 | 121 |
| Context | 128K | — |
| Input $/M | $0.30 | — |
| Output $/M | $0.90 | — |
| Weights | Open | Open |

## Coding

- GLM-4.6V: 40.2 (#128)
- Longcat Flash Chat: 42.9 (#85)

| Benchmark | GLM-4.6V | Longcat Flash Chat |
|---|---|---|
| LMArena Coding | 1390 | 1471 |

## Reasoning

- GLM-4.6V: 26.5 (#117)
- Longcat Flash Chat: 18.3 (#267)

| Benchmark | GLM-4.6V | Longcat Flash Chat |
|---|---|---|
| LMArena Hard Prompts | 1368 | 1440 |
| Kagi LLM Benchmark | — | 43.9% |
| NYT Connections (extended) | — | 17.7% |

## Math

- GLM-4.6V: —
- Longcat Flash Chat: 36.6 (#107)

| Benchmark | GLM-4.6V | Longcat Flash Chat |
|---|---|---|
| LMArena Math | — | 1441 |

## Knowledge

- GLM-4.6V: 37.4 (#148)
- Longcat Flash Chat: 40.0 (#111)

| Benchmark | GLM-4.6V | Longcat Flash Chat |
|---|---|---|
| LMArena Expert | 1372 | 1454 |

## Multimodal

- GLM-4.6V: 34.2 (#83)
- Longcat Flash Chat: —

| Benchmark | GLM-4.6V | Longcat Flash Chat |
|---|---|---|
| LMArena Vision | 1164 | — |

## Multilingual

- GLM-4.6V: 48.8 (#135)
- Longcat Flash Chat: 52.1 (#95)

| Benchmark | GLM-4.6V | Longcat Flash Chat |
|---|---|---|
| LMArena Non-English | 1359 | 1404 |
| LMArena Chinese | 1426 | 1465 |
| LMArena Russian | 1341 | 1396 |
| LMArena French | — | 1457 |
| LMArena German | — | 1409 |
| LMArena Japanese | — | 1373 |
| LMArena Korean | — | 1372 |
| LMArena Spanish | — | 1445 |

## Instruction Following

- GLM-4.6V: 71.6 (#145)
- Longcat Flash Chat: 74.6 (#92)

| Benchmark | GLM-4.6V | Longcat Flash Chat |
|---|---|---|
| LMArena Instruction Following | 1351 | 1411 |

## Long Context

- GLM-4.6V: 41.3 (#138)
- Longcat Flash Chat: 43.5 (#89)

| Benchmark | GLM-4.6V | Longcat Flash Chat |
|---|---|---|
| LMArena Longer Query | 1358 | 1425 |

## Writing & Preference

- GLM-4.6V: 56.8 (#132)
- Longcat Flash Chat: 61.2 (#88)

| Benchmark | GLM-4.6V | Longcat Flash Chat |
|---|---|---|
| LMArena Text | 1377 | 1427 |
| LMArena Creative Writing | 1347 | 1388 |
| LMArena Multi-Turn | 1359 | 1418 |

## FAQ

### Is GLM-4.6V better than Longcat Flash Chat?

GLM-4.6V and Longcat Flash Chat score almost the same on the Noometry Index (40.9 vs 41.5), so choose on price, context window or the category you care about most.

### Is GLM-4.6V or Longcat Flash Chat better for coding?

Longcat Flash Chat scores higher on coding benchmarks: 42.9 versus 40.2 in the Noometry coding category.

### How many benchmarks do GLM-4.6V and Longcat Flash Chat share?

11 benchmarks have published results for both models. GLM-4.6V has 12 scored results on Noometry and Longcat Flash Chat has 19.