# GLM-4.6 vs GLM-4.6V

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

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

## Summary

- They share 11 benchmarks with published results for both. GLM-4.6 scores higher in 5 categories and GLM-4.6V in 2 categories; 6 gaps are clear of the uncertainty.
- The widest gap is in multilingual, where GLM-4.6 leads 53.6 to 48.8.
- GLM-4.6V is cheaper at $0.30 / $0.90 per million input/output tokens, against $0.60 / $2.20 for GLM-4.6.
- GLM-4.6 accepts more context: 205K tokens versus 128K.

## Snapshot

| | GLM-4.6 | GLM-4.6V |
|---|---|---|
| Provider | Z.ai (Zhipu) | Z.ai (Zhipu) |
| Noometry Index | 40.9 | 40.9 |
| Rank | 132 | 133 |
| Context | 205K | 128K |
| Input $/M | $0.60 | $0.30 |
| Output $/M | $2.20 | $0.90 |
| Weights | Open | Open |

## Coding

- GLM-4.6: 39.9 (#137)
- GLM-4.6V: 40.2 (#128)

| Benchmark | GLM-4.6 | GLM-4.6V |
|---|---|---|
| LMArena Coding | 1449 | 1390 |
| SWE-bench Verified (bash only) | 55.4% | — |
| LMArena WebDev | 1339 | — |
| SciCode | 38.4% | — |
| ALE-Bench | 340.82 | — |

## Agentic & Tool Use

- GLM-4.6: 32.1 (#60)
- GLM-4.6V: —

| Benchmark | GLM-4.6 | GLM-4.6V |
|---|---|---|
| Terminal-Bench | 24.5% | — |
| Berkeley Function Calling Leaderboard | 72.4% | — |

## Reasoning

- GLM-4.6: 23.1 (#168)
- GLM-4.6V: 26.5 (#117)

| Benchmark | GLM-4.6 | GLM-4.6V |
|---|---|---|
| LMArena Hard Prompts | 1440 | 1368 |
| Kagi LLM Benchmark | 47.4% | — |
| CritPt | 1.1% | — |

## Math

- GLM-4.6: 36.4 (#115)
- GLM-4.6V: —

| Benchmark | GLM-4.6 | GLM-4.6V |
|---|---|---|
| LMArena Math | 1431 | — |
| FrontierMath (Feb 2025 set) | 3.8% | — |
| FrontierMath Tier 4 (v1) | 2.1% | — |

## Knowledge

- GLM-4.6: 39.6 (#118)
- GLM-4.6V: 37.4 (#148)

| Benchmark | GLM-4.6 | GLM-4.6V |
|---|---|---|
| LMArena Expert | 1432 | 1372 |
| Vectara Hallucination Rate | 9.5% | — |

## Multimodal

- GLM-4.6: —
- GLM-4.6V: 34.2 (#83)

| Benchmark | GLM-4.6 | GLM-4.6V |
|---|---|---|
| LMArena Vision | — | 1164 |

## Multilingual

- GLM-4.6: 53.6 (#62)
- GLM-4.6V: 48.8 (#135)

| Benchmark | GLM-4.6 | GLM-4.6V |
|---|---|---|
| LMArena Non-English | 1426 | 1359 |
| LMArena Chinese | 1500 | 1426 |
| LMArena Russian | 1418 | 1341 |
| LMArena French | 1459 | — |
| LMArena German | 1447 | — |
| LMArena Japanese | 1394 | — |
| LMArena Korean | 1401 | — |
| LMArena Spanish | 1436 | — |

## Instruction Following

- GLM-4.6: 74.5 (#93)
- GLM-4.6V: 71.6 (#145)

| Benchmark | GLM-4.6 | GLM-4.6V |
|---|---|---|
| LMArena Instruction Following | 1410 | 1351 |

## Long Context

- GLM-4.6: 43.4 (#91)
- GLM-4.6V: 41.3 (#138)

| Benchmark | GLM-4.6 | GLM-4.6V |
|---|---|---|
| LMArena Longer Query | 1423 | 1358 |

## Writing & Preference

- GLM-4.6: 61.3 (#86)
- GLM-4.6V: 56.8 (#132)

| Benchmark | GLM-4.6 | GLM-4.6V |
|---|---|---|
| LMArena Text | 1440 | 1377 |
| LMArena Creative Writing | 1411 | 1347 |
| LMArena Multi-Turn | 1427 | 1359 |
| EQ-Bench Creative Writing | 1411 | — |

## FAQ

### Is GLM-4.6 better than GLM-4.6V?

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

### Which is cheaper, GLM-4.6 or GLM-4.6V?

GLM-4.6V is cheaper. It lists at $0.30 per million input tokens and $0.90 per million output tokens; GLM-4.6 lists at $0.60 and $2.20.

### Is GLM-4.6 or GLM-4.6V better for coding?

They score almost the same on coding (39.9 vs 40.2); test both on your own repository before choosing.

### Which has the bigger context window?

GLM-4.6 does, with 205K tokens against 128K.

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

11 benchmarks have published results for both models. GLM-4.6 has 29 scored results on Noometry and GLM-4.6V has 12.
