# GLM-4.5V vs Mercury 2

> GLM-4.5V and Mercury 2 score almost the same on the Noometry Index (39.8 vs 39.1), so choose on price, context window or the category you care about most.

- Canonical page: https://noometry.com/compare/glm-4-5v-vs-mercury-2
- Last updated: 2026-10-11
- Shared benchmarks: 11

## Summary

- They share 11 benchmarks with published results for both. GLM-4.5V scores higher in 3 categories and Mercury 2 in 4 categories; 5 gaps are clear of the uncertainty.
- The widest gap is in coding, where GLM-4.5V leads 39.5 to 33.5.
- Mercury 2 is cheaper at $0.25 / $0.75 per million input/output tokens, against $0.60 / $1.80 for GLM-4.5V.
- Mercury 2 accepts more context: 128K tokens versus 64K.
- GLM-4.5V has downloadable open weights; the other is API-only.

## Snapshot

| | GLM-4.5V | Mercury 2 |
|---|---|---|
| Provider | Z.ai (Zhipu) | Inception |
| Noometry Index | 39.8 | 39.1 |
| Rank | 158 | 175 |
| Context | 64K | 128K |
| Input $/M | $0.60 | $0.25 |
| Output $/M | $1.80 | $0.75 |
| Weights | Open | Proprietary |

## Coding

- GLM-4.5V: 39.5 (#155)
- Mercury 2: 33.5 (#255)

| Benchmark | GLM-4.5V | Mercury 2 |
|---|---|---|
| LMArena Coding | 1347 | 1391 |
| LMArena WebDev | — | 1171 |
| SciCode | — | 38.7% |
| WeirdML | — | 43.2% |
| ALE-Bench | — | 785.58 |

## Reasoning

- GLM-4.5V: 27.4 (#119)
- Mercury 2: 23.8 (#170)

| Benchmark | GLM-4.5V | Mercury 2 |
|---|---|---|
| LMArena Hard Prompts | 1334 | 1362 |
| Kagi LLM Benchmark | 59.8% | — |
| CritPt | — | 0.8% |

## Math

- GLM-4.5V: 37.4 (#159)
- Mercury 2: —

| Benchmark | GLM-4.5V | Mercury 2 |
|---|---|---|
| LMArena Math | 1354 | — |

## Knowledge

- GLM-4.5V: 37.5 (#156)
- Mercury 2: 36.2 (#172)

| Benchmark | GLM-4.5V | Mercury 2 |
|---|---|---|
| LMArena Expert | 1353 | 1358 |
| Vectara Hallucination Rate | — | 12.3% |

## Multimodal

- GLM-4.5V: 34.3 (#92)
- Mercury 2: —

| Benchmark | GLM-4.5V | Mercury 2 |
|---|---|---|
| LMArena Vision | 1154 | — |

## Multilingual

- GLM-4.5V: 44.6 (#177)
- Mercury 2: 46.6 (#157)

| Benchmark | GLM-4.5V | Mercury 2 |
|---|---|---|
| LMArena Non-English | 1303 | 1331 |
| LMArena Chinese | 1337 | 1417 |
| LMArena Russian | 1298 | 1304 |
| LMArena Spanish | 1336 | — |

## Instruction Following

- GLM-4.5V: 69.2 (#175)
- Mercury 2: 70.2 (#165)

| Benchmark | GLM-4.5V | Mercury 2 |
|---|---|---|
| LMArena Instruction Following | 1311 | 1329 |

## Long Context

- GLM-4.5V: 39.6 (#171)
- Mercury 2: 40.5 (#154)

| Benchmark | GLM-4.5V | Mercury 2 |
|---|---|---|
| LMArena Longer Query | 1304 | 1330 |

## Writing & Preference

- GLM-4.5V: 52.5 (#170)
- Mercury 2: 53.8 (#155)

| Benchmark | GLM-4.5V | Mercury 2 |
|---|---|---|
| LMArena Text | 1333 | 1355 |
| LMArena Creative Writing | 1295 | 1289 |
| LMArena Multi-Turn | 1332 | 1358 |

## FAQ

### Is GLM-4.5V better than Mercury 2?

GLM-4.5V and Mercury 2 score almost the same on the Noometry Index (39.8 vs 39.1), so choose on price, context window or the category you care about most.

### Which is cheaper, GLM-4.5V or Mercury 2?

Mercury 2 is cheaper. It lists at $0.25 per million input tokens and $0.75 per million output tokens; GLM-4.5V lists at $0.60 and $1.80.

### Is GLM-4.5V or Mercury 2 better for coding?

GLM-4.5V scores higher on coding benchmarks: 39.5 versus 33.5 in the Noometry coding category.

### Which has the bigger context window?

Mercury 2 does, with 128K tokens against 64K.

### How many benchmarks do GLM-4.5V and Mercury 2 share?

11 benchmarks have published results for both models. GLM-4.5V has 15 scored results on Noometry and Mercury 2 has 17.