# GLM-4.5 vs Mercury 2

> GLM-4.5 is the stronger model overall, scoring 42.0 to 39.1 on the Noometry Index. Mercury 2 costs 2.7× less per token, which makes it the better buy when GLM-4.5's lead doesn't matter for your workload.

- Canonical page: https://noometry.com/compare/glm-4-5-vs-mercury-2
- Last updated: 2026-10-11
- Shared benchmarks: 13

## Summary

- They share 13 benchmarks with published results for both. GLM-4.5 scores higher in 5 categories and Mercury 2 in 2 categories; 6 gaps are clear of the uncertainty.
- The widest gap is in coding, where GLM-4.5 leads 41.4 to 33.5.
- Mercury 2 is cheaper at $0.25 / $0.75 per million input/output tokens, against $0.60 / $2.20 for GLM-4.5.
- GLM-4.5 accepts more context: 131K tokens versus 128K.
- GLM-4.5 has downloadable open weights; the other is API-only.

## Snapshot

| | GLM-4.5 | Mercury 2 |
|---|---|---|
| Provider | Z.ai (Zhipu) | Inception |
| Noometry Index | 42.0 | 39.1 |
| Rank | 122 | 175 |
| Context | 131K | 128K |
| Input $/M | $0.60 | $0.25 |
| Output $/M | $2.20 | $0.75 |
| Weights | Open | Proprietary |

## Coding

- GLM-4.5: 41.4 (#125)
- Mercury 2: 33.5 (#255)

| Benchmark | GLM-4.5 | Mercury 2 |
|---|---|---|
| WeirdML | 40.6% | 43.2% |
| LMArena Coding | 1434 | 1391 |
| ALE-Bench | 344.82 | 785.58 |
| SWE-bench Verified (bash only) | 54.2% | — |
| LMArena WebDev | — | 1171 |
| SciCode | — | 38.7% |
| AlgoTune | 1.52 | — |

## Reasoning

- GLM-4.5: 28.6 (#100)
- Mercury 2: 23.8 (#170)

| Benchmark | GLM-4.5 | Mercury 2 |
|---|---|---|
| LMArena Hard Prompts | 1429 | 1362 |
| Kagi LLM Benchmark | 57.9% | — |
| CritPt | — | 0.8% |

## Math

- GLM-4.5: 39.0 (#116)
- Mercury 2: —

| Benchmark | GLM-4.5 | Mercury 2 |
|---|---|---|
| LMArena Math | 1427 | — |

## Knowledge

- GLM-4.5: 35.9 (#179)
- Mercury 2: 36.2 (#172)

| Benchmark | GLM-4.5 | Mercury 2 |
|---|---|---|
| LMArena Expert | 1433 | 1358 |
| Humanity's Last Exam | 8.3% | — |
| Confabulations | 11.3% | — |
| Vectara Hallucination Rate | — | 12.3% |

## Multilingual

- GLM-4.5: 52.8 (#77)
- Mercury 2: 46.6 (#157)

| Benchmark | GLM-4.5 | Mercury 2 |
|---|---|---|
| LMArena Non-English | 1417 | 1331 |
| LMArena Chinese | 1465 | 1417 |
| LMArena Russian | 1414 | 1304 |
| LMArena French | 1418 | — |
| LMArena German | 1407 | — |
| LMArena Japanese | 1415 | — |
| LMArena Korean | 1380 | — |
| LMArena Spanish | 1454 | — |

## Instruction Following

- GLM-4.5: 74.1 (#104)
- Mercury 2: 70.2 (#165)

| Benchmark | GLM-4.5 | Mercury 2 |
|---|---|---|
| LMArena Instruction Following | 1404 | 1329 |

## Long Context

- GLM-4.5: 38.2 (#201)
- Mercury 2: 40.5 (#154)

| Benchmark | GLM-4.5 | Mercury 2 |
|---|---|---|
| LMArena Longer Query | 1412 | 1330 |
| Fiction.LiveBench | 58.3% | — |

## Writing & Preference

- GLM-4.5: 57.5 (#127)
- Mercury 2: 53.8 (#155)

| Benchmark | GLM-4.5 | Mercury 2 |
|---|---|---|
| LMArena Text | 1430 | 1355 |
| LMArena Creative Writing | 1395 | 1289 |
| LMArena Multi-Turn | 1415 | 1358 |
| Short-Story Creative Writing | 73.4% | — |
| EQ-Bench Creative Writing | 1343 | — |

## FAQ

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

GLM-4.5 is the stronger model overall, scoring 42.0 to 39.1 on the Noometry Index. Mercury 2 costs 2.7× less per token, which makes it the better buy when GLM-4.5's lead doesn't matter for your workload.

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

Mercury 2 is cheaper. It lists at $0.25 per million input tokens and $0.75 per million output tokens; GLM-4.5 lists at $0.60 and $2.20.

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

GLM-4.5 scores higher on coding benchmarks: 41.4 versus 33.5 in the Noometry coding category.

### Which has the bigger context window?

GLM-4.5 does, with 131K tokens against 128K.

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

13 benchmarks have published results for both models. GLM-4.5 has 27 scored results on Noometry and Mercury 2 has 17.