# GLM-4.6 vs Mercury 2

> GLM-4.6 is the stronger model overall, scoring 40.9 to 38.8 on the Noometry Index. Mercury 2 costs 2.7× less per token, which makes it the better buy when GLM-4.6's lead doesn't matter for your workload.

- Canonical page: https://noometry.com/compare/glm-4-6-vs-mercury-2
- Last updated: 2026-10-10
- Shared benchmarks: 16

## Summary

- They share 16 benchmarks with published results for both. GLM-4.6 scores higher in 7 categories and Mercury 2 in 0 categories; 6 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where GLM-4.6 leads 61.3 to 54.0.
- Mercury 2 is cheaper at $0.25 / $0.75 per million input/output tokens, against $0.60 / $2.20 for GLM-4.6.
- GLM-4.6 accepts more context: 205K tokens versus 128K.
- GLM-4.6 has downloadable open weights; the other is API-only.

## Snapshot

| | GLM-4.6 | Mercury 2 |
|---|---|---|
| Provider | Z.ai (Zhipu) | Inception |
| Noometry Index | 40.9 | 38.8 |
| Rank | 132 | 167 |
| Context | 205K | 128K |
| Input $/M | $0.60 | $0.25 |
| Output $/M | $2.20 | $0.75 |
| Weights | Open | Proprietary |

## Coding

- GLM-4.6: 39.9 (#137)
- Mercury 2: 33.2 (#250)

| Benchmark | GLM-4.6 | Mercury 2 |
|---|---|---|
| LMArena WebDev | 1339 | 1170 |
| SciCode | 38.4% | 38.7% |
| LMArena Coding | 1449 | 1391 |
| ALE-Bench | 340.82 | 785.58 |
| SWE-bench Verified (bash only) | 55.4% | — |
| WeirdML | — | 43.2% |

## Agentic & Tool Use

- GLM-4.6: 32.1 (#60)
- Mercury 2: —

| Benchmark | GLM-4.6 | Mercury 2 |
|---|---|---|
| Terminal-Bench | 24.5% | — |
| Berkeley Function Calling Leaderboard | 72.4% | — |

## Reasoning

- GLM-4.6: 23.1 (#168)
- Mercury 2: 23.0 (#170)

| Benchmark | GLM-4.6 | Mercury 2 |
|---|---|---|
| CritPt | 1.1% | 0.8% |
| LMArena Hard Prompts | 1440 | 1362 |
| Kagi LLM Benchmark | 47.4% | — |

## Math

- GLM-4.6: 36.4 (#115)
- Mercury 2: —

| Benchmark | GLM-4.6 | Mercury 2 |
|---|---|---|
| LMArena Math | 1431 | — |
| FrontierMath (Feb 2025 set) | 3.8% | — |
| FrontierMath Tier 4 (v1) | 2.1% | — |

## Knowledge

- GLM-4.6: 39.6 (#118)
- Mercury 2: 35.6 (#170)

| Benchmark | GLM-4.6 | Mercury 2 |
|---|---|---|
| Vectara Hallucination Rate | 9.5% | 12.3% |
| LMArena Expert | 1432 | 1358 |

## Multilingual

- GLM-4.6: 53.6 (#62)
- Mercury 2: 46.8 (#153)

| Benchmark | GLM-4.6 | Mercury 2 |
|---|---|---|
| LMArena Non-English | 1426 | 1331 |
| LMArena Chinese | 1500 | 1416 |
| LMArena Russian | 1418 | 1303 |
| LMArena French | 1459 | — |
| LMArena German | 1447 | — |
| LMArena Japanese | 1394 | — |
| LMArena Korean | 1401 | — |
| LMArena Spanish | 1436 | — |

## Instruction Following

- GLM-4.6: 74.5 (#93)
- Mercury 2: 70.4 (#161)

| Benchmark | GLM-4.6 | Mercury 2 |
|---|---|---|
| LMArena Instruction Following | 1410 | 1328 |

## Long Context

- GLM-4.6: 43.4 (#91)
- Mercury 2: 40.4 (#149)

| Benchmark | GLM-4.6 | Mercury 2 |
|---|---|---|
| LMArena Longer Query | 1423 | 1329 |

## Writing & Preference

- GLM-4.6: 61.3 (#86)
- Mercury 2: 54.0 (#151)

| Benchmark | GLM-4.6 | Mercury 2 |
|---|---|---|
| LMArena Text | 1440 | 1355 |
| LMArena Creative Writing | 1411 | 1289 |
| LMArena Multi-Turn | 1427 | 1358 |
| EQ-Bench Creative Writing | 1411 | — |

## FAQ

### Is GLM-4.6 better than Mercury 2?

GLM-4.6 is the stronger model overall, scoring 40.9 to 38.8 on the Noometry Index. Mercury 2 costs 2.7× less per token, which makes it the better buy when GLM-4.6's lead doesn't matter for your workload.

### Which is cheaper, GLM-4.6 or Mercury 2?

Mercury 2 is cheaper. It lists at $0.25 per million input tokens and $0.75 per million output tokens; GLM-4.6 lists at $0.60 and $2.20.

### Is GLM-4.6 or Mercury 2 better for coding?

GLM-4.6 scores higher on coding benchmarks: 39.9 versus 33.2 in the Noometry coding category.

### Which has the bigger context window?

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

### How many benchmarks do GLM-4.6 and Mercury 2 share?

16 benchmarks have published results for both models. GLM-4.6 has 29 scored results on Noometry and Mercury 2 has 17.