# GLM-4.7 vs Mercury 2

> GLM-4.7 is the stronger model overall, scoring 41.7 to 38.8 on the Noometry Index. Mercury 2 costs 2.7× less per token, which makes it the better buy when GLM-4.7's lead doesn't matter for your workload.

- Canonical page: https://noometry.com/compare/glm-4-7-vs-mercury-2
- Last updated: 2026-10-10
- Shared benchmarks: 16

## Summary

- They share 16 benchmarks with published results for both. GLM-4.7 scores higher in 7 categories and Mercury 2 in 0 categories; 6 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where GLM-4.7 leads 47.0 to 35.6.
- The biggest single-benchmark swing is SciCode: 45.1% for GLM-4.7 and 38.7% for Mercury 2.
- Mercury 2 is cheaper at $0.25 / $0.75 per million input/output tokens, against $0.60 / $2.20 for GLM-4.7.
- GLM-4.7 accepts more context: 205K tokens versus 128K.
- GLM-4.7 has downloadable open weights; the other is API-only.

## Snapshot

| | GLM-4.7 | Mercury 2 |
|---|---|---|
| Provider | Z.ai (Zhipu) | Inception |
| Noometry Index | 41.7 | 38.8 |
| Rank | 117 | 167 |
| Context | 205K | 128K |
| Input $/M | $0.60 | $0.25 |
| Output $/M | $2.20 | $0.75 |
| Weights | Open | Proprietary |

## Coding

- GLM-4.7: 43.6 (#74)
- Mercury 2: 33.2 (#250)

| Benchmark | GLM-4.7 | Mercury 2 |
|---|---|---|
| LMArena WebDev | 1435 | 1170 |
| SciCode | 45.1% | 38.7% |
| LMArena Coding | 1454 | 1391 |
| ALE-Bench | 399.48 | 785.58 |
| WeirdML | — | 43.2% |

## Agentic & Tool Use

- GLM-4.7: 26.4 (#96)
- Mercury 2: —

| Benchmark | GLM-4.7 | Mercury 2 |
|---|---|---|
| Terminal-Bench | 33.4% | — |
| Vending-Bench 2 | 2,377 | — |

## Reasoning

- GLM-4.7: 23.7 (#161)
- Mercury 2: 23.0 (#170)

| Benchmark | GLM-4.7 | Mercury 2 |
|---|---|---|
| CritPt | 1.7% | 0.8% |
| LMArena Hard Prompts | 1443 | 1362 |
| SimpleBench | 47.7% | — |
| Chess Puzzles | 6% | — |
| Epoch Capabilities Index | 143.53 | — |

## Math

- GLM-4.7: 37.7 (#92)
- Mercury 2: —

| Benchmark | GLM-4.7 | Mercury 2 |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 83.3% | — |
| ProofBench | 6% | — |
| LMArena Math | 1423 | — |
| FrontierMath (Feb 2025 set) | 2.4% | — |
| FrontierMath Tier 4 (v1) | 0% | — |

## Knowledge

- GLM-4.7: 47.0 (#74)
- Mercury 2: 35.6 (#170)

| Benchmark | GLM-4.7 | Mercury 2 |
|---|---|---|
| Vectara Hallucination Rate | 11.7% | 12.3% |
| LMArena Expert | 1424 | 1358 |
| GPQA Diamond | 83.3% | — |
| SimpleQA Verified | 32.2% | — |

## Multilingual

- GLM-4.7: 53.0 (#75)
- Mercury 2: 46.8 (#153)

| Benchmark | GLM-4.7 | Mercury 2 |
|---|---|---|
| LMArena Non-English | 1417 | 1331 |
| LMArena Chinese | 1495 | 1416 |
| LMArena Russian | 1423 | 1303 |
| LMArena French | 1432 | — |
| LMArena German | 1426 | — |
| LMArena Japanese | 1439 | — |
| LMArena Korean | 1401 | — |
| LMArena Spanish | 1433 | — |

## Instruction Following

- GLM-4.7: 74.6 (#90)
- Mercury 2: 70.4 (#161)

| Benchmark | GLM-4.7 | Mercury 2 |
|---|---|---|
| LMArena Instruction Following | 1411 | 1328 |

## Long Context

- GLM-4.7: 42.8 (#111)
- Mercury 2: 40.4 (#149)

| Benchmark | GLM-4.7 | Mercury 2 |
|---|---|---|
| LMArena Longer Query | 1432 | 1329 |
| CL-bench | 15.9% | — |
| CL-bench Life | 10.9% | — |

## Writing & Preference

- GLM-4.7: 61.1 (#89)
- Mercury 2: 54.0 (#151)

| Benchmark | GLM-4.7 | Mercury 2 |
|---|---|---|
| LMArena Text | 1436 | 1355 |
| LMArena Creative Writing | 1401 | 1289 |
| LMArena Multi-Turn | 1446 | 1358 |
| EQ-Bench Creative Writing | 1413 | — |

## FAQ

### Is GLM-4.7 better than Mercury 2?

GLM-4.7 is the stronger model overall, scoring 41.7 to 38.8 on the Noometry Index. Mercury 2 costs 2.7× less per token, which makes it the better buy when GLM-4.7's lead doesn't matter for your workload.

### Which is cheaper, GLM-4.7 or Mercury 2?

Mercury 2 is cheaper. It lists at $0.25 per million input tokens and $0.75 per million output tokens; GLM-4.7 lists at $0.60 and $2.20.

### Is GLM-4.7 or Mercury 2 better for coding?

GLM-4.7 scores higher on coding benchmarks: 43.6 versus 33.2 in the Noometry coding category.

### Which has the bigger context window?

GLM-4.7 does, with 205K tokens against 128K.

### How many benchmarks do GLM-4.7 and Mercury 2 share?

16 benchmarks have published results for both models. GLM-4.7 has 36 scored results on Noometry and Mercury 2 has 17.