# GLM-4.5 vs Grok-2 (Dec 2024)

> GLM-4.5 is the stronger model overall, scoring 42.0 to 33.7 on the Noometry Index.

- Canonical page: https://noometry.com/compare/glm-4-5-vs-grok-2
- Last updated: 2026-10-10
- Shared benchmarks: 20

## Summary

- They share 20 benchmarks with published results for both. GLM-4.5 scores higher in 7 categories and Grok-2 (Dec 2024) in 1 category; 7 gaps are clear of the uncertainty.
- The widest gap is in math, where GLM-4.5 leads 39.0 to 20.8.
- The biggest single-benchmark swing is WeirdML: 40.6% for GLM-4.5 and 22.2% for Grok-2 (Dec 2024).
- GLM-4.5 has downloadable open weights; the other is API-only.

## Snapshot

| | GLM-4.5 | Grok-2 (Dec 2024) |
|---|---|---|
| Provider | Z.ai (Zhipu) | xAI |
| Noometry Index | 42.0 | 33.7 |
| Rank | 122 | 239 |
| Context | 131K | — |
| Input $/M | $0.60 | — |
| Output $/M | $2.20 | — |
| Weights | Open | Proprietary |

## Coding

- GLM-4.5: 41.4 (#125)
- Grok-2 (Dec 2024): 33.3 (#258)

| Benchmark | GLM-4.5 | Grok-2 (Dec 2024) |
|---|---|---|
| WeirdML | 40.6% | 22.2% |
| LMArena Coding | 1434 | 1287 |
| SWE-bench Verified (bash only) | 54.2% | — |
| LiveBench Coding | — | 46.4% |
| ALE-Bench | 344.82 | — |
| AlgoTune | 1.52 | — |

## Reasoning

- GLM-4.5: 28.6 (#100)
- Grok-2 (Dec 2024): 16.9 (#299)

| Benchmark | GLM-4.5 | Grok-2 (Dec 2024) |
|---|---|---|
| LMArena Hard Prompts | 1429 | 1272 |
| SimpleBench | — | 22.7% |
| Kagi LLM Benchmark | 57.9% | — |
| LiveBench Reasoning | — | 54.8% |
| DTBench | — | 65.2% |
| LiveBench Data Analysis | — | 54.5% |
| Epoch Capabilities Index | — | 130.48 |
| LiveBench | — | 54.3% |

## Math

- GLM-4.5: 39.0 (#116)
- Grok-2 (Dec 2024): 20.8 (#284)

| Benchmark | GLM-4.5 | Grok-2 (Dec 2024) |
|---|---|---|
| LMArena Math | 1427 | 1283 |
| OTIS Mock AIME 2024-2025 | — | 11.5% |
| LiveBench Math | — | 54.9% |
| MATH Level 5 | — | 63.5% |
| FrontierMath (Feb 2025 set) | — | 0.7% |

## Knowledge

- GLM-4.5: 35.9 (#179)
- Grok-2 (Dec 2024): 29.8 (#233)

| Benchmark | GLM-4.5 | Grok-2 (Dec 2024) |
|---|---|---|
| Confabulations | 11.3% | 20.1% |
| LMArena Expert | 1433 | 1254 |
| GPQA Diamond | — | 53.8% |
| Humanity's Last Exam | 8.3% | — |

## Multilingual

- GLM-4.5: 52.8 (#77)
- Grok-2 (Dec 2024): 43.1 (#188)

| Benchmark | GLM-4.5 | Grok-2 (Dec 2024) |
|---|---|---|
| LMArena Non-English | 1417 | 1282 |
| LMArena Chinese | 1465 | 1289 |
| LMArena French | 1418 | 1318 |
| LMArena German | 1407 | 1287 |
| LMArena Japanese | 1415 | 1244 |
| LMArena Korean | 1380 | 1237 |
| LMArena Russian | 1414 | 1286 |
| LMArena Spanish | 1454 | 1281 |

## Instruction Following

- GLM-4.5: 74.1 (#104)
- Grok-2 (Dec 2024): 66.9 (#202)

| Benchmark | GLM-4.5 | Grok-2 (Dec 2024) |
|---|---|---|
| LMArena Instruction Following | 1404 | 1270 |
| LiveBench Instruction Following | — | 69.6% |

## Long Context

- GLM-4.5: 38.2 (#201)
- Grok-2 (Dec 2024): 38.8 (#190)

| Benchmark | GLM-4.5 | Grok-2 (Dec 2024) |
|---|---|---|
| LMArena Longer Query | 1412 | 1276 |
| Fiction.LiveBench | 58.3% | — |

## Writing & Preference

- GLM-4.5: 57.5 (#127)
- Grok-2 (Dec 2024): 48.6 (#198)

| Benchmark | GLM-4.5 | Grok-2 (Dec 2024) |
|---|---|---|
| LMArena Text | 1430 | 1305 |
| LMArena Creative Writing | 1395 | 1284 |
| Short-Story Creative Writing | 73.4% | 63.6% |
| LMArena Multi-Turn | 1415 | 1290 |
| EQ-Bench Creative Writing | 1343 | — |
| LiveBench Language | — | 45.6% |

## FAQ

### Is GLM-4.5 better than Grok-2 (Dec 2024)?

GLM-4.5 is the stronger model overall, scoring 42.0 to 33.7 on the Noometry Index.

### Is GLM-4.5 or Grok-2 (Dec 2024) better for coding?

GLM-4.5 scores higher on coding benchmarks: 41.4 versus 33.3 in the Noometry coding category.

### How many benchmarks do GLM-4.5 and Grok-2 (Dec 2024) share?

20 benchmarks have published results for both models. GLM-4.5 has 27 scored results on Noometry and Grok-2 (Dec 2024) has 34.