# GLM-4.7-Flash vs Grok-2 (Dec 2024)

> GLM-4.7-Flash is the stronger model overall, scoring 38.8 to 33.7 on the Noometry Index.

- Canonical page: https://noometry.com/compare/glm-4-7-flash-vs-grok-2
- Last updated: 2026-10-10
- Shared benchmarks: 18

## Summary

- They share 18 benchmarks with published results for both. GLM-4.7-Flash scores higher in 7 categories and Grok-2 (Dec 2024) in 1 category; 8 gaps are clear of the uncertainty.
- The widest gap is in math, where GLM-4.7-Flash leads 36.1 to 20.8.
- The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 58.3% for GLM-4.7-Flash and 11.5% for Grok-2 (Dec 2024).
- GLM-4.7-Flash has downloadable open weights; the other is API-only.

## Snapshot

| | GLM-4.7-Flash | Grok-2 (Dec 2024) |
|---|---|---|
| Provider | Z.ai (Zhipu) | xAI |
| Noometry Index | 38.8 | 33.7 |
| Rank | 180 | 239 |
| Context | 200K | — |
| Input $/M | $0.06 | — |
| Output $/M | $0.40 | — |
| Weights | Open | Proprietary |

## Coding

- GLM-4.7-Flash: 40.6 (#135)
- Grok-2 (Dec 2024): 33.3 (#258)

| Benchmark | GLM-4.7-Flash | Grok-2 (Dec 2024) |
|---|---|---|
| LMArena Coding | 1383 | 1287 |
| WeirdML | — | 22.2% |
| LiveBench Coding | — | 46.4% |

## Reasoning

- GLM-4.7-Flash: 20.9 (#229)
- Grok-2 (Dec 2024): 16.9 (#299)

| Benchmark | GLM-4.7-Flash | Grok-2 (Dec 2024) |
|---|---|---|
| LMArena Hard Prompts | 1356 | 1272 |
| SimpleBench | — | 22.7% |
| Chess Puzzles | 0% | — |
| LiveBench Reasoning | — | 54.8% |
| DTBench | — | 65.2% |
| LiveBench Data Analysis | — | 54.5% |
| Epoch Capabilities Index | — | 130.48 |
| LiveBench | — | 54.3% |

## Math

- GLM-4.7-Flash: 36.1 (#173)
- Grok-2 (Dec 2024): 20.8 (#284)

| Benchmark | GLM-4.7-Flash | Grok-2 (Dec 2024) |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 58.3% | 11.5% |
| LMArena Math | 1355 | 1283 |
| LiveBench Math | — | 54.9% |
| MATH Level 5 | — | 63.5% |
| FrontierMath (Feb 2025 set) | — | 0.7% |

## Knowledge

- GLM-4.7-Flash: 35.5 (#184)
- Grok-2 (Dec 2024): 29.8 (#233)

| Benchmark | GLM-4.7-Flash | Grok-2 (Dec 2024) |
|---|---|---|
| GPQA Diamond | 60.5% | 53.8% |
| LMArena Expert | 1357 | 1254 |
| Confabulations | — | 20.1% |
| Vectara Hallucination Rate | 9.3% | — |

## Multilingual

- GLM-4.7-Flash: 46.5 (#158)
- Grok-2 (Dec 2024): 43.1 (#188)

| Benchmark | GLM-4.7-Flash | Grok-2 (Dec 2024) |
|---|---|---|
| LMArena Non-English | 1330 | 1282 |
| LMArena Chinese | 1403 | 1289 |
| LMArena French | 1332 | 1318 |
| LMArena German | 1337 | 1287 |
| LMArena Korean | 1283 | 1237 |
| LMArena Russian | 1332 | 1286 |
| LMArena Spanish | 1350 | 1281 |
| LMArena Japanese | — | 1244 |

## Instruction Following

- GLM-4.7-Flash: 70.1 (#167)
- Grok-2 (Dec 2024): 66.9 (#202)

| Benchmark | GLM-4.7-Flash | Grok-2 (Dec 2024) |
|---|---|---|
| LMArena Instruction Following | 1327 | 1270 |
| LiveBench Instruction Following | — | 69.6% |

## Long Context

- GLM-4.7-Flash: 40.9 (#148)
- Grok-2 (Dec 2024): 38.8 (#190)

| Benchmark | GLM-4.7-Flash | Grok-2 (Dec 2024) |
|---|---|---|
| LMArena Longer Query | 1345 | 1276 |

## Writing & Preference

- GLM-4.7-Flash: 47.4 (#210)
- Grok-2 (Dec 2024): 48.6 (#198)

| Benchmark | GLM-4.7-Flash | Grok-2 (Dec 2024) |
|---|---|---|
| LMArena Text | 1351 | 1305 |
| LMArena Creative Writing | 1297 | 1284 |
| LMArena Multi-Turn | 1342 | 1290 |
| Short-Story Creative Writing | — | 63.6% |
| EQ-Bench Creative Writing | 1125 | — |
| LiveBench Language | — | 45.6% |

## FAQ

### Is GLM-4.7-Flash better than Grok-2 (Dec 2024)?

GLM-4.7-Flash is the stronger model overall, scoring 38.8 to 33.7 on the Noometry Index.

### Is GLM-4.7-Flash or Grok-2 (Dec 2024) better for coding?

GLM-4.7-Flash scores higher on coding benchmarks: 40.6 versus 33.3 in the Noometry coding category.

### How many benchmarks do GLM-4.7-Flash and Grok-2 (Dec 2024) share?

18 benchmarks have published results for both models. GLM-4.7-Flash has 21 scored results on Noometry and Grok-2 (Dec 2024) has 34.