# GLM-5.3-Flash vs Grok-2 (Dec 2024)

> GLM-5.3-Flash is the stronger model overall, scoring 51.8 to 33.7 on the Noometry Index.

- Canonical page: https://noometry.com/compare/glm-5-3-flash-vs-grok-2
- Last updated: 2026-10-11
- Shared benchmarks: 20

## Summary

- They share 20 benchmarks with published results for both. GLM-5.3-Flash scores higher in 8 categories and Grok-2 (Dec 2024) in 0 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in math, where GLM-5.3-Flash leads 53.3 to 20.8.
- The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 93.9% for GLM-5.3-Flash and 11.5% for Grok-2 (Dec 2024).
- GLM-5.3-Flash has downloadable open weights; the other is API-only.

## Snapshot

| | GLM-5.3-Flash | Grok-2 (Dec 2024) |
|---|---|---|
| Provider | Z.ai (Zhipu) | xAI |
| Noometry Index | 51.8 | 33.7 |
| Rank | 41 | 239 |
| Context | 1M | — |
| Input $/M | $0.15 | — |
| Output $/M | $0.50 | — |
| Weights | Open | Proprietary |

## Coding

- GLM-5.3-Flash: 53.1 (#31)
- Grok-2 (Dec 2024): 33.3 (#258)

| Benchmark | GLM-5.3-Flash | Grok-2 (Dec 2024) |
|---|---|---|
| LMArena Coding | 1508 | 1287 |
| DeepSWE | 63.4% | — |
| FrontierCode | 31.8% | — |
| CursorBench | 36.8% | — |
| LMArena WebDev | 1609 | — |
| FrontierSWE | 18.1% | — |
| SciCode | 51.6% | — |
| WeirdML | — | 22.2% |
| LiveBench Coding | — | 46.4% |
| ALE-Bench | 303.55 | — |

## Agentic & Tool Use

- GLM-5.3-Flash: 34.2 (#47)
- Grok-2 (Dec 2024): —

| Benchmark | GLM-5.3-Flash | Grok-2 (Dec 2024) |
|---|---|---|
| APEX-Agents | 52.8% | — |
| GDP.pdf | 14% | — |

## Reasoning

- GLM-5.3-Flash: 48.0 (#42)
- Grok-2 (Dec 2024): 16.9 (#299)

| Benchmark | GLM-5.3-Flash | Grok-2 (Dec 2024) |
|---|---|---|
| LMArena Hard Prompts | 1491 | 1272 |
| Epoch Capabilities Index | 151.88 | 130.48 |
| ARC-AGI-2 | 65.8% | — |
| SimpleBench | — | 22.7% |
| ARC-AGI-1 | 91% | — |
| CritPt | 15.4% | — |
| Chess Puzzles | 14% | — |
| LiveBench Reasoning | — | 54.8% |
| Mystery Game Puzzles | 8% | — |
| DTBench | — | 65.2% |
| LiveBench Data Analysis | — | 54.5% |
| Surface Evolver Bench | 52.5% | — |
| Bench to the Future 3 | 0.15 | — |
| LiveBench | — | 54.3% |

## Math

- GLM-5.3-Flash: 53.3 (#47)
- Grok-2 (Dec 2024): 20.8 (#284)

| Benchmark | GLM-5.3-Flash | Grok-2 (Dec 2024) |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 93.9% | 11.5% |
| LMArena Math | 1500 | 1283 |
| FrontierMath (Tiers 1-3) | 55.8% | — |
| FrontierMath Tier 4 | 17.1% | — |
| ProofBench | 21% | — |
| LiveBench Math | — | 54.9% |
| MATH Level 5 | — | 63.5% |
| FrontierMath (Feb 2025 set) | — | 0.7% |

## Knowledge

- GLM-5.3-Flash: 58.4 (#36)
- Grok-2 (Dec 2024): 29.8 (#233)

| Benchmark | GLM-5.3-Flash | Grok-2 (Dec 2024) |
|---|---|---|
| GPQA Diamond | 90.2% | 53.8% |
| LMArena Expert | 1513 | 1254 |
| Confabulations | — | 20.1% |

## Multimodal

- GLM-5.3-Flash: 42.8 (#27)
- Grok-2 (Dec 2024): —

| Benchmark | GLM-5.3-Flash | Grok-2 (Dec 2024) |
|---|---|---|
| LMArena Vision | 1296 | — |

## Multilingual

- GLM-5.3-Flash: 56.0 (#25)
- Grok-2 (Dec 2024): 43.1 (#188)

| Benchmark | GLM-5.3-Flash | Grok-2 (Dec 2024) |
|---|---|---|
| LMArena Non-English | 1462 | 1282 |
| LMArena Chinese | 1527 | 1289 |
| LMArena French | 1496 | 1318 |
| LMArena German | 1470 | 1287 |
| LMArena Japanese | 1429 | 1244 |
| LMArena Korean | 1446 | 1237 |
| LMArena Russian | 1469 | 1286 |
| LMArena Spanish | 1471 | 1281 |

## Instruction Following

- GLM-5.3-Flash: 77.5 (#20)
- Grok-2 (Dec 2024): 66.9 (#202)

| Benchmark | GLM-5.3-Flash | Grok-2 (Dec 2024) |
|---|---|---|
| LMArena Instruction Following | 1478 | 1270 |
| LiveBench Instruction Following | — | 69.6% |

## Long Context

- GLM-5.3-Flash: 45.4 (#39)
- Grok-2 (Dec 2024): 38.8 (#190)

| Benchmark | GLM-5.3-Flash | Grok-2 (Dec 2024) |
|---|---|---|
| LMArena Longer Query | 1482 | 1276 |

## Writing & Preference

- GLM-5.3-Flash: 65.3 (#50)
- Grok-2 (Dec 2024): 48.6 (#198)

| Benchmark | GLM-5.3-Flash | Grok-2 (Dec 2024) |
|---|---|---|
| LMArena Text | 1471 | 1305 |
| LMArena Creative Writing | 1442 | 1284 |
| LMArena Multi-Turn | 1467 | 1290 |
| Short-Story Creative Writing | — | 63.6% |
| LiveBench Language | — | 45.6% |

## FAQ

### Is GLM-5.3-Flash better than Grok-2 (Dec 2024)?

GLM-5.3-Flash is the stronger model overall, scoring 51.8 to 33.7 on the Noometry Index.

### Is GLM-5.3-Flash or Grok-2 (Dec 2024) better for coding?

GLM-5.3-Flash scores higher on coding benchmarks: 53.1 versus 33.3 in the Noometry coding category.

### How many benchmarks do GLM-5.3-Flash and Grok-2 (Dec 2024) share?

20 benchmarks have published results for both models. GLM-5.3-Flash has 40 scored results on Noometry and Grok-2 (Dec 2024) has 34.