# GLM-5.3-Flash vs Grok 4

> GLM-5.3-Flash is the stronger model overall, scoring 51.8 to 48.1 on the Noometry Index.

- Canonical page: https://noometry.com/compare/glm-5-3-flash-vs-grok-4
- Last updated: 2026-10-10
- Shared benchmarks: 24

## Summary

- They share 24 benchmarks with published results for both. GLM-5.3-Flash scores higher in 8 categories and Grok 4 in 2 categories; 10 gaps are clear of the uncertainty.
- The widest gap is in long context, where Grok 4 leads 63.1 to 45.4.
- The biggest single-benchmark swing is ARC-AGI-2: 65.8% for GLM-5.3-Flash and 16% for Grok 4.
- GLM-5.3-Flash has downloadable open weights; the other is API-only.

## Snapshot

| | GLM-5.3-Flash | Grok 4 |
|---|---|---|
| Provider | Z.ai (Zhipu) | xAI |
| Noometry Index | 51.8 | 48.1 |
| Rank | 41 | 56 |
| Context | 1M | — |
| Input $/M | $0.15 | — |
| Output $/M | $0.50 | — |
| Weights | Open | Proprietary |

## Coding

- GLM-5.3-Flash: 53.1 (#31)
- Grok 4: 50.3 (#46)

| Benchmark | GLM-5.3-Flash | Grok 4 |
|---|---|---|
| LMArena Coding | 1508 | 1408 |
| DeepSWE | 63.4% | — |
| FrontierCode | 31.8% | — |
| Aider Polyglot | — | 79.6% |
| CursorBench | 36.8% | — |
| LMArena WebDev | 1609 | — |
| FrontierSWE | 18.1% | — |
| SciCode | 51.6% | — |
| WeirdML | — | 45.7% |
| ALE-Bench | 303.55 | — |

## Agentic & Tool Use

- GLM-5.3-Flash: 34.2 (#47)
- Grok 4: 32.3 (#68)

| Benchmark | GLM-5.3-Flash | Grok 4 |
|---|---|---|
| Terminal-Bench | — | 27.2% |
| APEX-Agents | 52.8% | — |
| Berkeley Function Calling Leaderboard | — | 63% |
| GDPval | — | 21.1% |
| Cybench | — | 43% |
| DeepResearch Bench | — | 47.3% |
| BALROG | — | 43.6% |
| GDP.pdf | 14% | — |
| LMArena Search | — | 1142 |
| METR Time Horizons | — | 66.6% |

## Reasoning

- GLM-5.3-Flash: 48.0 (#42)
- Grok 4: 36.7 (#65)

| Benchmark | GLM-5.3-Flash | Grok 4 |
|---|---|---|
| ARC-AGI-2 | 65.8% | 16% |
| ARC-AGI-1 | 91% | 66.7% |
| Chess Puzzles | 14% | 28% |
| LMArena Hard Prompts | 1491 | 1409 |
| Epoch Capabilities Index | 151.88 | 146.44 |
| SimpleBench | — | 60.5% |
| Kagi LLM Benchmark | — | 73.6% |
| CritPt | 15.4% | — |
| Mystery Game Puzzles | 8% | — |
| Surface Evolver Bench | 52.5% | — |
| Bench to the Future 3 | 0.15 | — |
| ForecastBench | — | 60.9 |

## Math

- GLM-5.3-Flash: 53.3 (#47)
- Grok 4: 48.4 (#64)

| Benchmark | GLM-5.3-Flash | Grok 4 |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 93.9% | 84% |
| LMArena Math | 1500 | 1422 |
| FrontierMath (Tiers 1-3) | 55.8% | — |
| FrontierMath Tier 4 | 17.1% | — |
| ProofBench | 21% | — |
| Omni-MATH | — | 60.3% |
| FrontierMath (Feb 2025 set) | — | 19.7% |
| FrontierMath Tier 4 (v1) | — | 2.1% |

## Knowledge

- GLM-5.3-Flash: 58.4 (#36)
- Grok 4: 53.8 (#55)

| Benchmark | GLM-5.3-Flash | Grok 4 |
|---|---|---|
| GPQA Diamond | 90.2% | 87% |
| LMArena Expert | 1513 | 1415 |
| MMLU-Pro | — | 85.1% |
| Confabulations | — | 12.4% |
| GPQA (HELM) | — | 72.7% |

## Multimodal

- GLM-5.3-Flash: 42.8 (#27)
- Grok 4: 33.7 (#94)

| Benchmark | GLM-5.3-Flash | Grok 4 |
|---|---|---|
| LMArena Vision | 1296 | 1210 |
| GeoBench | — | 45% |

## Multilingual

- GLM-5.3-Flash: 56.0 (#25)
- Grok 4: 51.8 (#103)

| Benchmark | GLM-5.3-Flash | Grok 4 |
|---|---|---|
| LMArena Non-English | 1462 | 1403 |
| LMArena Chinese | 1527 | 1427 |
| LMArena French | 1496 | 1418 |
| LMArena German | 1470 | 1429 |
| LMArena Japanese | 1429 | 1394 |
| LMArena Korean | 1446 | 1377 |
| LMArena Russian | 1469 | 1410 |
| LMArena Spanish | 1471 | 1420 |

## Instruction Following

- GLM-5.3-Flash: 77.5 (#20)
- Grok 4: 79.2 (#5)

| Benchmark | GLM-5.3-Flash | Grok 4 |
|---|---|---|
| LMArena Instruction Following | 1478 | 1387 |
| IFEval | — | 94.9% |

## Long Context

- GLM-5.3-Flash: 45.4 (#39)
- Grok 4: 63.1 (#4)

| Benchmark | GLM-5.3-Flash | Grok 4 |
|---|---|---|
| LMArena Longer Query | 1482 | 1409 |
| Fiction.LiveBench | — | 94.4% |

## Writing & Preference

- GLM-5.3-Flash: 65.3 (#50)
- Grok 4: 58.5 (#116)

| Benchmark | GLM-5.3-Flash | Grok 4 |
|---|---|---|
| LMArena Text | 1471 | 1411 |
| LMArena Creative Writing | 1442 | 1397 |
| LMArena Multi-Turn | 1467 | 1416 |
| Short-Story Creative Writing | — | 76.9% |
| WildBench | — | 79.7% |

## FAQ

### Is GLM-5.3-Flash better than Grok 4?

GLM-5.3-Flash is the stronger model overall, scoring 51.8 to 48.1 on the Noometry Index.

### Is GLM-5.3-Flash or Grok 4 better for coding?

GLM-5.3-Flash scores higher on coding benchmarks: 53.1 versus 50.3 in the Noometry coding category.

### How many benchmarks do GLM-5.3-Flash and Grok 4 share?

24 benchmarks have published results for both models. GLM-5.3-Flash has 40 scored results on Noometry and Grok 4 has 48.