# GLM-5.3 vs Grok 4.6

> Grok 4.6 is the stronger model overall, scoring 56.9 to 54.8 on the Noometry Index.

- Canonical page: https://noometry.com/compare/glm-5-3-vs-grok-4-6
- Last updated: 2026-10-10
- Shared benchmarks: 40

## Summary

- They share 40 benchmarks with published results for both. GLM-5.3 scores higher in 5 categories and Grok 4.6 in 4 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where Grok 4.6 leads 61.4 to 46.1.
- The biggest single-benchmark swing is Chess Puzzles: 21% for GLM-5.3 and 40% for Grok 4.6.
- GLM-5.3 is cheaper at $1.40 / $4.40 per million input/output tokens, against $2 / $6 for Grok 4.6.
- GLM-5.3 accepts more context: 1M tokens versus 500K.
- GLM-5.3 has downloadable open weights; the other is API-only.

## Snapshot

| | GLM-5.3 | Grok 4.6 |
|---|---|---|
| Provider | Z.ai (Zhipu) | xAI |
| Noometry Index | 54.8 | 56.9 |
| Rank | 26 | 21 |
| Context | 1M | 500K |
| Input $/M | $1.40 | $2 |
| Output $/M | $4.40 | $6 |
| Weights | Open | Proprietary |

## Coding

- GLM-5.3: 59.5 (#14)
- Grok 4.6: 58.5 (#16)

| Benchmark | GLM-5.3 | Grok 4.6 |
|---|---|---|
| DeepSWE | 69% | 67.5% |
| FrontierCode | 40.1% | 48% |
| CursorBench | 42.6% | 41.4% |
| LMArena WebDev | 1622 | 1617 |
| FrontierSWE | 30.2% | 25.3% |
| SciCode | 59% | 56.5% |
| WeirdML | 75.4% | 67.3% |
| LMArena Coding | 1496 | 1465 |
| ALE-Bench | 1,317 | 1,508 |

## Agentic & Tool Use

- GLM-5.3: 36.4 (#38)
- Grok 4.6: 39.4 (#27)

| Benchmark | GLM-5.3 | Grok 4.6 |
|---|---|---|
| APEX-Agents | 56.6% | 65.3% |
| Vending-Bench 2 | 8,164 | 9,047 |
| GDP.pdf | — | 17.2% |

## Reasoning

- GLM-5.3: 46.1 (#46)
- Grok 4.6: 61.4 (#20)

| Benchmark | GLM-5.3 | Grok 4.6 |
|---|---|---|
| NYT Connections (extended) | 74.2% | 80% |
| CritPt | 19.1% | 19.7% |
| Chess Puzzles | 21% | 40% |
| LMArena Hard Prompts | 1489 | 1447 |
| Mystery Game Puzzles | 33% | 34% |
| DTBench | 87.7% | 97.3% |
| LMCA | 55.5% | 48.5% |
| Epoch Capabilities Index | 155.61 | 156.44 |
| ARC-AGI-2 | — | 67.1% |
| SimpleBench | — | 75.9% |
| ARC-AGI-1 | — | 87.5% |
| EBR-Bench | — | 30.5% |
| Bench to the Future 3 | 0.15 | — |

## Math

- GLM-5.3: 62.3 (#33)
- Grok 4.6: 67.0 (#24)

| Benchmark | GLM-5.3 | Grok 4.6 |
|---|---|---|
| FrontierMath (Tiers 1-3) | 68.8% | 66% |
| FrontierMath Tier 4 | 29.3% | 31.7% |
| OTIS Mock AIME 2024-2025 | 91.1% | 99.2% |
| ProofBench | 49% | 51% |
| LMArena Math | 1489 | 1423 |

## Knowledge

- GLM-5.3: 58.3 (#37)
- Grok 4.6: 63.3 (#20)

| Benchmark | GLM-5.3 | Grok 4.6 |
|---|---|---|
| GPQA Diamond | 90.9% | 94% |
| SimpleQA Verified | 41% | 49.3% |
| LMArena Expert | 1516 | 1467 |

## Multimodal

- GLM-5.3: —
- Grok 4.6: 43.6 (#23)

| Benchmark | GLM-5.3 | Grok 4.6 |
|---|---|---|
| LMArena Vision | — | 1263 |
| Blueprint-Bench 2 | — | 33.2% |
| Furniture Assembly | — | 40% |
| LMArena Document | — | 1452 |

## Multilingual

- GLM-5.3: 55.7 (#28)
- Grok 4.6: 53.0 (#74)

| Benchmark | GLM-5.3 | Grok 4.6 |
|---|---|---|
| LMArena Non-English | 1457 | 1420 |
| LMArena Chinese | 1528 | 1480 |
| LMArena French | 1499 | 1461 |
| LMArena German | 1499 | 1431 |
| LMArena Japanese | 1453 | 1376 |
| LMArena Korean | 1472 | 1397 |
| LMArena Russian | 1463 | 1422 |
| LMArena Spanish | 1460 | 1404 |

## Instruction Following

- GLM-5.3: 77.5 (#23)
- Grok 4.6: 75.4 (#63)

| Benchmark | GLM-5.3 | Grok 4.6 |
|---|---|---|
| LMArena Instruction Following | 1477 | 1431 |

## Long Context

- GLM-5.3: 45.4 (#41)
- Grok 4.6: 44.5 (#66)

| Benchmark | GLM-5.3 | Grok 4.6 |
|---|---|---|
| LMArena Longer Query | 1482 | 1454 |

## Writing & Preference

- GLM-5.3: 75.7 (#6)
- Grok 4.6: 62.3 (#80)

| Benchmark | GLM-5.3 | Grok 4.6 |
|---|---|---|
| LMArena Text | 1471 | 1428 |
| LMArena Creative Writing | 1457 | 1428 |
| LMArena Multi-Turn | 1472 | 1425 |
| EQ-Bench Creative Writing | 2075 | — |

## FAQ

### Is GLM-5.3 better than Grok 4.6?

Grok 4.6 is the stronger model overall, scoring 56.9 to 54.8 on the Noometry Index.

### Which is cheaper, GLM-5.3 or Grok 4.6?

GLM-5.3 is cheaper. It lists at $1.40 per million input tokens and $4.40 per million output tokens; Grok 4.6 lists at $2 and $6.

### Is GLM-5.3 or Grok 4.6 better for coding?

GLM-5.3 scores higher on coding benchmarks: 59.5 versus 58.5 in the Noometry coding category.

### Which has the bigger context window?

GLM-5.3 does, with 1M tokens against 500K.

### How many benchmarks do GLM-5.3 and Grok 4.6 share?

40 benchmarks have published results for both models. GLM-5.3 has 42 scored results on Noometry and Grok 4.6 has 49.