# GLM-4.6 vs Grok 4.3

> Grok 4.3 is the stronger model overall, scoring 43.8 to 41.4 on the Noometry Index. GLM-4.6 costs 1.6× less per token, which makes it the better buy when Grok 4.3's lead doesn't matter for your workload.

- Canonical page: https://noometry.com/compare/glm-4-6-vs-grok-4-3
- Last updated: 2026-10-11
- Shared benchmarks: 21

## Summary

- They share 21 benchmarks with published results for both. GLM-4.6 scores higher in 5 categories and Grok 4.3 in 4 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where Grok 4.3 leads 52.5 to 40.2.
- The biggest single-benchmark swing is SciCode: 38.4% for GLM-4.6 and 47.3% for Grok 4.3.
- GLM-4.6 is cheaper at $0.60 / $2.20 per million input/output tokens, against $1.25 / $2.50 for Grok 4.3.
- Grok 4.3 accepts more context: 1M tokens versus 205K.
- GLM-4.6 has downloadable open weights; the other is API-only.

## Snapshot

| | GLM-4.6 | Grok 4.3 |
|---|---|---|
| Provider | Z.ai (Zhipu) | xAI |
| Noometry Index | 41.4 | 43.8 |
| Rank | 135 | 86 |
| Context | 205K | 1M |
| Input $/M | $0.60 | $1.25 |
| Output $/M | $2.20 | $2.50 |
| Weights | Open | Proprietary |

## Coding

- GLM-4.6: 40.1 (#148)
- Grok 4.3: 41.6 (#121)

| Benchmark | GLM-4.6 | Grok 4.3 |
|---|---|---|
| LMArena WebDev | 1340 | 1357 |
| SciCode | 38.4% | 47.3% |
| LMArena Coding | 1449 | 1415 |
| ALE-Bench | 340.82 | 944.17 |
| SWE-bench Verified (bash only) | 55.4% | — |
| WeirdML | — | 49.9% |

## Agentic & Tool Use

- GLM-4.6: 32.3 (#66)
- Grok 4.3: 27.7 (#99)

| Benchmark | GLM-4.6 | Grok 4.3 |
|---|---|---|
| Terminal-Bench | 24.5% | — |
| Berkeley Function Calling Leaderboard | 72.4% | — |
| GDP.pdf | — | 8% |
| LMArena Search | — | 1165 |
| Vending-Bench 2 | — | 35.26 |

## Reasoning

- GLM-4.6: 23.7 (#172)
- Grok 4.3: 35.9 (#68)

| Benchmark | GLM-4.6 | Grok 4.3 |
|---|---|---|
| CritPt | 1.1% | 8% |
| LMArena Hard Prompts | 1440 | 1396 |
| Kagi LLM Benchmark | 47.4% | — |
| NYT Connections (extended) | — | 55.2% |
| Chess Puzzles | — | 25% |
| DTBench | — | 90.7% |
| LMCA | — | 38.3% |
| Epoch Capabilities Index | — | 149.16 |
| ForecastBench | — | 60.3 |

## Math

- GLM-4.6: 39.1 (#111)
- Grok 4.3: 46.0 (#74)

| Benchmark | GLM-4.6 | Grok 4.3 |
|---|---|---|
| LMArena Math | 1432 | 1388 |
| FrontierMath (Tiers 1-3) | — | 42.8% |
| FrontierMath Tier 4 | — | 14.6% |
| OTIS Mock AIME 2024-2025 | — | 93.3% |
| ProofBench | — | 11% |
| FrontierMath (Feb 2025 set) | 3.8% | — |
| FrontierMath Tier 4 (v1) | 2.1% | — |

## Knowledge

- GLM-4.6: 40.2 (#124)
- Grok 4.3: 52.5 (#62)

| Benchmark | GLM-4.6 | Grok 4.3 |
|---|---|---|
| LMArena Expert | 1431 | 1385 |
| GPQA Diamond | — | 88.8% |
| SimpleQA Verified | — | 33.2% |
| Vectara Hallucination Rate | 9.5% | — |

## Multimodal

- GLM-4.6: —
- Grok 4.3: 31.6 (#104)

| Benchmark | GLM-4.6 | Grok 4.3 |
|---|---|---|
| LMArena Vision | — | 1229 |
| Blueprint-Bench 2 | — | 0% |

## Multilingual

- GLM-4.6: 53.5 (#66)
- Grok 4.3: 50.5 (#120)

| Benchmark | GLM-4.6 | Grok 4.3 |
|---|---|---|
| LMArena Non-English | 1426 | 1385 |
| LMArena Chinese | 1499 | 1422 |
| LMArena French | 1459 | 1412 |
| LMArena German | 1447 | 1395 |
| LMArena Japanese | 1393 | 1379 |
| LMArena Korean | 1400 | 1356 |
| LMArena Russian | 1419 | 1399 |
| LMArena Spanish | 1436 | 1398 |

## Instruction Following

- GLM-4.6: 74.3 (#98)
- Grok 4.3: 72.1 (#140)

| Benchmark | GLM-4.6 | Grok 4.3 |
|---|---|---|
| LMArena Instruction Following | 1410 | 1366 |

## Long Context

- GLM-4.6: 43.4 (#94)
- Grok 4.3: 42.5 (#123)

| Benchmark | GLM-4.6 | Grok 4.3 |
|---|---|---|
| LMArena Longer Query | 1422 | 1393 |

## Writing & Preference

- GLM-4.6: 61.1 (#90)
- Grok 4.3: 58.5 (#118)

| Benchmark | GLM-4.6 | Grok 4.3 |
|---|---|---|
| LMArena Text | 1440 | 1397 |
| LMArena Creative Writing | 1411 | 1380 |
| LMArena Multi-Turn | 1427 | 1406 |
| EQ-Bench Creative Writing | 1411 | — |
| EQ-Bench 4 | — | 1075 |

## FAQ

### Is GLM-4.6 better than Grok 4.3?

Grok 4.3 is the stronger model overall, scoring 43.8 to 41.4 on the Noometry Index. GLM-4.6 costs 1.6× less per token, which makes it the better buy when Grok 4.3's lead doesn't matter for your workload.

### Which is cheaper, GLM-4.6 or Grok 4.3?

GLM-4.6 is cheaper. It lists at $0.60 per million input tokens and $2.20 per million output tokens; Grok 4.3 lists at $1.25 and $2.50.

### Is GLM-4.6 or Grok 4.3 better for coding?

Grok 4.3 scores higher on coding benchmarks: 41.6 versus 40.1 in the Noometry coding category.

### Which has the bigger context window?

Grok 4.3 does, with 1M tokens against 205K.

### How many benchmarks do GLM-4.6 and Grok 4.3 share?

21 benchmarks have published results for both models. GLM-4.6 has 29 scored results on Noometry and Grok 4.3 has 40.