# GLM-4.7-Flash vs Grok 4.3

> Grok 4.3 is the stronger model overall, scoring 43.8 to 38.8 on the Noometry Index. GLM-4.7-Flash costs 11× 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-4-7-flash-vs-grok-4-3
- Last updated: 2026-10-10
- Shared benchmarks: 19

## Summary

- They share 19 benchmarks with published results for both. GLM-4.7-Flash scores higher in 0 categories and Grok 4.3 in 8 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where Grok 4.3 leads 52.5 to 35.5.
- The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 58.3% for GLM-4.7-Flash and 93.3% for Grok 4.3.
- GLM-4.7-Flash is cheaper at $0.06 / $0.40 per million input/output tokens, against $1.25 / $2.50 for Grok 4.3.
- Grok 4.3 accepts more context: 1M tokens versus 200K.
- GLM-4.7-Flash has downloadable open weights; the other is API-only.

## Snapshot

| | GLM-4.7-Flash | Grok 4.3 |
|---|---|---|
| Provider | Z.ai (Zhipu) | xAI |
| Noometry Index | 38.8 | 43.8 |
| Rank | 180 | 86 |
| Context | 200K | 1M |
| Input $/M | $0.06 | $1.25 |
| Output $/M | $0.40 | $2.50 |
| Weights | Open | Proprietary |

## Coding

- GLM-4.7-Flash: 40.6 (#135)
- Grok 4.3: 41.6 (#121)

| Benchmark | GLM-4.7-Flash | Grok 4.3 |
|---|---|---|
| LMArena Coding | 1383 | 1415 |
| LMArena WebDev | — | 1357 |
| SciCode | — | 47.3% |
| WeirdML | — | 49.9% |
| ALE-Bench | — | 944.17 |

## Agentic & Tool Use

- GLM-4.7-Flash: —
- Grok 4.3: 27.7 (#99)

| Benchmark | GLM-4.7-Flash | Grok 4.3 |
|---|---|---|
| GDP.pdf | — | 8% |
| LMArena Search | — | 1165 |
| Vending-Bench 2 | — | 35.26 |

## Reasoning

- GLM-4.7-Flash: 20.9 (#229)
- Grok 4.3: 35.9 (#68)

| Benchmark | GLM-4.7-Flash | Grok 4.3 |
|---|---|---|
| Chess Puzzles | 0% | 25% |
| LMArena Hard Prompts | 1356 | 1396 |
| NYT Connections (extended) | — | 55.2% |
| CritPt | — | 8% |
| DTBench | — | 90.7% |
| LMCA | — | 38.3% |
| Epoch Capabilities Index | — | 149.16 |
| ForecastBench | — | 60.3 |

## Math

- GLM-4.7-Flash: 36.1 (#173)
- Grok 4.3: 46.0 (#74)

| Benchmark | GLM-4.7-Flash | Grok 4.3 |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 58.3% | 93.3% |
| LMArena Math | 1355 | 1388 |
| FrontierMath (Tiers 1-3) | — | 42.8% |
| FrontierMath Tier 4 | — | 14.6% |
| ProofBench | — | 11% |

## Knowledge

- GLM-4.7-Flash: 35.5 (#184)
- Grok 4.3: 52.5 (#62)

| Benchmark | GLM-4.7-Flash | Grok 4.3 |
|---|---|---|
| GPQA Diamond | 60.5% | 88.8% |
| LMArena Expert | 1357 | 1385 |
| SimpleQA Verified | — | 33.2% |
| Vectara Hallucination Rate | 9.3% | — |

## Multimodal

- GLM-4.7-Flash: —
- Grok 4.3: 31.6 (#104)

| Benchmark | GLM-4.7-Flash | Grok 4.3 |
|---|---|---|
| LMArena Vision | — | 1229 |
| Blueprint-Bench 2 | — | 0% |

## Multilingual

- GLM-4.7-Flash: 46.5 (#158)
- Grok 4.3: 50.5 (#120)

| Benchmark | GLM-4.7-Flash | Grok 4.3 |
|---|---|---|
| LMArena Non-English | 1330 | 1385 |
| LMArena Chinese | 1403 | 1422 |
| LMArena French | 1332 | 1412 |
| LMArena German | 1337 | 1395 |
| LMArena Korean | 1283 | 1356 |
| LMArena Russian | 1332 | 1399 |
| LMArena Spanish | 1350 | 1398 |
| LMArena Japanese | — | 1379 |

## Instruction Following

- GLM-4.7-Flash: 70.1 (#167)
- Grok 4.3: 72.1 (#140)

| Benchmark | GLM-4.7-Flash | Grok 4.3 |
|---|---|---|
| LMArena Instruction Following | 1327 | 1366 |

## Long Context

- GLM-4.7-Flash: 40.9 (#148)
- Grok 4.3: 42.5 (#123)

| Benchmark | GLM-4.7-Flash | Grok 4.3 |
|---|---|---|
| LMArena Longer Query | 1345 | 1393 |

## Writing & Preference

- GLM-4.7-Flash: 47.4 (#210)
- Grok 4.3: 58.5 (#118)

| Benchmark | GLM-4.7-Flash | Grok 4.3 |
|---|---|---|
| LMArena Text | 1351 | 1397 |
| LMArena Creative Writing | 1297 | 1380 |
| LMArena Multi-Turn | 1342 | 1406 |
| EQ-Bench Creative Writing | 1125 | — |
| EQ-Bench 4 | — | 1075 |

## FAQ

### Is GLM-4.7-Flash better than Grok 4.3?

Grok 4.3 is the stronger model overall, scoring 43.8 to 38.8 on the Noometry Index. GLM-4.7-Flash costs 11× 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-4.7-Flash or Grok 4.3?

GLM-4.7-Flash is cheaper. It lists at $0.06 per million input tokens and $0.40 per million output tokens; Grok 4.3 lists at $1.25 and $2.50.

### Is GLM-4.7-Flash or Grok 4.3 better for coding?

Grok 4.3 scores higher on coding benchmarks: 41.6 versus 40.6 in the Noometry coding category.

### Which has the bigger context window?

Grok 4.3 does, with 1M tokens against 200K.

### How many benchmarks do GLM-4.7-Flash and Grok 4.3 share?

19 benchmarks have published results for both models. GLM-4.7-Flash has 21 scored results on Noometry and Grok 4.3 has 40.