# GLM-4.7-Flash vs Grok 4.7

> Grok 4.7 is the stronger model overall, scoring 46.6 to 38.4 on the Noometry Index. GLM-4.7-Flash costs 21× less per token, which makes it the better buy when Grok 4.7's lead doesn't matter for your workload.

- Canonical page: https://noometry.com/compare/glm-4-7-flash-vs-grok-4-7
- Last updated: 2026-10-10
- Shared benchmarks: 13

## Summary

- They share 13 benchmarks with published results for both. GLM-4.7-Flash scores higher in 0 categories and Grok 4.7 in 8 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where Grok 4.7 leads 70.1 to 47.7.
- GLM-4.7-Flash is cheaper at $0.06 / $0.40 per million input/output tokens, against $2 / $6 for Grok 4.7.
- Grok 4.7 accepts more context: 500K tokens versus 200K.
- GLM-4.7-Flash has downloadable open weights; the other is API-only.

## Snapshot

| | GLM-4.7-Flash | Grok 4.7 |
|---|---|---|
| Provider | Z.ai (Zhipu) | xAI |
| Noometry Index | 38.4 | 46.6 |
| Rank | 175 | 56 |
| Context | 200K | 500K |
| Input $/M | $0.06 | $2 |
| Output $/M | $0.40 | $6 |
| Weights | Open | Proprietary |

## Coding

- GLM-4.7-Flash: 40.0 (#133)
- Grok 4.7: 55.0 (#23)

| Benchmark | GLM-4.7-Flash | Grok 4.7 |
|---|---|---|
| LMArena Coding | 1383 | 1423 |
| CursorBench | — | 46.3% |
| LMArena WebDev | — | 1636 |
| FrontierSWE | — | 29.5% |
| SciCode | — | 57.4% |

## Reasoning

- GLM-4.7-Flash: 20.2 (#224)
- Grok 4.7: 40.1 (#49)

| Benchmark | GLM-4.7-Flash | Grok 4.7 |
|---|---|---|
| LMArena Hard Prompts | 1356 | 1409 |
| NYT Connections (extended) | — | 76.8% |
| CritPt | — | 17.7% |
| Chess Puzzles | 0% | — |

## Math

- GLM-4.7-Flash: 34.4 (#159)
- Grok 4.7: 41.1 (#73)

| Benchmark | GLM-4.7-Flash | Grok 4.7 |
|---|---|---|
| LMArena Math | 1354 | 1393 |
| OTIS Mock AIME 2024-2025 | 58.3% | — |
| ProofBench | — | 34% |

## Knowledge

- GLM-4.7-Flash: 35.4 (#177)
- Grok 4.7: 38.7 (#130)

| Benchmark | GLM-4.7-Flash | Grok 4.7 |
|---|---|---|
| LMArena Expert | 1357 | 1413 |
| GPQA Diamond | 60.5% | — |
| Vectara Hallucination Rate | 9.3% | — |

## Multimodal

- GLM-4.7-Flash: —
- Grok 4.7: 28.8 (#107)

| Benchmark | GLM-4.7-Flash | Grok 4.7 |
|---|---|---|
| Furniture Assembly | — | 20.8% |

## Multilingual

- GLM-4.7-Flash: 46.8 (#152)
- Grok 4.7: 51.2 (#108)

| Benchmark | GLM-4.7-Flash | Grok 4.7 |
|---|---|---|
| LMArena Non-English | 1331 | 1392 |
| LMArena Chinese | 1403 | 1476 |
| LMArena Russian | 1333 | 1396 |
| LMArena French | 1332 | — |
| LMArena German | 1336 | — |
| LMArena Korean | 1284 | — |
| LMArena Spanish | 1351 | — |

## Instruction Following

- GLM-4.7-Flash: 70.3 (#162)
- Grok 4.7: 74.3 (#98)

| Benchmark | GLM-4.7-Flash | Grok 4.7 |
|---|---|---|
| LMArena Instruction Following | 1327 | 1406 |

## Long Context

- GLM-4.7-Flash: 40.9 (#143)
- Grok 4.7: 43.2 (#97)

| Benchmark | GLM-4.7-Flash | Grok 4.7 |
|---|---|---|
| LMArena Longer Query | 1345 | 1416 |

## Writing & Preference

- GLM-4.7-Flash: 47.7 (#206)
- Grok 4.7: 70.1 (#23)

| Benchmark | GLM-4.7-Flash | Grok 4.7 |
|---|---|---|
| LMArena Text | 1351 | 1397 |
| LMArena Creative Writing | 1297 | 1391 |
| EQ-Bench Creative Writing | 1125 | 2007 |
| LMArena Multi-Turn | 1342 | 1389 |

## FAQ

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

Grok 4.7 is the stronger model overall, scoring 46.6 to 38.4 on the Noometry Index. GLM-4.7-Flash costs 21× less per token, which makes it the better buy when Grok 4.7's lead doesn't matter for your workload.

### Which is cheaper, GLM-4.7-Flash or Grok 4.7?

GLM-4.7-Flash is cheaper. It lists at $0.06 per million input tokens and $0.40 per million output tokens; Grok 4.7 lists at $2 and $6.

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

Grok 4.7 scores higher on coding benchmarks: 55.0 versus 40.0 in the Noometry coding category.

### Which has the bigger context window?

Grok 4.7 does, with 500K tokens against 200K.

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

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