# GLM-4.7-Flash vs Hy3

> Hy3 is the stronger model overall, scoring 44.2 to 38.8 on the Noometry Index. GLM-4.7-Flash costs 1.6× less per token, which makes it the better buy when Hy3's lead doesn't matter for your workload.

- Canonical page: https://noometry.com/compare/glm-4-7-flash-vs-hy3
- Last updated: 2026-10-11
- Shared benchmarks: 16

## Summary

- They share 16 benchmarks with published results for both. GLM-4.7-Flash scores higher in 0 categories and Hy3 in 8 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where Hy3 leads 62.2 to 47.4.
- GLM-4.7-Flash is cheaper at $0.06 / $0.40 per million input/output tokens, against $0.13 / $0.53 for Hy3.
- Hy3 accepts more context: 262K tokens versus 200K.

## Snapshot

| | GLM-4.7-Flash | Hy3 |
|---|---|---|
| Provider | Z.ai (Zhipu) | Tencent |
| Noometry Index | 38.8 | 44.2 |
| Rank | 180 | 79 |
| Context | 200K | 262K |
| Input $/M | $0.06 | $0.13 |
| Output $/M | $0.40 | $0.53 |
| Weights | Open | Open |

## Coding

- GLM-4.7-Flash: 40.6 (#135)
- Hy3: 46.8 (#63)

| Benchmark | GLM-4.7-Flash | Hy3 |
|---|---|---|
| LMArena Coding | 1383 | 1464 |
| LMArena WebDev | — | 1508 |

## Reasoning

- GLM-4.7-Flash: 20.9 (#229)
- Hy3: 26.1 (#136)

| Benchmark | GLM-4.7-Flash | Hy3 |
|---|---|---|
| LMArena Hard Prompts | 1356 | 1447 |
| NYT Connections (extended) | — | 41.2% |
| Chess Puzzles | 0% | — |

## Math

- GLM-4.7-Flash: 36.1 (#173)
- Hy3: 40.1 (#93)

| Benchmark | GLM-4.7-Flash | Hy3 |
|---|---|---|
| LMArena Math | 1355 | 1475 |
| OTIS Mock AIME 2024-2025 | 58.3% | — |

## Knowledge

- GLM-4.7-Flash: 35.5 (#184)
- Hy3: 40.8 (#114)

| Benchmark | GLM-4.7-Flash | Hy3 |
|---|---|---|
| LMArena Expert | 1357 | 1460 |
| GPQA Diamond | 60.5% | — |
| Vectara Hallucination Rate | 9.3% | — |

## Multilingual

- GLM-4.7-Flash: 46.5 (#158)
- Hy3: 53.5 (#65)

| Benchmark | GLM-4.7-Flash | Hy3 |
|---|---|---|
| LMArena Non-English | 1330 | 1426 |
| LMArena Chinese | 1403 | 1493 |
| LMArena French | 1332 | 1461 |
| LMArena German | 1337 | 1439 |
| LMArena Korean | 1283 | 1395 |
| LMArena Russian | 1332 | 1432 |
| LMArena Spanish | 1350 | 1456 |
| LMArena Japanese | — | 1392 |

## Instruction Following

- GLM-4.7-Flash: 70.1 (#167)
- Hy3: 75.1 (#70)

| Benchmark | GLM-4.7-Flash | Hy3 |
|---|---|---|
| LMArena Instruction Following | 1327 | 1426 |

## Long Context

- GLM-4.7-Flash: 40.9 (#148)
- Hy3: 44.1 (#75)

| Benchmark | GLM-4.7-Flash | Hy3 |
|---|---|---|
| LMArena Longer Query | 1345 | 1442 |

## Writing & Preference

- GLM-4.7-Flash: 47.4 (#210)
- Hy3: 62.2 (#81)

| Benchmark | GLM-4.7-Flash | Hy3 |
|---|---|---|
| LMArena Text | 1351 | 1439 |
| LMArena Creative Writing | 1297 | 1402 |
| LMArena Multi-Turn | 1342 | 1436 |
| EQ-Bench Creative Writing | 1125 | — |

## FAQ

### Is GLM-4.7-Flash better than Hy3?

Hy3 is the stronger model overall, scoring 44.2 to 38.8 on the Noometry Index. GLM-4.7-Flash costs 1.6× less per token, which makes it the better buy when Hy3's lead doesn't matter for your workload.

### Which is cheaper, GLM-4.7-Flash or Hy3?

GLM-4.7-Flash is cheaper. It lists at $0.06 per million input tokens and $0.40 per million output tokens; Hy3 lists at $0.13 and $0.53.

### Is GLM-4.7-Flash or Hy3 better for coding?

Hy3 scores higher on coding benchmarks: 46.8 versus 40.6 in the Noometry coding category.

### Which has the bigger context window?

Hy3 does, with 262K tokens against 200K.

### How many benchmarks do GLM-4.7-Flash and Hy3 share?

16 benchmarks have published results for both models. GLM-4.7-Flash has 21 scored results on Noometry and Hy3 has 19.