# GLM-4.7-Flash vs Yi-34B

> GLM-4.7-Flash is the stronger model overall, scoring 38.8 to 27.8 on the Noometry Index.

- Canonical page: https://noometry.com/compare/glm-4-7-flash-vs-yi-34b
- Last updated: 2026-10-11
- Shared benchmarks: 17

## Summary

- They share 17 benchmarks with published results for both. GLM-4.7-Flash scores higher in 7 categories and Yi-34B in 1 category; 7 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where GLM-4.7-Flash leads 35.5 to 7.5.
- The biggest single-benchmark swing is GPQA Diamond: 60.5% for GLM-4.7-Flash and 14.7% for Yi-34B.

## Snapshot

| | GLM-4.7-Flash | Yi-34B |
|---|---|---|
| Provider | Z.ai (Zhipu) | 01.AI |
| Noometry Index | 38.8 | 27.8 |
| Rank | 180 | 329 |
| Context | 200K | — |
| Input $/M | $0.06 | — |
| Output $/M | $0.40 | — |
| Weights | Open | Open |

## Coding

- GLM-4.7-Flash: 40.6 (#135)
- Yi-34B: 32.3 (#274)

| Benchmark | GLM-4.7-Flash | Yi-34B |
|---|---|---|
| LMArena Coding | 1383 | 1112 |

## Reasoning

- GLM-4.7-Flash: 20.9 (#229)
- Yi-34B: 21.2 (#226)

| Benchmark | GLM-4.7-Flash | Yi-34B |
|---|---|---|
| LMArena Hard Prompts | 1356 | 1104 |
| Chess Puzzles | 0% | — |
| BIG-Bench Hard | — | 71.7% |
| Epoch Capabilities Index | — | 117.39 |

## Math

- GLM-4.7-Flash: 36.1 (#173)
- Yi-34B: 21.6 (#282)

| Benchmark | GLM-4.7-Flash | Yi-34B |
|---|---|---|
| LMArena Math | 1355 | 1114 |
| OTIS Mock AIME 2024-2025 | 58.3% | — |
| MATH Level 5 | — | 5.1% |
| GSM8K | — | 76% |

## Knowledge

- GLM-4.7-Flash: 35.5 (#184)
- Yi-34B: 7.5 (#309)

| Benchmark | GLM-4.7-Flash | Yi-34B |
|---|---|---|
| GPQA Diamond | 60.5% | 14.7% |
| LMArena Expert | 1357 | 1061 |
| Vectara Hallucination Rate | 9.3% | — |
| MMLU | — | 76.3% |

## Multilingual

- GLM-4.7-Flash: 46.5 (#158)
- Yi-34B: 29.7 (#264)

| Benchmark | GLM-4.7-Flash | Yi-34B |
|---|---|---|
| LMArena Non-English | 1330 | 1079 |
| LMArena Chinese | 1403 | 1176 |
| LMArena French | 1332 | 1081 |
| LMArena German | 1337 | 1042 |
| LMArena Korean | 1283 | 959 |
| LMArena Russian | 1332 | 1050 |
| LMArena Spanish | 1350 | 1070 |
| LMArena Japanese | — | 993 |

## Instruction Following

- GLM-4.7-Flash: 70.1 (#167)
- Yi-34B: 56.2 (#274)

| Benchmark | GLM-4.7-Flash | Yi-34B |
|---|---|---|
| LMArena Instruction Following | 1327 | 1091 |

## Long Context

- GLM-4.7-Flash: 40.9 (#148)
- Yi-34B: 33.2 (#264)

| Benchmark | GLM-4.7-Flash | Yi-34B |
|---|---|---|
| LMArena Longer Query | 1345 | 1094 |

## Writing & Preference

- GLM-4.7-Flash: 47.4 (#210)
- Yi-34B: 34.1 (#273)

| Benchmark | GLM-4.7-Flash | Yi-34B |
|---|---|---|
| LMArena Text | 1351 | 1129 |
| LMArena Creative Writing | 1297 | 1108 |
| LMArena Multi-Turn | 1342 | 1113 |
| EQ-Bench Creative Writing | 1125 | — |

## FAQ

### Is GLM-4.7-Flash better than Yi-34B?

GLM-4.7-Flash is the stronger model overall, scoring 38.8 to 27.8 on the Noometry Index.

### Is GLM-4.7-Flash or Yi-34B better for coding?

GLM-4.7-Flash scores higher on coding benchmarks: 40.6 versus 32.3 in the Noometry coding category.

### How many benchmarks do GLM-4.7-Flash and Yi-34B share?

17 benchmarks have published results for both models. GLM-4.7-Flash has 21 scored results on Noometry and Yi-34B has 23.