# GLM-5V-Turbo vs phi-3-medium 14B

> GLM-5V-Turbo is the stronger model overall, scoring 43.1 to 29.1 on the Noometry Index.

- Canonical page: https://noometry.com/compare/glm-5v-turbo-vs-phi-3-medium-14b
- Last updated: 2026-10-10
- Shared benchmarks: 0

## Summary

- The widest gap is in knowledge, where GLM-5V-Turbo leads 39.9 to 9.1.
- phi-3-medium 14B has downloadable open weights; the other is API-only.

## Snapshot

| | GLM-5V-Turbo | phi-3-medium 14B |
|---|---|---|
| Provider | Z.ai (Zhipu) | Microsoft |
| Noometry Index | 43.1 | 29.1 |
| Rank | 86 | 306 |
| Context | 200K | — |
| Input $/M | $1.20 | — |
| Output $/M | $4 | — |
| Weights | Proprietary | Open |

## Coding

- GLM-5V-Turbo: 41.8 (#105)
- phi-3-medium 14B: 36.3 (#198)

| Benchmark | GLM-5V-Turbo | phi-3-medium 14B |
|---|---|---|
| LMArena WebDev | 1400 | — |
| BigCodeBench Instruct | — | 37.6% |
| LMArena Coding | 1467 | — |
| BigCodeBench Complete | — | 48.7% |

## Reasoning

- GLM-5V-Turbo: 28.5 (#87)
- phi-3-medium 14B: —

| Benchmark | GLM-5V-Turbo | phi-3-medium 14B |
|---|---|---|
| LMArena Hard Prompts | 1443 | — |
| Adversarial NLI | — | 55.8% |
| BIG-Bench Hard | — | 81.4% |
| Epoch Capabilities Index | — | 121.18 |
| HellaSwag | — | 82.4% |
| WinoGrande | — | 81.5% |

## Math

- GLM-5V-Turbo: 36.6 (#109)
- phi-3-medium 14B: 25.2 (#249)

| Benchmark | GLM-5V-Turbo | phi-3-medium 14B |
|---|---|---|
| LMArena Math | 1440 | — |
| MATH Level 5 | — | 17.6% |

## Knowledge

- GLM-5V-Turbo: 39.9 (#113)
- phi-3-medium 14B: 9.1 (#301)

| Benchmark | GLM-5V-Turbo | phi-3-medium 14B |
|---|---|---|
| GPQA Diamond | — | 27.6% |
| LMArena Expert | 1451 | — |
| ARC (AI2) Challenge | — | 91.6% |
| MMLU | — | 78% |
| OpenBookQA | — | 87.4% |
| TriviaQA | — | 73.9% |

## Multimodal

- GLM-5V-Turbo: 40.1 (#41)
- phi-3-medium 14B: —

| Benchmark | GLM-5V-Turbo | phi-3-medium 14B |
|---|---|---|
| LMArena Vision | 1264 | — |
| LMArena Document | 1416 | — |

## Multilingual

- GLM-5V-Turbo: 53.2 (#69)
- phi-3-medium 14B: —

| Benchmark | GLM-5V-Turbo | phi-3-medium 14B |
|---|---|---|
| LMArena Non-English | 1420 | — |
| LMArena Chinese | 1488 | — |
| LMArena French | 1443 | — |
| LMArena German | 1422 | — |
| LMArena Korean | 1399 | — |
| LMArena Russian | 1432 | — |
| LMArena Spanish | 1446 | — |

## Instruction Following

- GLM-5V-Turbo: 75.1 (#75)
- phi-3-medium 14B: —

| Benchmark | GLM-5V-Turbo | phi-3-medium 14B |
|---|---|---|
| LMArena Instruction Following | 1422 | — |

## Long Context

- GLM-5V-Turbo: 44.0 (#76)
- phi-3-medium 14B: —

| Benchmark | GLM-5V-Turbo | phi-3-medium 14B |
|---|---|---|
| LMArena Longer Query | 1439 | — |

## Writing & Preference

- GLM-5V-Turbo: 62.6 (#69)
- phi-3-medium 14B: —

| Benchmark | GLM-5V-Turbo | phi-3-medium 14B |
|---|---|---|
| LMArena Text | 1437 | — |
| LMArena Creative Writing | 1414 | — |
| LMArena Multi-Turn | 1432 | — |

## FAQ

### Is GLM-5V-Turbo better than phi-3-medium 14B?

GLM-5V-Turbo is the stronger model overall, scoring 43.1 to 29.1 on the Noometry Index.

### Is GLM-5V-Turbo or phi-3-medium 14B better for coding?

GLM-5V-Turbo scores higher on coding benchmarks: 41.8 versus 36.3 in the Noometry coding category.

### How many benchmarks do GLM-5V-Turbo and phi-3-medium 14B share?

0 benchmarks have published results for both models. GLM-5V-Turbo has 19 scored results on Noometry and phi-3-medium 14B has 13.