# GLM-4.5-Air vs phi-3-medium 14B

> GLM-4.5-Air is the stronger model overall, scoring 38.7 to 29.1 on the Noometry Index.

- Canonical page: https://noometry.com/compare/glm-4-5-air-vs-phi-3-medium-14b
- Last updated: 2026-10-10
- Shared benchmarks: 0

## Summary

- The widest gap is in knowledge, where GLM-4.5-Air leads 34.6 to 9.1.

## Snapshot

| | GLM-4.5-Air | phi-3-medium 14B |
|---|---|---|
| Provider | Z.ai (Zhipu) | Microsoft |
| Noometry Index | 38.7 | 29.1 |
| Rank | 169 | 306 |
| Context | 131K | — |
| Input $/M | $0.20 | — |
| Output $/M | $1.10 | — |
| Weights | Open | Open |

## Coding

- GLM-4.5-Air: 34.5 (#225)
- phi-3-medium 14B: 36.3 (#198)

| Benchmark | GLM-4.5-Air | phi-3-medium 14B |
|---|---|---|
| GSO | 2.9% | — |
| BigCodeBench Instruct | — | 37.6% |
| LMArena Coding | 1397 | — |
| BigCodeBench Complete | — | 48.7% |

## Reasoning

- GLM-4.5-Air: 23.3 (#166)
- phi-3-medium 14B: —

| Benchmark | GLM-4.5-Air | phi-3-medium 14B |
|---|---|---|
| Kagi LLM Benchmark | 43% | — |
| LMArena Hard Prompts | 1379 | — |
| Adversarial NLI | — | 55.8% |
| BIG-Bench Hard | — | 81.4% |
| Epoch Capabilities Index | — | 121.18 |
| ForecastBench | 59.2 | — |
| HellaSwag | — | 82.4% |
| WinoGrande | — | 81.5% |

## Math

- GLM-4.5-Air: 33.8 (#166)
- phi-3-medium 14B: 25.2 (#249)

| Benchmark | GLM-4.5-Air | phi-3-medium 14B |
|---|---|---|
| Omni-MATH | 39.1% | — |
| LMArena Math | 1396 | — |
| MATH Level 5 | — | 17.6% |

## Knowledge

- GLM-4.5-Air: 34.6 (#184)
- phi-3-medium 14B: 9.1 (#301)

| Benchmark | GLM-4.5-Air | phi-3-medium 14B |
|---|---|---|
| GPQA Diamond | — | 27.6% |
| Humanity's Last Exam | 8.1% | — |
| MMLU-Pro | 76.2% | — |
| Vectara Hallucination Rate | 9.3% | — |
| GPQA (HELM) | 59.4% | — |
| LMArena Expert | 1370 | — |
| ARC (AI2) Challenge | — | 91.6% |
| MMLU | — | 78% |
| OpenBookQA | — | 87.4% |
| TriviaQA | — | 73.9% |

## Multilingual

- GLM-4.5-Air: 49.4 (#130)
- phi-3-medium 14B: —

| Benchmark | GLM-4.5-Air | phi-3-medium 14B |
|---|---|---|
| LMArena Non-English | 1366 | — |
| LMArena Chinese | 1427 | — |
| LMArena French | 1399 | — |
| LMArena German | 1376 | — |
| LMArena Japanese | 1348 | — |
| LMArena Korean | 1306 | — |
| LMArena Russian | 1373 | — |
| LMArena Spanish | 1385 | — |

## Instruction Following

- GLM-4.5-Air: 69.8 (#165)
- phi-3-medium 14B: —

| Benchmark | GLM-4.5-Air | phi-3-medium 14B |
|---|---|---|
| IFEval | 81.2% | — |
| LMArena Instruction Following | 1353 | — |

## Long Context

- GLM-4.5-Air: 41.6 (#130)
- phi-3-medium 14B: —

| Benchmark | GLM-4.5-Air | phi-3-medium 14B |
|---|---|---|
| LMArena Longer Query | 1367 | — |

## Writing & Preference

- GLM-4.5-Air: 56.1 (#134)
- phi-3-medium 14B: —

| Benchmark | GLM-4.5-Air | phi-3-medium 14B |
|---|---|---|
| LMArena Text | 1384 | — |
| LMArena Creative Writing | 1343 | — |
| WildBench | 78.9% | — |
| LMArena Multi-Turn | 1371 | — |

## FAQ

### Is GLM-4.5-Air better than phi-3-medium 14B?

GLM-4.5-Air is the stronger model overall, scoring 38.7 to 29.1 on the Noometry Index.

### Is GLM-4.5-Air or phi-3-medium 14B better for coding?

phi-3-medium 14B scores higher on coding benchmarks: 36.3 versus 34.5 in the Noometry coding category.

### How many benchmarks do GLM-4.5-Air and phi-3-medium 14B share?

0 benchmarks have published results for both models. GLM-4.5-Air has 27 scored results on Noometry and phi-3-medium 14B has 13.