# GLM-4.5-Air vs Phi-4

> GLM-4.5-Air is the stronger model overall, scoring 38.7 to 30.9 on the Noometry Index. Phi-4 costs 4.9× less per token, which makes it the better buy when GLM-4.5-Air's lead doesn't matter for your workload.

- Canonical page: https://noometry.com/compare/glm-4-5-air-vs-phi-4
- Last updated: 2026-10-10
- Shared benchmarks: 18

## Summary

- They share 18 benchmarks with published results for both. GLM-4.5-Air scores higher in 8 categories and Phi-4 in 0 categories; 7 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where GLM-4.5-Air leads 56.1 to 40.7.
- The biggest single-benchmark swing is Vectara Hallucination Rate: 9.3% for GLM-4.5-Air and 3.7% for Phi-4.
- Phi-4 is cheaper at $0.07 / $0.14 per million input/output tokens, against $0.20 / $1.10 for GLM-4.5-Air.
- GLM-4.5-Air accepts more context: 131K tokens versus 128K.

## Snapshot

| | GLM-4.5-Air | Phi-4 |
|---|---|---|
| Provider | Z.ai (Zhipu) | Microsoft |
| Noometry Index | 38.7 | 30.9 |
| Rank | 169 | 269 |
| Context | 131K | 128K |
| Input $/M | $0.20 | $0.07 |
| Output $/M | $1.10 | $0.14 |
| Weights | Open | Open |

## Coding

- GLM-4.5-Air: 34.5 (#225)
- Phi-4: 33.8 (#237)

| Benchmark | GLM-4.5-Air | Phi-4 |
|---|---|---|
| LMArena Coding | 1397 | 1231 |
| GSO | 2.9% | — |
| BigCodeBench Instruct | — | 45.5% |
| LiveBench Coding | — | 30.7% |
| BigCodeBench Complete | — | 55.4% |

## Agentic & Tool Use

- GLM-4.5-Air: —
- Phi-4: 22.6 (#120)

| Benchmark | GLM-4.5-Air | Phi-4 |
|---|---|---|
| Berkeley Function Calling Leaderboard | — | 28.8% |
| BALROG | — | 11.6% |

## Reasoning

- GLM-4.5-Air: 23.3 (#166)
- Phi-4: 17.0 (#287)

| Benchmark | GLM-4.5-Air | Phi-4 |
|---|---|---|
| LMArena Hard Prompts | 1379 | 1220 |
| Kagi LLM Benchmark | 43% | — |
| Chess Puzzles | — | 1% |
| LiveBench Reasoning | — | 47.8% |
| LiveBench Data Analysis | — | 45.2% |
| Epoch Capabilities Index | — | 130.43 |
| ForecastBench | 59.2 | — |
| LiveBench | — | 41.6% |

## Math

- GLM-4.5-Air: 33.8 (#166)
- Phi-4: 19.6 (#279)

| Benchmark | GLM-4.5-Air | Phi-4 |
|---|---|---|
| LMArena Math | 1396 | 1246 |
| OTIS Mock AIME 2024-2025 | — | 13.8% |
| Omni-MATH | 39.1% | — |
| LiveBench Math | — | 42% |
| MATH Level 5 | — | 64.9% |

## Knowledge

- GLM-4.5-Air: 34.6 (#184)
- Phi-4: 32.5 (#204)

| Benchmark | GLM-4.5-Air | Phi-4 |
|---|---|---|
| Vectara Hallucination Rate | 9.3% | 3.7% |
| LMArena Expert | 1370 | 1203 |
| GPQA Diamond | — | 56.1% |
| Humanity's Last Exam | 8.1% | — |
| MMLU-Pro | 76.2% | — |
| Confabulations | — | 29.4% |
| GPQA (HELM) | 59.4% | — |
| MMLU | — | 84.8% |

## Multilingual

- GLM-4.5-Air: 49.4 (#130)
- Phi-4: 37.4 (#232)

| Benchmark | GLM-4.5-Air | Phi-4 |
|---|---|---|
| LMArena Non-English | 1366 | 1197 |
| LMArena Chinese | 1427 | 1211 |
| LMArena French | 1399 | 1223 |
| LMArena German | 1376 | 1222 |
| LMArena Japanese | 1348 | 1158 |
| LMArena Korean | 1306 | 1151 |
| LMArena Russian | 1373 | 1209 |
| LMArena Spanish | 1385 | 1234 |

## Instruction Following

- GLM-4.5-Air: 69.8 (#165)
- Phi-4: 60.6 (#246)

| Benchmark | GLM-4.5-Air | Phi-4 |
|---|---|---|
| LMArena Instruction Following | 1353 | 1201 |
| LiveBench Instruction Following | — | 58.4% |
| IFEval | 81.2% | — |

## Long Context

- GLM-4.5-Air: 41.6 (#130)
- Phi-4: 36.9 (#221)

| Benchmark | GLM-4.5-Air | Phi-4 |
|---|---|---|
| LMArena Longer Query | 1367 | 1217 |

## Writing & Preference

- GLM-4.5-Air: 56.1 (#134)
- Phi-4: 40.7 (#239)

| Benchmark | GLM-4.5-Air | Phi-4 |
|---|---|---|
| LMArena Text | 1384 | 1217 |
| LMArena Creative Writing | 1343 | 1182 |
| LMArena Multi-Turn | 1371 | 1206 |
| Short-Story Creative Writing | — | 62.6% |
| WildBench | 78.9% | — |
| LiveBench Language | — | 25.6% |

## FAQ

### Is GLM-4.5-Air better than Phi-4?

GLM-4.5-Air is the stronger model overall, scoring 38.7 to 30.9 on the Noometry Index. Phi-4 costs 4.9× less per token, which makes it the better buy when GLM-4.5-Air's lead doesn't matter for your workload.

### Which is cheaper, GLM-4.5-Air or Phi-4?

Phi-4 is cheaper. It lists at $0.07 per million input tokens and $0.14 per million output tokens; GLM-4.5-Air lists at $0.20 and $1.10.

### Is GLM-4.5-Air or Phi-4 better for coding?

They score almost the same on coding (34.5 vs 33.8); test both on your own repository before choosing.

### Which has the bigger context window?

GLM-4.5-Air does, with 131K tokens against 128K.

### How many benchmarks do GLM-4.5-Air and Phi-4 share?

18 benchmarks have published results for both models. GLM-4.5-Air has 27 scored results on Noometry and Phi-4 has 37.