# Gemini 1.5 Flash (May 2024) vs GLM-4.5-Air

> GLM-4.5-Air is the stronger model overall, scoring 38.9 to 33.2 on the Noometry Index.

- Canonical page: https://noometry.com/compare/gemini-1-5-flash-vs-glm-4-5-air
- Last updated: 2026-10-12
- Shared benchmarks: 23

## Summary

- They share 23 benchmarks with published results for both. Gemini 1.5 Flash (May 2024) scores higher in 1 category and GLM-4.5-Air in 7 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in math, where GLM-4.5-Air leads 36.2 to 22.1.
- The biggest single-benchmark swing is GPQA (HELM): 43.7% for Gemini 1.5 Flash (May 2024) and 59.4% for GLM-4.5-Air.
- GLM-4.5-Air has downloadable open weights; the other is API-only.

## Snapshot

| | Gemini 1.5 Flash (May 2024) | GLM-4.5-Air |
|---|---|---|
| Provider | Google | Z.ai (Zhipu) |
| Noometry Index | 33.2 | 38.9 |
| Rank | 246 | 177 |
| Context | — | 131K |
| Input $/M | — | $0.20 |
| Output $/M | — | $1.10 |
| Weights | Proprietary | Open |

## Coding

- Gemini 1.5 Flash (May 2024): 34.4 (#236)
- GLM-4.5-Air: 33.3 (#259)

| Benchmark | Gemini 1.5 Flash (May 2024) | GLM-4.5-Air |
|---|---|---|
| LMArena Coding | 1261 | 1397 |
| GSO | — | 2.9% |
| WeirdML | 24.9% | — |
| BigCodeBench Instruct | 43.5% | — |
| BigCodeBench Complete | 55.1% | — |
| HumanEval+ | 75.6% | — |
| MBPP+ | 67.5% | — |

## Agentic & Tool Use

- Gemini 1.5 Flash (May 2024): 26.6 (#102)
- GLM-4.5-Air: —

| Benchmark | Gemini 1.5 Flash (May 2024) | GLM-4.5-Air |
|---|---|---|
| BALROG | 14.6% | — |

## Reasoning

- Gemini 1.5 Flash (May 2024): 21.7 (#215)
- GLM-4.5-Air: 24.1 (#166)

| Benchmark | Gemini 1.5 Flash (May 2024) | GLM-4.5-Air |
|---|---|---|
| LMArena Hard Prompts | 1257 | 1379 |
| ForecastBench | 53.9 | 59.2 |
| Kagi LLM Benchmark | — | 43% |
| DTBench | 53.8% | — |
| Epoch Capabilities Index | 129.36 | — |
| PIQA | 87.5% | — |

## Math

- Gemini 1.5 Flash (May 2024): 22.1 (#281)
- GLM-4.5-Air: 36.2 (#170)

| Benchmark | Gemini 1.5 Flash (May 2024) | GLM-4.5-Air |
|---|---|---|
| Omni-MATH | 30.4% | 39.1% |
| LMArena Math | 1269 | 1396 |
| OTIS Mock AIME 2024-2025 | 16.3% | — |
| MATH Level 5 | 61.9% | — |
| FrontierMath (Feb 2025 set) | 0% | — |
| GSM8K | 82.4% | — |

## Knowledge

- Gemini 1.5 Flash (May 2024): 26.2 (#260)
- GLM-4.5-Air: 35.0 (#191)

| Benchmark | Gemini 1.5 Flash (May 2024) | GLM-4.5-Air |
|---|---|---|
| MMLU-Pro | 67.8% | 76.2% |
| GPQA (HELM) | 43.7% | 59.4% |
| LMArena Expert | 1233 | 1370 |
| GPQA Diamond | 47.3% | — |
| Humanity's Last Exam | — | 8.1% |
| Vectara Hallucination Rate | — | 9.3% |
| BoolQ | 85.8% | — |
| MMLU | 77.9% | — |

## Multimodal

- Gemini 1.5 Flash (May 2024): 36.0 (#81)
- GLM-4.5-Air: —

| Benchmark | Gemini 1.5 Flash (May 2024) | GLM-4.5-Air |
|---|---|---|
| LMArena Vision | 1141 | — |
| Video-MME | 70.3% | — |
| GeoBench | 76% | — |

## Multilingual

- Gemini 1.5 Flash (May 2024): 42.9 (#189)
- GLM-4.5-Air: 49.1 (#135)

| Benchmark | Gemini 1.5 Flash (May 2024) | GLM-4.5-Air |
|---|---|---|
| LMArena Non-English | 1278 | 1366 |
| LMArena Chinese | 1295 | 1426 |
| LMArena French | 1258 | 1399 |
| LMArena German | 1262 | 1377 |
| LMArena Japanese | 1252 | 1348 |
| LMArena Korean | 1221 | 1308 |
| LMArena Russian | 1288 | 1373 |
| LMArena Spanish | 1243 | 1386 |

## Instruction Following

- Gemini 1.5 Flash (May 2024): 66.8 (#205)
- GLM-4.5-Air: 69.6 (#171)

| Benchmark | Gemini 1.5 Flash (May 2024) | GLM-4.5-Air |
|---|---|---|
| IFEval | 83.1% | 81.2% |
| LMArena Instruction Following | 1258 | 1354 |

## Long Context

- Gemini 1.5 Flash (May 2024): 39.0 (#187)
- GLM-4.5-Air: 41.6 (#135)

| Benchmark | Gemini 1.5 Flash (May 2024) | GLM-4.5-Air |
|---|---|---|
| LMArena Longer Query | 1284 | 1366 |

## Writing & Preference

- Gemini 1.5 Flash (May 2024): 48.7 (#196)
- GLM-4.5-Air: 55.9 (#139)

| Benchmark | Gemini 1.5 Flash (May 2024) | GLM-4.5-Air |
|---|---|---|
| LMArena Text | 1287 | 1384 |
| LMArena Creative Writing | 1285 | 1343 |
| WildBench | 79.2% | 78.9% |
| LMArena Multi-Turn | 1253 | 1371 |

## FAQ

### Is Gemini 1.5 Flash (May 2024) better than GLM-4.5-Air?

GLM-4.5-Air is the stronger model overall, scoring 38.9 to 33.2 on the Noometry Index.

### Is Gemini 1.5 Flash (May 2024) or GLM-4.5-Air better for coding?

Gemini 1.5 Flash (May 2024) scores higher on coding benchmarks: 34.4 versus 33.3 in the Noometry coding category.

### How many benchmarks do Gemini 1.5 Flash (May 2024) and GLM-4.5-Air share?

23 benchmarks have published results for both models. Gemini 1.5 Flash (May 2024) has 42 scored results on Noometry and GLM-4.5-Air has 27.