# Gemini 1.5 Pro (May 2024) vs GLM-4.5

> GLM-4.5 is the stronger model overall, scoring 41.4 to 31.9 on the Noometry Index.

- Canonical page: https://noometry.com/compare/gemini-1-5-pro-vs-glm-4-5
- Last updated: 2026-10-10
- Shared benchmarks: 20

## Summary

- They share 20 benchmarks with published results for both. Gemini 1.5 Pro (May 2024) scores higher in 1 category and GLM-4.5 in 7 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where GLM-4.5 leads 27.7 to 12.3.
- The biggest single-benchmark swing is WeirdML: 22.2% for Gemini 1.5 Pro (May 2024) and 40.6% for GLM-4.5.
- GLM-4.5 has downloadable open weights; the other is API-only.

## Snapshot

| | Gemini 1.5 Pro (May 2024) | GLM-4.5 |
|---|---|---|
| Provider | Google | Z.ai (Zhipu) |
| Noometry Index | 31.9 | 41.4 |
| Rank | 253 | 125 |
| Context | — | 131K |
| Input $/M | — | $0.60 |
| Output $/M | — | $2.20 |
| Weights | Proprietary | Open |

## Coding

- Gemini 1.5 Pro (May 2024): 33.8 (#239)
- GLM-4.5: 41.1 (#121)

| Benchmark | Gemini 1.5 Pro (May 2024) | GLM-4.5 |
|---|---|---|
| WeirdML | 22.2% | 40.6% |
| LMArena Coding | 1294 | 1434 |
| SWE-bench Verified (bash only) | — | 54.2% |
| BigCodeBench Instruct | 43.8% | — |
| BigCodeBench Complete | 57.5% | — |
| CadEval | 34% | — |
| ALE-Bench | — | 344.82 |
| AlgoTune | — | 1.52 |
| HumanEval+ | 79.3% | — |
| MBPP+ | 74.6% | — |

## Agentic & Tool Use

- Gemini 1.5 Pro (May 2024): 17.8 (#137)
- GLM-4.5: —

| Benchmark | Gemini 1.5 Pro (May 2024) | GLM-4.5 |
|---|---|---|
| TheAgentCompany | 3.4% | — |
| Cybench | 7.5% | — |
| BALROG | 21% | — |

## Reasoning

- Gemini 1.5 Pro (May 2024): 12.3 (#332)
- GLM-4.5: 27.7 (#99)

| Benchmark | Gemini 1.5 Pro (May 2024) | GLM-4.5 |
|---|---|---|
| LMArena Hard Prompts | 1296 | 1430 |
| ARC-AGI-2 | 0.8% | — |
| SimpleBench | 27.1% | — |
| Kagi LLM Benchmark | — | 57.9% |
| DTBench | 59% | — |
| BIG-Bench Hard | 89.2% | — |
| Epoch Capabilities Index | 131.73 | — |
| ForecastBench | 58.4 | — |

## Math

- Gemini 1.5 Pro (May 2024): 24.4 (#260)
- GLM-4.5: 36.3 (#119)

| Benchmark | Gemini 1.5 Pro (May 2024) | GLM-4.5 |
|---|---|---|
| LMArena Math | 1315 | 1427 |
| OTIS Mock AIME 2024-2025 | 23.1% | — |
| Omni-MATH | 36.4% | — |
| MATH Level 5 | 70.4% | — |

## Knowledge

- Gemini 1.5 Pro (May 2024): 29.3 (#228)
- GLM-4.5: 35.5 (#172)

| Benchmark | Gemini 1.5 Pro (May 2024) | GLM-4.5 |
|---|---|---|
| Humanity's Last Exam | 4.6% | 8.3% |
| Confabulations | 13.5% | 11.3% |
| LMArena Expert | 1279 | 1433 |
| GPQA Diamond | 57.2% | — |
| MMLU-Pro | 73.7% | — |
| GPQA (HELM) | 53.4% | — |
| MMLU | 86.9% | — |

## Multimodal

- Gemini 1.5 Pro (May 2024): 36.2 (#72)
- GLM-4.5: —

| Benchmark | Gemini 1.5 Pro (May 2024) | GLM-4.5 |
|---|---|---|
| LMArena Vision | 1161 | — |
| Video-MME | 75% | — |

## Multilingual

- Gemini 1.5 Pro (May 2024): 45.5 (#169)
- GLM-4.5: 53.0 (#74)

| Benchmark | Gemini 1.5 Pro (May 2024) | GLM-4.5 |
|---|---|---|
| LMArena Non-English | 1312 | 1417 |
| LMArena Chinese | 1331 | 1465 |
| LMArena French | 1301 | 1423 |
| LMArena German | 1286 | 1406 |
| LMArena Japanese | 1292 | 1416 |
| LMArena Korean | 1298 | 1382 |
| LMArena Russian | 1320 | 1414 |
| LMArena Spanish | 1310 | 1454 |

## Instruction Following

- Gemini 1.5 Pro (May 2024): 68.8 (#180)
- GLM-4.5: 74.3 (#100)

| Benchmark | Gemini 1.5 Pro (May 2024) | GLM-4.5 |
|---|---|---|
| LMArena Instruction Following | 1297 | 1405 |
| IFEval | 83.7% | — |

## Long Context

- Gemini 1.5 Pro (May 2024): 39.7 (#164)
- GLM-4.5: 38.2 (#196)

| Benchmark | Gemini 1.5 Pro (May 2024) | GLM-4.5 |
|---|---|---|
| LMArena Longer Query | 1308 | 1413 |
| Fiction.LiveBench | — | 58.3% |

## Writing & Preference

- Gemini 1.5 Pro (May 2024): 52.5 (#167)
- GLM-4.5: 57.7 (#121)

| Benchmark | Gemini 1.5 Pro (May 2024) | GLM-4.5 |
|---|---|---|
| LMArena Text | 1319 | 1430 |
| LMArena Creative Writing | 1333 | 1395 |
| LMArena Multi-Turn | 1296 | 1415 |
| Short-Story Creative Writing | — | 73.4% |
| EQ-Bench Creative Writing | — | 1343 |
| WildBench | 81.3% | — |

## FAQ

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

GLM-4.5 is the stronger model overall, scoring 41.4 to 31.9 on the Noometry Index.

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

GLM-4.5 scores higher on coding benchmarks: 41.1 versus 33.8 in the Noometry coding category.

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

20 benchmarks have published results for both models. Gemini 1.5 Pro (May 2024) has 45 scored results on Noometry and GLM-4.5 has 27.