# Gemini 1.5 Pro (May 2024) vs GLM-4.7

> GLM-4.7 is the stronger model overall, scoring 41.7 to 31.9 on the Noometry Index.

- Canonical page: https://noometry.com/compare/gemini-1-5-pro-vs-glm-4-7
- Last updated: 2026-10-10
- Shared benchmarks: 21

## Summary

- They share 21 benchmarks with published results for both. Gemini 1.5 Pro (May 2024) scores higher in 0 categories and GLM-4.7 in 9 categories; 9 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where GLM-4.7 leads 47.0 to 29.3.
- The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 23.1% for Gemini 1.5 Pro (May 2024) and 83.3% for GLM-4.7.
- GLM-4.7 has downloadable open weights; the other is API-only.

## Snapshot

| | Gemini 1.5 Pro (May 2024) | GLM-4.7 |
|---|---|---|
| Provider | Google | Z.ai (Zhipu) |
| Noometry Index | 31.9 | 41.7 |
| Rank | 253 | 117 |
| Context | — | 205K |
| Input $/M | — | $0.60 |
| Output $/M | — | $2.20 |
| Weights | Proprietary | Open |

## Coding

- Gemini 1.5 Pro (May 2024): 33.8 (#239)
- GLM-4.7: 43.6 (#74)

| Benchmark | Gemini 1.5 Pro (May 2024) | GLM-4.7 |
|---|---|---|
| LMArena Coding | 1294 | 1454 |
| LMArena WebDev | — | 1435 |
| SciCode | — | 45.1% |
| WeirdML | 22.2% | — |
| BigCodeBench Instruct | 43.8% | — |
| BigCodeBench Complete | 57.5% | — |
| CadEval | 34% | — |
| ALE-Bench | — | 399.48 |
| HumanEval+ | 79.3% | — |
| MBPP+ | 74.6% | — |

## Agentic & Tool Use

- Gemini 1.5 Pro (May 2024): 17.8 (#137)
- GLM-4.7: 26.4 (#96)

| Benchmark | Gemini 1.5 Pro (May 2024) | GLM-4.7 |
|---|---|---|
| Terminal-Bench | — | 33.4% |
| TheAgentCompany | 3.4% | — |
| Cybench | 7.5% | — |
| BALROG | 21% | — |
| Vending-Bench 2 | — | 2,377 |

## Reasoning

- Gemini 1.5 Pro (May 2024): 12.3 (#332)
- GLM-4.7: 23.7 (#161)

| Benchmark | Gemini 1.5 Pro (May 2024) | GLM-4.7 |
|---|---|---|
| SimpleBench | 27.1% | 47.7% |
| LMArena Hard Prompts | 1296 | 1443 |
| Epoch Capabilities Index | 131.73 | 143.53 |
| ARC-AGI-2 | 0.8% | — |
| CritPt | — | 1.7% |
| Chess Puzzles | — | 6% |
| DTBench | 59% | — |
| BIG-Bench Hard | 89.2% | — |
| ForecastBench | 58.4 | — |

## Math

- Gemini 1.5 Pro (May 2024): 24.4 (#260)
- GLM-4.7: 37.7 (#92)

| Benchmark | Gemini 1.5 Pro (May 2024) | GLM-4.7 |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 23.1% | 83.3% |
| LMArena Math | 1315 | 1423 |
| ProofBench | — | 6% |
| Omni-MATH | 36.4% | — |
| MATH Level 5 | 70.4% | — |
| FrontierMath (Feb 2025 set) | — | 2.4% |
| FrontierMath Tier 4 (v1) | — | 0% |

## Knowledge

- Gemini 1.5 Pro (May 2024): 29.3 (#228)
- GLM-4.7: 47.0 (#74)

| Benchmark | Gemini 1.5 Pro (May 2024) | GLM-4.7 |
|---|---|---|
| GPQA Diamond | 57.2% | 83.3% |
| LMArena Expert | 1279 | 1424 |
| Humanity's Last Exam | 4.6% | — |
| SimpleQA Verified | — | 32.2% |
| MMLU-Pro | 73.7% | — |
| Confabulations | 13.5% | — |
| Vectara Hallucination Rate | — | 11.7% |
| GPQA (HELM) | 53.4% | — |
| MMLU | 86.9% | — |

## Multimodal

- Gemini 1.5 Pro (May 2024): 36.2 (#72)
- GLM-4.7: —

| Benchmark | Gemini 1.5 Pro (May 2024) | GLM-4.7 |
|---|---|---|
| LMArena Vision | 1161 | — |
| Video-MME | 75% | — |

## Multilingual

- Gemini 1.5 Pro (May 2024): 45.5 (#169)
- GLM-4.7: 53.0 (#75)

| Benchmark | Gemini 1.5 Pro (May 2024) | GLM-4.7 |
|---|---|---|
| LMArena Non-English | 1312 | 1417 |
| LMArena Chinese | 1331 | 1495 |
| LMArena French | 1301 | 1432 |
| LMArena German | 1286 | 1426 |
| LMArena Japanese | 1292 | 1439 |
| LMArena Korean | 1298 | 1401 |
| LMArena Russian | 1320 | 1423 |
| LMArena Spanish | 1310 | 1433 |

## Instruction Following

- Gemini 1.5 Pro (May 2024): 68.8 (#180)
- GLM-4.7: 74.6 (#90)

| Benchmark | Gemini 1.5 Pro (May 2024) | GLM-4.7 |
|---|---|---|
| LMArena Instruction Following | 1297 | 1411 |
| IFEval | 83.7% | — |

## Long Context

- Gemini 1.5 Pro (May 2024): 39.7 (#164)
- GLM-4.7: 42.8 (#111)

| Benchmark | Gemini 1.5 Pro (May 2024) | GLM-4.7 |
|---|---|---|
| LMArena Longer Query | 1308 | 1432 |
| CL-bench | — | 15.9% |
| CL-bench Life | — | 10.9% |

## Writing & Preference

- Gemini 1.5 Pro (May 2024): 52.5 (#167)
- GLM-4.7: 61.1 (#89)

| Benchmark | Gemini 1.5 Pro (May 2024) | GLM-4.7 |
|---|---|---|
| LMArena Text | 1319 | 1436 |
| LMArena Creative Writing | 1333 | 1401 |
| LMArena Multi-Turn | 1296 | 1446 |
| EQ-Bench Creative Writing | — | 1413 |
| WildBench | 81.3% | — |

## FAQ

### Is Gemini 1.5 Pro (May 2024) better than GLM-4.7?

GLM-4.7 is the stronger model overall, scoring 41.7 to 31.9 on the Noometry Index.

### Is Gemini 1.5 Pro (May 2024) or GLM-4.7 better for coding?

GLM-4.7 scores higher on coding benchmarks: 43.6 versus 33.8 in the Noometry coding category.

### How many benchmarks do Gemini 1.5 Pro (May 2024) and GLM-4.7 share?

21 benchmarks have published results for both models. Gemini 1.5 Pro (May 2024) has 45 scored results on Noometry and GLM-4.7 has 36.