# Gemini 1.5 Pro (May 2024) vs GLM-5.3

> GLM-5.3 is the stronger model overall, scoring 54.6 to 31.9 on the Noometry Index.

- Canonical page: https://noometry.com/compare/gemini-1-5-pro-vs-glm-5-3
- Last updated: 2026-10-10
- Shared benchmarks: 22

## Summary

- They share 22 benchmarks with published results for both. Gemini 1.5 Pro (May 2024) scores higher in 0 categories and GLM-5.3 in 9 categories; 9 gaps are clear of the uncertainty.
- The widest gap is in math, where GLM-5.3 leads 62.1 to 24.4.
- The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 23.1% for Gemini 1.5 Pro (May 2024) and 91.1% for GLM-5.3.
- GLM-5.3 has downloadable open weights; the other is API-only.

## Snapshot

| | Gemini 1.5 Pro (May 2024) | GLM-5.3 |
|---|---|---|
| Provider | Google | Z.ai (Zhipu) |
| Noometry Index | 31.9 | 54.6 |
| Rank | 253 | 25 |
| Context | — | 1M |
| Input $/M | — | $1.40 |
| Output $/M | — | $4.40 |
| Weights | Proprietary | Open |

## Coding

- Gemini 1.5 Pro (May 2024): 33.8 (#239)
- GLM-5.3: 59.0 (#12)

| Benchmark | Gemini 1.5 Pro (May 2024) | GLM-5.3 |
|---|---|---|
| WeirdML | 22.2% | 75.4% |
| LMArena Coding | 1294 | 1499 |
| DeepSWE | — | 69% |
| FrontierCode | — | 40.1% |
| LMArena WebDev | — | 1623 |
| FrontierSWE | — | 30.2% |
| SciCode | — | 59% |
| BigCodeBench Instruct | 43.8% | — |
| BigCodeBench Complete | 57.5% | — |
| CadEval | 34% | — |
| ALE-Bench | — | 1,317 |
| HumanEval+ | 79.3% | — |
| MBPP+ | 74.6% | — |

## Agentic & Tool Use

- Gemini 1.5 Pro (May 2024): 17.8 (#137)
- GLM-5.3: 36.3 (#34)

| Benchmark | Gemini 1.5 Pro (May 2024) | GLM-5.3 |
|---|---|---|
| APEX-Agents | — | 56.6% |
| TheAgentCompany | 3.4% | — |
| Cybench | 7.5% | — |
| BALROG | 21% | — |
| Vending-Bench 2 | — | 8,164 |

## Reasoning

- Gemini 1.5 Pro (May 2024): 12.3 (#332)
- GLM-5.3: 45.2 (#42)

| Benchmark | Gemini 1.5 Pro (May 2024) | GLM-5.3 |
|---|---|---|
| LMArena Hard Prompts | 1296 | 1491 |
| DTBench | 59% | 87.7% |
| Epoch Capabilities Index | 131.73 | 155.56 |
| ARC-AGI-2 | 0.8% | — |
| SimpleBench | 27.1% | — |
| NYT Connections (extended) | — | 74.2% |
| CritPt | — | 19.1% |
| Chess Puzzles | — | 21% |
| Mystery Game Puzzles | — | 33% |
| LMCA | — | 55.5% |
| Bench to the Future 3 | — | 0.15 |
| BIG-Bench Hard | 89.2% | — |
| ForecastBench | 58.4 | — |

## Math

- Gemini 1.5 Pro (May 2024): 24.4 (#260)
- GLM-5.3: 62.1 (#27)

| Benchmark | Gemini 1.5 Pro (May 2024) | GLM-5.3 |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 23.1% | 91.1% |
| LMArena Math | 1315 | 1493 |
| FrontierMath (Tiers 1-3) | — | 68.8% |
| FrontierMath Tier 4 | — | 29.3% |
| ProofBench | — | 49% |
| Omni-MATH | 36.4% | — |
| MATH Level 5 | 70.4% | — |

## Knowledge

- Gemini 1.5 Pro (May 2024): 29.3 (#228)
- GLM-5.3: 58.3 (#34)

| Benchmark | Gemini 1.5 Pro (May 2024) | GLM-5.3 |
|---|---|---|
| GPQA Diamond | 57.2% | 90.9% |
| LMArena Expert | 1279 | 1512 |
| Humanity's Last Exam | 4.6% | — |
| SimpleQA Verified | — | 41% |
| MMLU-Pro | 73.7% | — |
| Confabulations | 13.5% | — |
| GPQA (HELM) | 53.4% | — |
| MMLU | 86.9% | — |

## Multimodal

- Gemini 1.5 Pro (May 2024): 36.2 (#72)
- GLM-5.3: —

| Benchmark | Gemini 1.5 Pro (May 2024) | GLM-5.3 |
|---|---|---|
| LMArena Vision | 1161 | — |
| Video-MME | 75% | — |

## Multilingual

- Gemini 1.5 Pro (May 2024): 45.5 (#169)
- GLM-5.3: 55.9 (#27)

| Benchmark | Gemini 1.5 Pro (May 2024) | GLM-5.3 |
|---|---|---|
| LMArena Non-English | 1312 | 1457 |
| LMArena Chinese | 1331 | 1523 |
| LMArena French | 1301 | 1499 |
| LMArena German | 1286 | 1505 |
| LMArena Japanese | 1292 | 1438 |
| LMArena Korean | 1298 | 1478 |
| LMArena Russian | 1320 | 1460 |
| LMArena Spanish | 1310 | 1444 |

## Instruction Following

- Gemini 1.5 Pro (May 2024): 68.8 (#180)
- GLM-5.3: 77.8 (#15)

| Benchmark | Gemini 1.5 Pro (May 2024) | GLM-5.3 |
|---|---|---|
| LMArena Instruction Following | 1297 | 1481 |
| IFEval | 83.7% | — |

## Long Context

- Gemini 1.5 Pro (May 2024): 39.7 (#164)
- GLM-5.3: 45.5 (#32)

| Benchmark | Gemini 1.5 Pro (May 2024) | GLM-5.3 |
|---|---|---|
| LMArena Longer Query | 1308 | 1485 |

## Writing & Preference

- Gemini 1.5 Pro (May 2024): 52.5 (#167)
- GLM-5.3: 75.9 (#6)

| Benchmark | Gemini 1.5 Pro (May 2024) | GLM-5.3 |
|---|---|---|
| LMArena Text | 1319 | 1473 |
| LMArena Creative Writing | 1333 | 1459 |
| LMArena Multi-Turn | 1296 | 1473 |
| EQ-Bench Creative Writing | — | 2075 |
| WildBench | 81.3% | — |

## FAQ

### Is Gemini 1.5 Pro (May 2024) better than GLM-5.3?

GLM-5.3 is the stronger model overall, scoring 54.6 to 31.9 on the Noometry Index.

### Is Gemini 1.5 Pro (May 2024) or GLM-5.3 better for coding?

GLM-5.3 scores higher on coding benchmarks: 59.0 versus 33.8 in the Noometry coding category.

### How many benchmarks do Gemini 1.5 Pro (May 2024) and GLM-5.3 share?

22 benchmarks have published results for both models. Gemini 1.5 Pro (May 2024) has 45 scored results on Noometry and GLM-5.3 has 41.