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

> GLM-5.3-Flash is the stronger model overall, scoring 51.8 to 33.2 on the Noometry Index.

- Canonical page: https://noometry.com/compare/gemini-1-5-flash-vs-glm-5-3-flash
- Last updated: 2026-10-10
- Shared benchmarks: 21

## Summary

- They share 21 benchmarks with published results for both. Gemini 1.5 Flash (May 2024) scores higher in 0 categories and GLM-5.3-Flash in 10 categories; 10 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where GLM-5.3-Flash leads 58.4 to 26.2.
- The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 16.3% for Gemini 1.5 Flash (May 2024) and 93.9% for GLM-5.3-Flash.
- GLM-5.3-Flash has downloadable open weights; the other is API-only.

## Snapshot

| | Gemini 1.5 Flash (May 2024) | GLM-5.3-Flash |
|---|---|---|
| Provider | Google | Z.ai (Zhipu) |
| Noometry Index | 33.2 | 51.8 |
| Rank | 246 | 41 |
| Context | — | 1M |
| Input $/M | — | $0.15 |
| Output $/M | — | $0.50 |
| Weights | Proprietary | Open |

## Coding

- Gemini 1.5 Flash (May 2024): 34.4 (#236)
- GLM-5.3-Flash: 53.1 (#31)

| Benchmark | Gemini 1.5 Flash (May 2024) | GLM-5.3-Flash |
|---|---|---|
| LMArena Coding | 1261 | 1508 |
| DeepSWE | — | 63.4% |
| FrontierCode | — | 31.8% |
| CursorBench | — | 36.8% |
| LMArena WebDev | — | 1609 |
| FrontierSWE | — | 18.1% |
| SciCode | — | 51.6% |
| WeirdML | 24.9% | — |
| BigCodeBench Instruct | 43.5% | — |
| BigCodeBench Complete | 55.1% | — |
| ALE-Bench | — | 303.55 |
| HumanEval+ | 75.6% | — |
| MBPP+ | 67.5% | — |

## Agentic & Tool Use

- Gemini 1.5 Flash (May 2024): 26.6 (#102)
- GLM-5.3-Flash: 34.2 (#47)

| Benchmark | Gemini 1.5 Flash (May 2024) | GLM-5.3-Flash |
|---|---|---|
| APEX-Agents | — | 52.8% |
| BALROG | 14.6% | — |
| GDP.pdf | — | 14% |

## Reasoning

- Gemini 1.5 Flash (May 2024): 21.7 (#215)
- GLM-5.3-Flash: 48.0 (#42)

| Benchmark | Gemini 1.5 Flash (May 2024) | GLM-5.3-Flash |
|---|---|---|
| LMArena Hard Prompts | 1257 | 1491 |
| Epoch Capabilities Index | 129.36 | 151.88 |
| ARC-AGI-2 | — | 65.8% |
| ARC-AGI-1 | — | 91% |
| CritPt | — | 15.4% |
| Chess Puzzles | — | 14% |
| Mystery Game Puzzles | — | 8% |
| DTBench | 53.8% | — |
| Surface Evolver Bench | — | 52.5% |
| Bench to the Future 3 | — | 0.15 |
| ForecastBench | 53.9 | — |
| PIQA | 87.5% | — |

## Math

- Gemini 1.5 Flash (May 2024): 22.1 (#281)
- GLM-5.3-Flash: 53.3 (#47)

| Benchmark | Gemini 1.5 Flash (May 2024) | GLM-5.3-Flash |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 16.3% | 93.9% |
| LMArena Math | 1269 | 1500 |
| FrontierMath (Tiers 1-3) | — | 55.8% |
| FrontierMath Tier 4 | — | 17.1% |
| ProofBench | — | 21% |
| Omni-MATH | 30.4% | — |
| MATH Level 5 | 61.9% | — |
| FrontierMath (Feb 2025 set) | 0% | — |
| GSM8K | 82.4% | — |

## Knowledge

- Gemini 1.5 Flash (May 2024): 26.2 (#260)
- GLM-5.3-Flash: 58.4 (#36)

| Benchmark | Gemini 1.5 Flash (May 2024) | GLM-5.3-Flash |
|---|---|---|
| GPQA Diamond | 47.3% | 90.2% |
| LMArena Expert | 1233 | 1513 |
| MMLU-Pro | 67.8% | — |
| GPQA (HELM) | 43.7% | — |
| BoolQ | 85.8% | — |
| MMLU | 77.9% | — |

## Multimodal

- Gemini 1.5 Flash (May 2024): 36.0 (#81)
- GLM-5.3-Flash: 42.8 (#27)

| Benchmark | Gemini 1.5 Flash (May 2024) | GLM-5.3-Flash |
|---|---|---|
| LMArena Vision | 1141 | 1296 |
| Video-MME | 70.3% | — |
| GeoBench | 76% | — |

## Multilingual

- Gemini 1.5 Flash (May 2024): 42.9 (#189)
- GLM-5.3-Flash: 56.0 (#25)

| Benchmark | Gemini 1.5 Flash (May 2024) | GLM-5.3-Flash |
|---|---|---|
| LMArena Non-English | 1278 | 1462 |
| LMArena Chinese | 1295 | 1527 |
| LMArena French | 1258 | 1496 |
| LMArena German | 1262 | 1470 |
| LMArena Japanese | 1252 | 1429 |
| LMArena Korean | 1221 | 1446 |
| LMArena Russian | 1288 | 1469 |
| LMArena Spanish | 1243 | 1471 |

## Instruction Following

- Gemini 1.5 Flash (May 2024): 66.8 (#205)
- GLM-5.3-Flash: 77.5 (#20)

| Benchmark | Gemini 1.5 Flash (May 2024) | GLM-5.3-Flash |
|---|---|---|
| LMArena Instruction Following | 1258 | 1478 |
| IFEval | 83.1% | — |

## Long Context

- Gemini 1.5 Flash (May 2024): 39.0 (#187)
- GLM-5.3-Flash: 45.4 (#39)

| Benchmark | Gemini 1.5 Flash (May 2024) | GLM-5.3-Flash |
|---|---|---|
| LMArena Longer Query | 1284 | 1482 |

## Writing & Preference

- Gemini 1.5 Flash (May 2024): 48.7 (#196)
- GLM-5.3-Flash: 65.3 (#50)

| Benchmark | Gemini 1.5 Flash (May 2024) | GLM-5.3-Flash |
|---|---|---|
| LMArena Text | 1287 | 1471 |
| LMArena Creative Writing | 1285 | 1442 |
| LMArena Multi-Turn | 1253 | 1467 |
| WildBench | 79.2% | — |

## FAQ

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

GLM-5.3-Flash is the stronger model overall, scoring 51.8 to 33.2 on the Noometry Index.

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

GLM-5.3-Flash scores higher on coding benchmarks: 53.1 versus 34.4 in the Noometry coding category.

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

21 benchmarks have published results for both models. Gemini 1.5 Flash (May 2024) has 42 scored results on Noometry and GLM-5.3-Flash has 40.