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

> GLM-4.7-Flash is the stronger model overall, scoring 38.4 to 32.9 on the Noometry Index.

- Canonical page: https://noometry.com/compare/gemini-1-5-flash-vs-glm-4-7-flash
- Last updated: 2026-10-10
- Shared benchmarks: 18

## Summary

- They share 18 benchmarks with published results for both. Gemini 1.5 Flash (May 2024) scores higher in 2 categories and GLM-4.7-Flash in 6 categories; 7 gaps are clear of the uncertainty.
- The widest gap is in math, where GLM-4.7-Flash leads 34.4 to 20.8.
- The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 16.3% for Gemini 1.5 Flash (May 2024) and 58.3% for GLM-4.7-Flash.
- GLM-4.7-Flash has downloadable open weights; the other is API-only.

## Snapshot

| | Gemini 1.5 Flash (May 2024) | GLM-4.7-Flash |
|---|---|---|
| Provider | Google | Z.ai (Zhipu) |
| Noometry Index | 32.9 | 38.4 |
| Rank | 240 | 175 |
| Context | — | 200K |
| Input $/M | — | $0.06 |
| Output $/M | — | $0.40 |
| Weights | Proprietary | Open |

## Coding

- Gemini 1.5 Flash (May 2024): 33.9 (#233)
- GLM-4.7-Flash: 40.0 (#133)

| Benchmark | Gemini 1.5 Flash (May 2024) | GLM-4.7-Flash |
|---|---|---|
| LMArena Coding | 1262 | 1383 |
| 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): 26.3 (#97)
- GLM-4.7-Flash: —

| Benchmark | Gemini 1.5 Flash (May 2024) | GLM-4.7-Flash |
|---|---|---|
| BALROG | 14.6% | — |

## Reasoning

- Gemini 1.5 Flash (May 2024): 20.8 (#212)
- GLM-4.7-Flash: 20.2 (#224)

| Benchmark | Gemini 1.5 Flash (May 2024) | GLM-4.7-Flash |
|---|---|---|
| LMArena Hard Prompts | 1257 | 1356 |
| Chess Puzzles | — | 0% |
| DTBench | 53.8% | — |
| Epoch Capabilities Index | 129.37 | — |
| ForecastBench | 53.9 | — |
| PIQA | 87.5% | — |

## Math

- Gemini 1.5 Flash (May 2024): 20.8 (#274)
- GLM-4.7-Flash: 34.4 (#159)

| Benchmark | Gemini 1.5 Flash (May 2024) | GLM-4.7-Flash |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 16.3% | 58.3% |
| LMArena Math | 1269 | 1354 |
| 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 (#253)
- GLM-4.7-Flash: 35.4 (#177)

| Benchmark | Gemini 1.5 Flash (May 2024) | GLM-4.7-Flash |
|---|---|---|
| GPQA Diamond | 47.3% | 60.5% |
| LMArena Expert | 1233 | 1357 |
| MMLU-Pro | 67.8% | — |
| Vectara Hallucination Rate | — | 9.3% |
| GPQA (HELM) | 43.7% | — |
| BoolQ | 85.8% | — |
| MMLU | 77.9% | — |

## Multimodal

- Gemini 1.5 Flash (May 2024): 35.3 (#76)
- GLM-4.7-Flash: —

| Benchmark | Gemini 1.5 Flash (May 2024) | GLM-4.7-Flash |
|---|---|---|
| LMArena Vision | 1141 | — |
| Video-MME | 70.3% | — |
| GeoBench | 76% | — |

## Multilingual

- Gemini 1.5 Flash (May 2024): 43.1 (#184)
- GLM-4.7-Flash: 46.8 (#152)

| Benchmark | Gemini 1.5 Flash (May 2024) | GLM-4.7-Flash |
|---|---|---|
| LMArena Non-English | 1278 | 1331 |
| LMArena Chinese | 1295 | 1403 |
| LMArena French | 1257 | 1332 |
| LMArena German | 1262 | 1336 |
| LMArena Korean | 1220 | 1284 |
| LMArena Russian | 1288 | 1333 |
| LMArena Spanish | 1242 | 1351 |
| LMArena Japanese | 1252 | — |

## Instruction Following

- Gemini 1.5 Flash (May 2024): 67.0 (#199)
- GLM-4.7-Flash: 70.3 (#162)

| Benchmark | Gemini 1.5 Flash (May 2024) | GLM-4.7-Flash |
|---|---|---|
| LMArena Instruction Following | 1258 | 1327 |
| IFEval | 83.1% | — |

## Long Context

- Gemini 1.5 Flash (May 2024): 39.0 (#182)
- GLM-4.7-Flash: 40.9 (#143)

| Benchmark | Gemini 1.5 Flash (May 2024) | GLM-4.7-Flash |
|---|---|---|
| LMArena Longer Query | 1284 | 1345 |

## Writing & Preference

- Gemini 1.5 Flash (May 2024): 48.9 (#190)
- GLM-4.7-Flash: 47.7 (#206)

| Benchmark | Gemini 1.5 Flash (May 2024) | GLM-4.7-Flash |
|---|---|---|
| LMArena Text | 1287 | 1351 |
| LMArena Creative Writing | 1285 | 1297 |
| LMArena Multi-Turn | 1253 | 1342 |
| EQ-Bench Creative Writing | — | 1125 |
| WildBench | 79.2% | — |

## FAQ

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

GLM-4.7-Flash is the stronger model overall, scoring 38.4 to 32.9 on the Noometry Index.

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

GLM-4.7-Flash scores higher on coding benchmarks: 40.0 versus 33.9 in the Noometry coding category.

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

18 benchmarks have published results for both models. Gemini 1.5 Flash (May 2024) has 42 scored results on Noometry and GLM-4.7-Flash has 21.