# Gemini 1.5 Flash (May 2024) vs GLM-4.6

> GLM-4.6 is the stronger model overall, scoring 41.4 to 33.2 on the Noometry Index.

- Canonical page: https://noometry.com/compare/gemini-1-5-flash-vs-glm-4-6
- 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 0 categories and GLM-4.6 in 9 categories; 9 gaps are clear of the uncertainty.
- The widest gap is in math, where GLM-4.6 leads 39.1 to 22.1.
- GLM-4.6 has downloadable open weights; the other is API-only.

## Snapshot

| | Gemini 1.5 Flash (May 2024) | GLM-4.6 |
|---|---|---|
| Provider | Google | Z.ai (Zhipu) |
| Noometry Index | 33.2 | 41.4 |
| Rank | 246 | 135 |
| Context | — | 205K |
| Input $/M | — | $0.60 |
| Output $/M | — | $2.20 |
| Weights | Proprietary | Open |

## Coding

- Gemini 1.5 Flash (May 2024): 34.4 (#236)
- GLM-4.6: 40.1 (#148)

| Benchmark | Gemini 1.5 Flash (May 2024) | GLM-4.6 |
|---|---|---|
| LMArena Coding | 1261 | 1449 |
| SWE-bench Verified (bash only) | — | 55.4% |
| LMArena WebDev | — | 1340 |
| SciCode | — | 38.4% |
| WeirdML | 24.9% | — |
| BigCodeBench Instruct | 43.5% | — |
| BigCodeBench Complete | 55.1% | — |
| ALE-Bench | — | 340.82 |
| HumanEval+ | 75.6% | — |
| MBPP+ | 67.5% | — |

## Agentic & Tool Use

- Gemini 1.5 Flash (May 2024): 26.6 (#102)
- GLM-4.6: 32.3 (#66)

| Benchmark | Gemini 1.5 Flash (May 2024) | GLM-4.6 |
|---|---|---|
| Terminal-Bench | — | 24.5% |
| Berkeley Function Calling Leaderboard | — | 72.4% |
| BALROG | 14.6% | — |

## Reasoning

- Gemini 1.5 Flash (May 2024): 21.7 (#215)
- GLM-4.6: 23.7 (#172)

| Benchmark | Gemini 1.5 Flash (May 2024) | GLM-4.6 |
|---|---|---|
| LMArena Hard Prompts | 1257 | 1440 |
| Kagi LLM Benchmark | — | 47.4% |
| CritPt | — | 1.1% |
| DTBench | 53.8% | — |
| Epoch Capabilities Index | 129.36 | — |
| ForecastBench | 53.9 | — |
| PIQA | 87.5% | — |

## Math

- Gemini 1.5 Flash (May 2024): 22.1 (#281)
- GLM-4.6: 39.1 (#111)

| Benchmark | Gemini 1.5 Flash (May 2024) | GLM-4.6 |
|---|---|---|
| LMArena Math | 1269 | 1432 |
| FrontierMath (Feb 2025 set) | 0% | 3.8% |
| OTIS Mock AIME 2024-2025 | 16.3% | — |
| Omni-MATH | 30.4% | — |
| MATH Level 5 | 61.9% | — |
| FrontierMath Tier 4 (v1) | — | 2.1% |
| GSM8K | 82.4% | — |

## Knowledge

- Gemini 1.5 Flash (May 2024): 26.2 (#260)
- GLM-4.6: 40.2 (#124)

| Benchmark | Gemini 1.5 Flash (May 2024) | GLM-4.6 |
|---|---|---|
| LMArena Expert | 1233 | 1431 |
| GPQA Diamond | 47.3% | — |
| MMLU-Pro | 67.8% | — |
| Vectara Hallucination Rate | — | 9.5% |
| GPQA (HELM) | 43.7% | — |
| BoolQ | 85.8% | — |
| MMLU | 77.9% | — |

## Multimodal

- Gemini 1.5 Flash (May 2024): 36.0 (#81)
- GLM-4.6: —

| Benchmark | Gemini 1.5 Flash (May 2024) | GLM-4.6 |
|---|---|---|
| LMArena Vision | 1141 | — |
| Video-MME | 70.3% | — |
| GeoBench | 76% | — |

## Multilingual

- Gemini 1.5 Flash (May 2024): 42.9 (#189)
- GLM-4.6: 53.5 (#66)

| Benchmark | Gemini 1.5 Flash (May 2024) | GLM-4.6 |
|---|---|---|
| LMArena Non-English | 1278 | 1426 |
| LMArena Chinese | 1295 | 1499 |
| LMArena French | 1258 | 1459 |
| LMArena German | 1262 | 1447 |
| LMArena Japanese | 1252 | 1393 |
| LMArena Korean | 1221 | 1400 |
| LMArena Russian | 1288 | 1419 |
| LMArena Spanish | 1243 | 1436 |

## Instruction Following

- Gemini 1.5 Flash (May 2024): 66.8 (#205)
- GLM-4.6: 74.3 (#98)

| Benchmark | Gemini 1.5 Flash (May 2024) | GLM-4.6 |
|---|---|---|
| LMArena Instruction Following | 1258 | 1410 |
| IFEval | 83.1% | — |

## Long Context

- Gemini 1.5 Flash (May 2024): 39.0 (#187)
- GLM-4.6: 43.4 (#94)

| Benchmark | Gemini 1.5 Flash (May 2024) | GLM-4.6 |
|---|---|---|
| LMArena Longer Query | 1284 | 1422 |

## Writing & Preference

- Gemini 1.5 Flash (May 2024): 48.7 (#196)
- GLM-4.6: 61.1 (#90)

| Benchmark | Gemini 1.5 Flash (May 2024) | GLM-4.6 |
|---|---|---|
| LMArena Text | 1287 | 1440 |
| LMArena Creative Writing | 1285 | 1411 |
| LMArena Multi-Turn | 1253 | 1427 |
| EQ-Bench Creative Writing | — | 1411 |
| WildBench | 79.2% | — |

## FAQ

### Is Gemini 1.5 Flash (May 2024) better than GLM-4.6?

GLM-4.6 is the stronger model overall, scoring 41.4 to 33.2 on the Noometry Index.

### Is Gemini 1.5 Flash (May 2024) or GLM-4.6 better for coding?

GLM-4.6 scores higher on coding benchmarks: 40.1 versus 34.4 in the Noometry coding category.

### How many benchmarks do Gemini 1.5 Flash (May 2024) and GLM-4.6 share?

18 benchmarks have published results for both models. Gemini 1.5 Flash (May 2024) has 42 scored results on Noometry and GLM-4.6 has 29.