# Gemini 2.0 Flash (Feb 2025) vs GLM-4.6V

> GLM-4.6V is the stronger model overall, scoring 40.9 to 34.8 on the Noometry Index.

- Canonical page: https://noometry.com/compare/gemini-2-0-flash-vs-glm-4-6v
- Last updated: 2026-10-10
- Shared benchmarks: 12

## Summary

- They share 12 benchmarks with published results for both. Gemini 2.0 Flash (Feb 2025) scores higher in 2 categories and GLM-4.6V in 6 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in coding, where GLM-4.6V leads 40.2 to 28.2.
- GLM-4.6V has downloadable open weights; the other is API-only.

## Snapshot

| | Gemini 2.0 Flash (Feb 2025) | GLM-4.6V |
|---|---|---|
| Provider | Google | Z.ai (Zhipu) |
| Noometry Index | 34.8 | 40.9 |
| Rank | 223 | 133 |
| Context | — | 128K |
| Input $/M | — | $0.30 |
| Output $/M | — | $0.90 |
| Weights | Proprietary | Open |

## Coding

- Gemini 2.0 Flash (Feb 2025): 28.2 (#308)
- GLM-4.6V: 40.2 (#128)

| Benchmark | Gemini 2.0 Flash (Feb 2025) | GLM-4.6V |
|---|---|---|
| LMArena Coding | 1351 | 1390 |
| SWE-bench Verified (bash only) | 13.5% | — |
| Aider Polyglot | 38.2% | — |
| WeirdML | 25.8% | — |
| BigCodeBench Instruct | 45.9% | — |
| LiveBench Coding | 63.4% | — |
| BigCodeBench Complete | 59.9% | — |
| CadEval | 30% | — |

## Agentic & Tool Use

- Gemini 2.0 Flash (Feb 2025): 28.0 (#85)
- GLM-4.6V: —

| Benchmark | Gemini 2.0 Flash (Feb 2025) | GLM-4.6V |
|---|---|---|
| TheAgentCompany | 11.4% | — |

## Reasoning

- Gemini 2.0 Flash (Feb 2025): 15.2 (#308)
- GLM-4.6V: 26.5 (#117)

| Benchmark | Gemini 2.0 Flash (Feb 2025) | GLM-4.6V |
|---|---|---|
| LMArena Hard Prompts | 1346 | 1368 |
| ARC-AGI-2 | 1.3% | — |
| SimpleBench | 31.1% | — |
| Kagi LLM Benchmark | 37.8% | — |
| EnigmaEval | 1.1% | — |
| LiveBench Reasoning | 78.2% | — |
| DTBench | 63.2% | — |
| LiveBench Data Analysis | 69.4% | — |
| Epoch Capabilities Index | 135.36 | — |
| LiveBench | 66.9% | — |

## Math

- Gemini 2.0 Flash (Feb 2025): 36.1 (#127)
- GLM-4.6V: —

| Benchmark | Gemini 2.0 Flash (Feb 2025) | GLM-4.6V |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 57.8% | — |
| Omni-MATH | 45.9% | — |
| LiveBench Math | 75.8% | — |
| LMArena Math | 1351 | — |
| MATH Level 5 | 82.2% | — |
| FrontierMath (Feb 2025 set) | 1.7% | — |

## Knowledge

- Gemini 2.0 Flash (Feb 2025): 32.0 (#207)
- GLM-4.6V: 37.4 (#148)

| Benchmark | Gemini 2.0 Flash (Feb 2025) | GLM-4.6V |
|---|---|---|
| LMArena Expert | 1340 | 1372 |
| GPQA Diamond | 64.1% | — |
| Humanity's Last Exam | 6.6% | — |
| MMLU-Pro | 73.7% | — |
| Confabulations | 12.4% | — |
| GPQA (HELM) | 55.6% | — |
| MMLU | 79.7% | — |

## Multimodal

- Gemini 2.0 Flash (Feb 2025): 35.9 (#74)
- GLM-4.6V: 34.2 (#83)

| Benchmark | Gemini 2.0 Flash (Feb 2025) | GLM-4.6V |
|---|---|---|
| LMArena Vision | 1158 | 1164 |
| GeoBench | 77% | — |

## Multilingual

- Gemini 2.0 Flash (Feb 2025): 47.6 (#144)
- GLM-4.6V: 48.8 (#135)

| Benchmark | Gemini 2.0 Flash (Feb 2025) | GLM-4.6V |
|---|---|---|
| LMArena Non-English | 1342 | 1359 |
| LMArena Chinese | 1373 | 1426 |
| LMArena Russian | 1351 | 1341 |
| LMArena French | 1390 | — |
| LMArena German | 1354 | — |
| LMArena Japanese | 1293 | — |
| LMArena Korean | 1314 | — |
| LMArena Spanish | 1363 | — |

## Instruction Following

- Gemini 2.0 Flash (Feb 2025): 74.6 (#91)
- GLM-4.6V: 71.6 (#145)

| Benchmark | Gemini 2.0 Flash (Feb 2025) | GLM-4.6V |
|---|---|---|
| LMArena Instruction Following | 1336 | 1351 |
| LiveBench Instruction Following | 85.8% | — |
| IFEval | 84.1% | — |

## Long Context

- Gemini 2.0 Flash (Feb 2025): 38.1 (#198)
- GLM-4.6V: 41.3 (#138)

| Benchmark | Gemini 2.0 Flash (Feb 2025) | GLM-4.6V |
|---|---|---|
| LMArena Longer Query | 1345 | 1358 |
| Fiction.LiveBench | 61.1% | — |

## Writing & Preference

- Gemini 2.0 Flash (Feb 2025): 49.8 (#184)
- GLM-4.6V: 56.8 (#132)

| Benchmark | Gemini 2.0 Flash (Feb 2025) | GLM-4.6V |
|---|---|---|
| LMArena Text | 1354 | 1377 |
| LMArena Creative Writing | 1340 | 1347 |
| LMArena Multi-Turn | 1350 | 1359 |
| Short-Story Creative Writing | 73.8% | — |
| EQ-Bench Creative Writing | 1128 | — |
| WildBench | 80% | — |
| LiveBench Language | 51.3% | — |

## FAQ

### Is Gemini 2.0 Flash (Feb 2025) better than GLM-4.6V?

GLM-4.6V is the stronger model overall, scoring 40.9 to 34.8 on the Noometry Index.

### Is Gemini 2.0 Flash (Feb 2025) or GLM-4.6V better for coding?

GLM-4.6V scores higher on coding benchmarks: 40.2 versus 28.2 in the Noometry coding category.

### How many benchmarks do Gemini 2.0 Flash (Feb 2025) and GLM-4.6V share?

12 benchmarks have published results for both models. Gemini 2.0 Flash (Feb 2025) has 54 scored results on Noometry and GLM-4.6V has 12.