# Gemini 2.0 Flash (Feb 2025) vs GLM-4.5V

> GLM-4.5V is the stronger model overall, scoring 39.2 to 34.8 on the Noometry Index.

- Canonical page: https://noometry.com/compare/gemini-2-0-flash-vs-glm-4-5v
- Last updated: 2026-10-10
- Shared benchmarks: 15

## Summary

- They share 15 benchmarks with published results for both. Gemini 2.0 Flash (Feb 2025) scores higher in 4 categories and GLM-4.5V in 5 categories; 9 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where GLM-4.5V leads 26.5 to 15.2.
- The biggest single-benchmark swing is Kagi LLM Benchmark: 37.8% for Gemini 2.0 Flash (Feb 2025) and 59.8% for GLM-4.5V.
- GLM-4.5V has downloadable open weights; the other is API-only.

## Snapshot

| | Gemini 2.0 Flash (Feb 2025) | GLM-4.5V |
|---|---|---|
| Provider | Google | Z.ai (Zhipu) |
| Noometry Index | 34.8 | 39.2 |
| Rank | 223 | 158 |
| Context | — | 64K |
| Input $/M | — | $0.60 |
| Output $/M | — | $1.80 |
| Weights | Proprietary | Open |

## Coding

- Gemini 2.0 Flash (Feb 2025): 28.2 (#308)
- GLM-4.5V: 38.9 (#152)

| Benchmark | Gemini 2.0 Flash (Feb 2025) | GLM-4.5V |
|---|---|---|
| LMArena Coding | 1351 | 1347 |
| 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-4.5V: —

| Benchmark | Gemini 2.0 Flash (Feb 2025) | GLM-4.5V |
|---|---|---|
| TheAgentCompany | 11.4% | — |

## Reasoning

- Gemini 2.0 Flash (Feb 2025): 15.2 (#308)
- GLM-4.5V: 26.5 (#118)

| Benchmark | Gemini 2.0 Flash (Feb 2025) | GLM-4.5V |
|---|---|---|
| Kagi LLM Benchmark | 37.8% | 59.8% |
| LMArena Hard Prompts | 1346 | 1335 |
| ARC-AGI-2 | 1.3% | — |
| SimpleBench | 31.1% | — |
| 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-4.5V: 34.7 (#157)

| Benchmark | Gemini 2.0 Flash (Feb 2025) | GLM-4.5V |
|---|---|---|
| LMArena Math | 1351 | 1353 |
| OTIS Mock AIME 2024-2025 | 57.8% | — |
| Omni-MATH | 45.9% | — |
| LiveBench Math | 75.8% | — |
| MATH Level 5 | 82.2% | — |
| FrontierMath (Feb 2025 set) | 1.7% | — |

## Knowledge

- Gemini 2.0 Flash (Feb 2025): 32.0 (#207)
- GLM-4.5V: 36.8 (#155)

| Benchmark | Gemini 2.0 Flash (Feb 2025) | GLM-4.5V |
|---|---|---|
| LMArena Expert | 1340 | 1353 |
| 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-4.5V: 33.6 (#86)

| Benchmark | Gemini 2.0 Flash (Feb 2025) | GLM-4.5V |
|---|---|---|
| LMArena Vision | 1158 | 1154 |
| GeoBench | 77% | — |

## Multilingual

- Gemini 2.0 Flash (Feb 2025): 47.6 (#144)
- GLM-4.5V: 44.9 (#172)

| Benchmark | Gemini 2.0 Flash (Feb 2025) | GLM-4.5V |
|---|---|---|
| LMArena Non-English | 1342 | 1304 |
| LMArena Chinese | 1373 | 1338 |
| LMArena Russian | 1351 | 1299 |
| LMArena Spanish | 1363 | 1335 |
| LMArena French | 1390 | — |
| LMArena German | 1354 | — |
| LMArena Japanese | 1293 | — |
| LMArena Korean | 1314 | — |

## Instruction Following

- Gemini 2.0 Flash (Feb 2025): 74.6 (#91)
- GLM-4.5V: 69.4 (#170)

| Benchmark | Gemini 2.0 Flash (Feb 2025) | GLM-4.5V |
|---|---|---|
| LMArena Instruction Following | 1336 | 1311 |
| LiveBench Instruction Following | 85.8% | — |
| IFEval | 84.1% | — |

## Long Context

- Gemini 2.0 Flash (Feb 2025): 38.1 (#198)
- GLM-4.5V: 39.6 (#166)

| Benchmark | Gemini 2.0 Flash (Feb 2025) | GLM-4.5V |
|---|---|---|
| LMArena Longer Query | 1345 | 1305 |
| Fiction.LiveBench | 61.1% | — |

## Writing & Preference

- Gemini 2.0 Flash (Feb 2025): 49.8 (#184)
- GLM-4.5V: 52.7 (#162)

| Benchmark | Gemini 2.0 Flash (Feb 2025) | GLM-4.5V |
|---|---|---|
| LMArena Text | 1354 | 1333 |
| LMArena Creative Writing | 1340 | 1295 |
| LMArena Multi-Turn | 1350 | 1333 |
| 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-4.5V?

GLM-4.5V is the stronger model overall, scoring 39.2 to 34.8 on the Noometry Index.

### Is Gemini 2.0 Flash (Feb 2025) or GLM-4.5V better for coding?

GLM-4.5V scores higher on coding benchmarks: 38.9 versus 28.2 in the Noometry coding category.

### How many benchmarks do Gemini 2.0 Flash (Feb 2025) and GLM-4.5V share?

15 benchmarks have published results for both models. Gemini 2.0 Flash (Feb 2025) has 54 scored results on Noometry and GLM-4.5V has 15.