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

> GLM-4.5 is the stronger model overall, scoring 42.0 to 35.1 on the Noometry Index.

- Canonical page: https://noometry.com/compare/gemini-2-0-flash-vs-glm-4-5
- Last updated: 2026-10-10
- Shared benchmarks: 25

## Summary

- They share 25 benchmarks with published results for both. Gemini 2.0 Flash (Feb 2025) scores higher in 1 category and GLM-4.5 in 7 categories; 6 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where GLM-4.5 leads 28.6 to 15.2.
- The biggest single-benchmark swing is SWE-bench Verified (bash only): 13.5% for Gemini 2.0 Flash (Feb 2025) and 54.2% for GLM-4.5.
- GLM-4.5 has downloadable open weights; the other is API-only.

## Snapshot

| | Gemini 2.0 Flash (Feb 2025) | GLM-4.5 |
|---|---|---|
| Provider | Google | Z.ai (Zhipu) |
| Noometry Index | 35.1 | 42.0 |
| Rank | 228 | 122 |
| Context | — | 131K |
| Input $/M | — | $0.60 |
| Output $/M | — | $2.20 |
| Weights | Proprietary | Open |

## Coding

- Gemini 2.0 Flash (Feb 2025): 28.4 (#315)
- GLM-4.5: 41.4 (#125)

| Benchmark | Gemini 2.0 Flash (Feb 2025) | GLM-4.5 |
|---|---|---|
| SWE-bench Verified (bash only) | 13.5% | 54.2% |
| WeirdML | 25.8% | 40.6% |
| LMArena Coding | 1350 | 1434 |
| Aider Polyglot | 38.2% | — |
| BigCodeBench Instruct | 45.9% | — |
| LiveBench Coding | 63.4% | — |
| BigCodeBench Complete | 59.9% | — |
| CadEval | 30% | — |
| ALE-Bench | — | 344.82 |
| AlgoTune | — | 1.52 |

## Agentic & Tool Use

- Gemini 2.0 Flash (Feb 2025): 28.1 (#92)
- GLM-4.5: —

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

## Reasoning

- Gemini 2.0 Flash (Feb 2025): 15.2 (#318)
- GLM-4.5: 28.6 (#100)

| Benchmark | Gemini 2.0 Flash (Feb 2025) | GLM-4.5 |
|---|---|---|
| Kagi LLM Benchmark | 37.8% | 57.9% |
| LMArena Hard Prompts | 1346 | 1429 |
| 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): 37.9 (#146)
- GLM-4.5: 39.0 (#116)

| Benchmark | Gemini 2.0 Flash (Feb 2025) | GLM-4.5 |
|---|---|---|
| LMArena Math | 1352 | 1427 |
| 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 (#213)
- GLM-4.5: 35.9 (#179)

| Benchmark | Gemini 2.0 Flash (Feb 2025) | GLM-4.5 |
|---|---|---|
| Humanity's Last Exam | 6.6% | 8.3% |
| Confabulations | 12.4% | 11.3% |
| LMArena Expert | 1339 | 1433 |
| GPQA Diamond | 64.1% | — |
| MMLU-Pro | 73.7% | — |
| GPQA (HELM) | 55.6% | — |
| MMLU | 79.7% | — |

## Multimodal

- Gemini 2.0 Flash (Feb 2025): 36.5 (#79)
- GLM-4.5: —

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

## Multilingual

- Gemini 2.0 Flash (Feb 2025): 47.4 (#149)
- GLM-4.5: 52.8 (#77)

| Benchmark | Gemini 2.0 Flash (Feb 2025) | GLM-4.5 |
|---|---|---|
| LMArena Non-English | 1342 | 1417 |
| LMArena Chinese | 1373 | 1465 |
| LMArena French | 1391 | 1418 |
| LMArena German | 1353 | 1407 |
| LMArena Japanese | 1294 | 1415 |
| LMArena Korean | 1313 | 1380 |
| LMArena Russian | 1351 | 1414 |
| LMArena Spanish | 1363 | 1454 |

## Instruction Following

- Gemini 2.0 Flash (Feb 2025): 74.4 (#97)
- GLM-4.5: 74.1 (#104)

| Benchmark | Gemini 2.0 Flash (Feb 2025) | GLM-4.5 |
|---|---|---|
| LMArena Instruction Following | 1336 | 1404 |
| LiveBench Instruction Following | 85.8% | — |
| IFEval | 84.1% | — |

## Long Context

- Gemini 2.0 Flash (Feb 2025): 38.1 (#203)
- GLM-4.5: 38.2 (#201)

| Benchmark | Gemini 2.0 Flash (Feb 2025) | GLM-4.5 |
|---|---|---|
| Fiction.LiveBench | 61.1% | 58.3% |
| LMArena Longer Query | 1344 | 1412 |

## Writing & Preference

- Gemini 2.0 Flash (Feb 2025): 49.5 (#190)
- GLM-4.5: 57.5 (#127)

| Benchmark | Gemini 2.0 Flash (Feb 2025) | GLM-4.5 |
|---|---|---|
| LMArena Text | 1354 | 1430 |
| LMArena Creative Writing | 1340 | 1395 |
| Short-Story Creative Writing | 73.8% | 73.4% |
| EQ-Bench Creative Writing | 1128 | 1343 |
| LMArena Multi-Turn | 1350 | 1415 |
| WildBench | 80% | — |
| LiveBench Language | 51.3% | — |

## FAQ

### Is Gemini 2.0 Flash (Feb 2025) better than GLM-4.5?

GLM-4.5 is the stronger model overall, scoring 42.0 to 35.1 on the Noometry Index.

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

GLM-4.5 scores higher on coding benchmarks: 41.4 versus 28.4 in the Noometry coding category.

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

25 benchmarks have published results for both models. Gemini 2.0 Flash (Feb 2025) has 54 scored results on Noometry and GLM-4.5 has 27.