# Gemini 2.0 Flash (Feb 2025) vs GLM-5.3-Flash

> GLM-5.3-Flash is the stronger model overall, scoring 49.6 to 34.8 on the Noometry Index.

- Canonical page: https://noometry.com/compare/gemini-2-0-flash-vs-glm-5-3-flash
- Last updated: 2026-10-10
- Shared benchmarks: 21

## Summary

- They share 21 benchmarks with published results for both. Gemini 2.0 Flash (Feb 2025) scores higher in 0 categories and GLM-5.3-Flash in 10 categories; 10 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where GLM-5.3-Flash leads 58.4 to 32.0.
- The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 57.8% for Gemini 2.0 Flash (Feb 2025) and 93.9% for GLM-5.3-Flash.
- GLM-5.3-Flash has downloadable open weights; the other is API-only.

## Snapshot

| | Gemini 2.0 Flash (Feb 2025) | GLM-5.3-Flash |
|---|---|---|
| Provider | Google | Z.ai (Zhipu) |
| Noometry Index | 34.8 | 49.6 |
| Rank | 223 | 45 |
| Context | — | 1M |
| Input $/M | — | $0.15 |
| Output $/M | — | $0.50 |
| Weights | Proprietary | Open |

## Coding

- Gemini 2.0 Flash (Feb 2025): 28.2 (#308)
- GLM-5.3-Flash: 53.7 (#26)

| Benchmark | Gemini 2.0 Flash (Feb 2025) | GLM-5.3-Flash |
|---|---|---|
| LMArena Coding | 1351 | 1506 |
| DeepSWE | — | 63.4% |
| FrontierCode | — | 31.8% |
| SWE-bench Verified (bash only) | 13.5% | — |
| Aider Polyglot | 38.2% | — |
| LMArena WebDev | — | 1614 |
| SciCode | — | 51.6% |
| WeirdML | 25.8% | — |
| BigCodeBench Instruct | 45.9% | — |
| LiveBench Coding | 63.4% | — |
| BigCodeBench Complete | 59.9% | — |
| CadEval | 30% | — |
| ALE-Bench | — | 303.55 |

## Agentic & Tool Use

- Gemini 2.0 Flash (Feb 2025): 28.0 (#85)
- GLM-5.3-Flash: 34.3 (#41)

| Benchmark | Gemini 2.0 Flash (Feb 2025) | GLM-5.3-Flash |
|---|---|---|
| APEX-Agents | — | 52.8% |
| TheAgentCompany | 11.4% | — |
| GDP.pdf | — | 14% |

## Reasoning

- Gemini 2.0 Flash (Feb 2025): 15.2 (#308)
- GLM-5.3-Flash: 31.7 (#69)

| Benchmark | Gemini 2.0 Flash (Feb 2025) | GLM-5.3-Flash |
|---|---|---|
| LMArena Hard Prompts | 1346 | 1490 |
| Epoch Capabilities Index | 135.36 | 151.9 |
| ARC-AGI-2 | 1.3% | — |
| SimpleBench | 31.1% | — |
| Kagi LLM Benchmark | 37.8% | — |
| CritPt | — | 15.4% |
| Chess Puzzles | — | 14% |
| EnigmaEval | 1.1% | — |
| LiveBench Reasoning | 78.2% | — |
| Mystery Game Puzzles | — | 8% |
| DTBench | 63.2% | — |
| LiveBench Data Analysis | 69.4% | — |
| Surface Evolver Bench | — | 52.5% |
| Bench to the Future 3 | — | 0.15 |
| LiveBench | 66.9% | — |

## Math

- Gemini 2.0 Flash (Feb 2025): 36.1 (#127)
- GLM-5.3-Flash: 53.1 (#38)

| Benchmark | Gemini 2.0 Flash (Feb 2025) | GLM-5.3-Flash |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 57.8% | 93.9% |
| LMArena Math | 1351 | 1499 |
| FrontierMath (Tiers 1-3) | — | 55.8% |
| FrontierMath Tier 4 | — | 17.1% |
| ProofBench | — | 21% |
| 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-5.3-Flash: 58.4 (#33)

| Benchmark | Gemini 2.0 Flash (Feb 2025) | GLM-5.3-Flash |
|---|---|---|
| GPQA Diamond | 64.1% | 90.2% |
| LMArena Expert | 1340 | 1512 |
| 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-5.3-Flash: 42.6 (#25)

| Benchmark | Gemini 2.0 Flash (Feb 2025) | GLM-5.3-Flash |
|---|---|---|
| LMArena Vision | 1158 | 1304 |
| GeoBench | 77% | — |

## Multilingual

- Gemini 2.0 Flash (Feb 2025): 47.6 (#144)
- GLM-5.3-Flash: 56.2 (#24)

| Benchmark | Gemini 2.0 Flash (Feb 2025) | GLM-5.3-Flash |
|---|---|---|
| LMArena Non-English | 1342 | 1462 |
| LMArena Chinese | 1373 | 1529 |
| LMArena French | 1390 | 1495 |
| LMArena German | 1354 | 1457 |
| LMArena Japanese | 1293 | 1420 |
| LMArena Korean | 1314 | 1443 |
| LMArena Russian | 1351 | 1472 |
| LMArena Spanish | 1363 | 1471 |

## Instruction Following

- Gemini 2.0 Flash (Feb 2025): 74.6 (#91)
- GLM-5.3-Flash: 77.8 (#17)

| Benchmark | Gemini 2.0 Flash (Feb 2025) | GLM-5.3-Flash |
|---|---|---|
| LMArena Instruction Following | 1336 | 1480 |
| LiveBench Instruction Following | 85.8% | — |
| IFEval | 84.1% | — |

## Long Context

- Gemini 2.0 Flash (Feb 2025): 38.1 (#198)
- GLM-5.3-Flash: 45.3 (#41)

| Benchmark | Gemini 2.0 Flash (Feb 2025) | GLM-5.3-Flash |
|---|---|---|
| LMArena Longer Query | 1345 | 1479 |
| Fiction.LiveBench | 61.1% | — |

## Writing & Preference

- Gemini 2.0 Flash (Feb 2025): 49.8 (#184)
- GLM-5.3-Flash: 65.4 (#49)

| Benchmark | Gemini 2.0 Flash (Feb 2025) | GLM-5.3-Flash |
|---|---|---|
| LMArena Text | 1354 | 1471 |
| LMArena Creative Writing | 1340 | 1440 |
| LMArena Multi-Turn | 1350 | 1471 |
| 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-5.3-Flash?

GLM-5.3-Flash is the stronger model overall, scoring 49.6 to 34.8 on the Noometry Index.

### Is Gemini 2.0 Flash (Feb 2025) or GLM-5.3-Flash better for coding?

GLM-5.3-Flash scores higher on coding benchmarks: 53.7 versus 28.2 in the Noometry coding category.

### How many benchmarks do Gemini 2.0 Flash (Feb 2025) and GLM-5.3-Flash share?

21 benchmarks have published results for both models. Gemini 2.0 Flash (Feb 2025) has 54 scored results on Noometry and GLM-5.3-Flash has 36.