# Gemini 2.5 Flash vs GLM-5.3

> GLM-5.3 is the stronger model overall, scoring 54.8 to 39.3 on the Noometry Index. Gemini 2.5 Flash costs 2.5× less per token, which makes it the better buy when GLM-5.3's lead doesn't matter for your workload.

- Canonical page: https://noometry.com/compare/gemini-2-5-flash-vs-glm-5-3
- Last updated: 2026-10-10
- Shared benchmarks: 26

## Summary

- They share 26 benchmarks with published results for both. Gemini 2.5 Flash scores higher in 1 category and GLM-5.3 in 8 categories; 9 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where GLM-5.3 leads 46.1 to 18.1.
- The biggest single-benchmark swing is WeirdML: 41.9% for Gemini 2.5 Flash and 75.4% for GLM-5.3.
- Gemini 2.5 Flash is cheaper at $0.30 / $2.50 per million input/output tokens, against $1.40 / $4.40 for GLM-5.3.
- Gemini 2.5 Flash accepts more context: 1.05M tokens versus 1M.
- GLM-5.3 has downloadable open weights; the other is API-only.

## Snapshot

| | Gemini 2.5 Flash | GLM-5.3 |
|---|---|---|
| Provider | Google | Z.ai (Zhipu) |
| Noometry Index | 39.3 | 54.8 |
| Rank | 170 | 26 |
| Context | 1.05M | 1M |
| Input $/M | $0.30 | $1.40 |
| Output $/M | $2.50 | $4.40 |
| Weights | Proprietary | Open |

## Coding

- Gemini 2.5 Flash: 35.8 (#220)
- GLM-5.3: 59.5 (#14)

| Benchmark | Gemini 2.5 Flash | GLM-5.3 |
|---|---|---|
| WeirdML | 41.9% | 75.4% |
| LMArena Coding | 1424 | 1496 |
| ALE-Bench | 661.88 | 1,317 |
| DeepSWE | — | 69% |
| FrontierCode | — | 40.1% |
| SWE-bench Verified (bash only) | 28.7% | — |
| Aider Polyglot | 55.1% | — |
| CursorBench | — | 42.6% |
| LMArena WebDev | — | 1622 |
| FrontierSWE | — | 30.2% |
| SciCode | — | 59% |

## Agentic & Tool Use

- Gemini 2.5 Flash: 30.8 (#74)
- GLM-5.3: 36.4 (#38)

| Benchmark | Gemini 2.5 Flash | GLM-5.3 |
|---|---|---|
| Vending-Bench 2 | 548.84 | 8,164 |
| Terminal-Bench | 17.1% | — |
| APEX-Agents | — | 56.6% |
| Berkeley Function Calling Leaderboard | 56.2% | — |
| TheAgentCompany | 41.1% | — |
| BALROG | 33.5% | — |

## Reasoning

- Gemini 2.5 Flash: 18.1 (#286)
- GLM-5.3: 46.1 (#46)

| Benchmark | Gemini 2.5 Flash | GLM-5.3 |
|---|---|---|
| CritPt | 1.1% | 19.1% |
| LMArena Hard Prompts | 1422 | 1489 |
| DTBench | 76.5% | 87.7% |
| LMCA | 27.5% | 55.5% |
| Epoch Capabilities Index | 143.03 | 155.61 |
| ARC-AGI-2 | 2.5% | — |
| SimpleBench | 41.2% | — |
| Kagi LLM Benchmark | 56.8% | — |
| NYT Connections (extended) | — | 74.2% |
| ARC-AGI-1 | 33.3% | — |
| Chess Puzzles | — | 21% |
| EnigmaEval | 2.7% | — |
| Mystery Game Puzzles | — | 33% |
| Bench to the Future 3 | — | 0.15 |
| ForecastBench | 60.6 | — |

## Math

- Gemini 2.5 Flash: 39.9 (#98)
- GLM-5.3: 62.3 (#33)

| Benchmark | Gemini 2.5 Flash | GLM-5.3 |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 73.1% | 91.1% |
| LMArena Math | 1415 | 1489 |
| FrontierMath (Tiers 1-3) | — | 68.8% |
| FrontierMath Tier 4 | — | 29.3% |
| ProofBench | — | 49% |
| Omni-MATH | 38.5% | — |
| FrontierMath (Feb 2025 set) | 4.8% | — |
| FrontierMath Tier 4 (v1) | 4.2% | — |

## Knowledge

- Gemini 2.5 Flash: 36.4 (#168)
- GLM-5.3: 58.3 (#37)

| Benchmark | Gemini 2.5 Flash | GLM-5.3 |
|---|---|---|
| LMArena Expert | 1426 | 1516 |
| GPQA Diamond | — | 90.9% |
| Humanity's Last Exam | 12.1% | — |
| SimpleQA Verified | — | 41% |
| MMLU-Pro | 63.9% | — |
| Confabulations | 16.8% | — |
| Vectara Hallucination Rate | 7.8% | — |
| GPQA (HELM) | 39% | — |

## Multimodal

- Gemini 2.5 Flash: 41.8 (#32)
- GLM-5.3: —

| Benchmark | Gemini 2.5 Flash | GLM-5.3 |
|---|---|---|
| LMArena Vision | 1253 | — |
| GeoBench | 76% | — |
| VPCT | 46.2% | — |
| SpatialViz-Bench | 36.9% | — |

## Multilingual

- Gemini 2.5 Flash: 52.3 (#88)
- GLM-5.3: 55.7 (#28)

| Benchmark | Gemini 2.5 Flash | GLM-5.3 |
|---|---|---|
| LMArena Non-English | 1409 | 1457 |
| LMArena Chinese | 1450 | 1528 |
| LMArena French | 1433 | 1499 |
| LMArena German | 1418 | 1499 |
| LMArena Japanese | 1405 | 1453 |
| LMArena Korean | 1385 | 1472 |
| LMArena Russian | 1415 | 1463 |
| LMArena Spanish | 1421 | 1460 |

## Instruction Following

- Gemini 2.5 Flash: 75.7 (#54)
- GLM-5.3: 77.5 (#23)

| Benchmark | Gemini 2.5 Flash | GLM-5.3 |
|---|---|---|
| LMArena Instruction Following | 1405 | 1477 |
| IFEval | 89.8% | — |

## Long Context

- Gemini 2.5 Flash: 47.5 (#17)
- GLM-5.3: 45.4 (#41)

| Benchmark | Gemini 2.5 Flash | GLM-5.3 |
|---|---|---|
| LMArena Longer Query | 1419 | 1482 |
| Fiction.LiveBench | 77.8% | — |

## Writing & Preference

- Gemini 2.5 Flash: 53.8 (#157)
- GLM-5.3: 75.7 (#6)

| Benchmark | Gemini 2.5 Flash | GLM-5.3 |
|---|---|---|
| LMArena Text | 1417 | 1471 |
| LMArena Creative Writing | 1400 | 1457 |
| EQ-Bench Creative Writing | 1137 | 2075 |
| LMArena Multi-Turn | 1408 | 1472 |
| Short-Story Creative Writing | 76.5% | — |
| WildBench | 81.7% | — |

## FAQ

### Is Gemini 2.5 Flash better than GLM-5.3?

GLM-5.3 is the stronger model overall, scoring 54.8 to 39.3 on the Noometry Index. Gemini 2.5 Flash costs 2.5× less per token, which makes it the better buy when GLM-5.3's lead doesn't matter for your workload.

### Which is cheaper, Gemini 2.5 Flash or GLM-5.3?

Gemini 2.5 Flash is cheaper. It lists at $0.30 per million input tokens and $2.50 per million output tokens; GLM-5.3 lists at $1.40 and $4.40.

### Is Gemini 2.5 Flash or GLM-5.3 better for coding?

GLM-5.3 scores higher on coding benchmarks: 59.5 versus 35.8 in the Noometry coding category.

### Which has the bigger context window?

Gemini 2.5 Flash does, with 1.05M tokens against 1M.

### How many benchmarks do Gemini 2.5 Flash and GLM-5.3 share?

26 benchmarks have published results for both models. Gemini 2.5 Flash has 54 scored results on Noometry and GLM-5.3 has 42.