# Gemini 2.5 Flash vs GLM-4.5-Air

> Gemini 2.5 Flash and GLM-4.5-Air score almost the same on the Noometry Index (39.3 vs 38.9), so choose on price, context window or the category you care about most.

- Canonical page: https://noometry.com/compare/gemini-2-5-flash-vs-glm-4-5-air
- Last updated: 2026-10-12
- Shared benchmarks: 26

## Summary

- They share 26 benchmarks with published results for both. Gemini 2.5 Flash scores higher in 6 categories and GLM-4.5-Air in 2 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in instruction following, where Gemini 2.5 Flash leads 75.7 to 69.6.
- The biggest single-benchmark swing is GPQA (HELM): 39% for Gemini 2.5 Flash and 59.4% for GLM-4.5-Air.
- GLM-4.5-Air is cheaper at $0.20 / $1.10 per million input/output tokens, against $0.30 / $2.50 for Gemini 2.5 Flash.
- Gemini 2.5 Flash accepts more context: 1.05M tokens versus 131K.
- GLM-4.5-Air has downloadable open weights; the other is API-only.

## Snapshot

| | Gemini 2.5 Flash | GLM-4.5-Air |
|---|---|---|
| Provider | Google | Z.ai (Zhipu) |
| Noometry Index | 39.3 | 38.9 |
| Rank | 170 | 177 |
| Context | 1.05M | 131K |
| Input $/M | $0.30 | $0.20 |
| Output $/M | $2.50 | $1.10 |
| Weights | Proprietary | Open |

## Coding

- Gemini 2.5 Flash: 35.8 (#220)
- GLM-4.5-Air: 33.3 (#259)

| Benchmark | Gemini 2.5 Flash | GLM-4.5-Air |
|---|---|---|
| LMArena Coding | 1424 | 1397 |
| SWE-bench Verified (bash only) | 28.7% | — |
| Aider Polyglot | 55.1% | — |
| GSO | — | 2.9% |
| WeirdML | 41.9% | — |
| ALE-Bench | 661.88 | — |

## Agentic & Tool Use

- Gemini 2.5 Flash: 30.8 (#74)
- GLM-4.5-Air: —

| Benchmark | Gemini 2.5 Flash | GLM-4.5-Air |
|---|---|---|
| Terminal-Bench | 17.1% | — |
| Berkeley Function Calling Leaderboard | 56.2% | — |
| TheAgentCompany | 41.1% | — |
| BALROG | 33.5% | — |
| Vending-Bench 2 | 548.84 | — |

## Reasoning

- Gemini 2.5 Flash: 18.1 (#286)
- GLM-4.5-Air: 24.1 (#166)

| Benchmark | Gemini 2.5 Flash | GLM-4.5-Air |
|---|---|---|
| Kagi LLM Benchmark | 56.8% | 43% |
| LMArena Hard Prompts | 1422 | 1379 |
| ForecastBench | 60.6 | 59.2 |
| ARC-AGI-2 | 2.5% | — |
| SimpleBench | 41.2% | — |
| ARC-AGI-1 | 33.3% | — |
| CritPt | 1.1% | — |
| EnigmaEval | 2.7% | — |
| DTBench | 76.5% | — |
| LMCA | 27.5% | — |
| Epoch Capabilities Index | 143.03 | — |

## Math

- Gemini 2.5 Flash: 39.9 (#98)
- GLM-4.5-Air: 36.2 (#170)

| Benchmark | Gemini 2.5 Flash | GLM-4.5-Air |
|---|---|---|
| Omni-MATH | 38.5% | 39.1% |
| LMArena Math | 1415 | 1396 |
| OTIS Mock AIME 2024-2025 | 73.1% | — |
| FrontierMath (Feb 2025 set) | 4.8% | — |
| FrontierMath Tier 4 (v1) | 4.2% | — |

## Knowledge

- Gemini 2.5 Flash: 36.4 (#168)
- GLM-4.5-Air: 35.0 (#191)

| Benchmark | Gemini 2.5 Flash | GLM-4.5-Air |
|---|---|---|
| Humanity's Last Exam | 12.1% | 8.1% |
| MMLU-Pro | 63.9% | 76.2% |
| Vectara Hallucination Rate | 7.8% | 9.3% |
| GPQA (HELM) | 39% | 59.4% |
| LMArena Expert | 1426 | 1370 |
| Confabulations | 16.8% | — |

## Multimodal

- Gemini 2.5 Flash: 41.8 (#32)
- GLM-4.5-Air: —

| Benchmark | Gemini 2.5 Flash | GLM-4.5-Air |
|---|---|---|
| LMArena Vision | 1253 | — |
| GeoBench | 76% | — |
| VPCT | 46.2% | — |
| SpatialViz-Bench | 36.9% | — |

## Multilingual

- Gemini 2.5 Flash: 52.3 (#88)
- GLM-4.5-Air: 49.1 (#135)

| Benchmark | Gemini 2.5 Flash | GLM-4.5-Air |
|---|---|---|
| LMArena Non-English | 1409 | 1366 |
| LMArena Chinese | 1450 | 1426 |
| LMArena French | 1433 | 1399 |
| LMArena German | 1418 | 1377 |
| LMArena Japanese | 1405 | 1348 |
| LMArena Korean | 1385 | 1308 |
| LMArena Russian | 1415 | 1373 |
| LMArena Spanish | 1421 | 1386 |

## Instruction Following

- Gemini 2.5 Flash: 75.7 (#54)
- GLM-4.5-Air: 69.6 (#171)

| Benchmark | Gemini 2.5 Flash | GLM-4.5-Air |
|---|---|---|
| IFEval | 89.8% | 81.2% |
| LMArena Instruction Following | 1405 | 1354 |

## Long Context

- Gemini 2.5 Flash: 47.5 (#17)
- GLM-4.5-Air: 41.6 (#135)

| Benchmark | Gemini 2.5 Flash | GLM-4.5-Air |
|---|---|---|
| LMArena Longer Query | 1419 | 1366 |
| Fiction.LiveBench | 77.8% | — |

## Writing & Preference

- Gemini 2.5 Flash: 53.8 (#157)
- GLM-4.5-Air: 55.9 (#139)

| Benchmark | Gemini 2.5 Flash | GLM-4.5-Air |
|---|---|---|
| LMArena Text | 1417 | 1384 |
| LMArena Creative Writing | 1400 | 1343 |
| WildBench | 81.7% | 78.9% |
| LMArena Multi-Turn | 1408 | 1371 |
| Short-Story Creative Writing | 76.5% | — |
| EQ-Bench Creative Writing | 1137 | — |

## FAQ

### Is Gemini 2.5 Flash better than GLM-4.5-Air?

Gemini 2.5 Flash and GLM-4.5-Air score almost the same on the Noometry Index (39.3 vs 38.9), so choose on price, context window or the category you care about most.

### Which is cheaper, Gemini 2.5 Flash or GLM-4.5-Air?

GLM-4.5-Air is cheaper. It lists at $0.20 per million input tokens and $1.10 per million output tokens; Gemini 2.5 Flash lists at $0.30 and $2.50.

### Is Gemini 2.5 Flash or GLM-4.5-Air better for coding?

Gemini 2.5 Flash scores higher on coding benchmarks: 35.8 versus 33.3 in the Noometry coding category.

### Which has the bigger context window?

Gemini 2.5 Flash does, with 1.05M tokens against 131K.

### How many benchmarks do Gemini 2.5 Flash and GLM-4.5-Air share?

26 benchmarks have published results for both models. Gemini 2.5 Flash has 54 scored results on Noometry and GLM-4.5-Air has 27.