# Gemini 2.5 Pro vs GLM-4.5-Air

> Gemini 2.5 Pro is the stronger model overall, scoring 45.0 to 38.9 on the Noometry Index. GLM-4.5-Air costs 8.1× less per token, which makes it the better buy when Gemini 2.5 Pro's lead doesn't matter for your workload.

- Canonical page: https://noometry.com/compare/gemini-2-5-pro-vs-glm-4-5-air
- Last updated: 2026-10-12
- Shared benchmarks: 27

## Summary

- They share 27 benchmarks with published results for both. Gemini 2.5 Pro scores higher in 7 categories and GLM-4.5-Air in 1 category; 8 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where Gemini 2.5 Pro leads 56.0 to 35.0.
- The biggest single-benchmark swing is Kagi LLM Benchmark: 70.3% for Gemini 2.5 Pro and 43% for GLM-4.5-Air.
- GLM-4.5-Air is cheaper at $0.20 / $1.10 per million input/output tokens, against $1.25 / $10 for Gemini 2.5 Pro.
- Gemini 2.5 Pro 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 Pro | GLM-4.5-Air |
|---|---|---|
| Provider | Google | Z.ai (Zhipu) |
| Noometry Index | 45.0 | 38.9 |
| Rank | 75 | 177 |
| Context | 1.05M | 131K |
| Input $/M | $1.25 | $0.20 |
| Output $/M | $10 | $1.10 |
| Weights | Proprietary | Open |

## Coding

- Gemini 2.5 Pro: 42.4 (#101)
- GLM-4.5-Air: 33.3 (#259)

| Benchmark | Gemini 2.5 Pro | GLM-4.5-Air |
|---|---|---|
| GSO | 3.9% | 2.9% |
| LMArena Coding | 1452 | 1397 |
| SWE-bench Verified | 57.6% | — |
| SWE-bench Verified (bash only) | 53.6% | — |
| Aider Polyglot | 83.1% | — |
| LMArena WebDev | 1227 | — |
| SciCode | 42.8% | — |
| WeirdML | 54% | — |
| LiveBench Coding | 85.9% | — |
| CadEval | 64% | — |
| ALE-Bench | 785.52 | — |
| AlgoTune | 1.51 | — |

## Agentic & Tool Use

- Gemini 2.5 Pro: 29.2 (#88)
- GLM-4.5-Air: —

| Benchmark | Gemini 2.5 Pro | GLM-4.5-Air |
|---|---|---|
| Terminal-Bench | 32.6% | — |
| GDPval | 23.3% | — |
| Remote Labor Index | 0.8% | — |
| TheAgentCompany | 30.3% | — |
| τ²-bench Banking | 13.7% | — |
| DeepResearch Bench | 42.8% | — |
| BALROG | 43.3% | — |
| LMArena Search | 1142 | — |
| METR Time Horizons | 55.4% | — |
| Vending-Bench 2 | 573.64 | — |

## Reasoning

- Gemini 2.5 Pro: 28.8 (#99)
- GLM-4.5-Air: 24.1 (#166)

| Benchmark | Gemini 2.5 Pro | GLM-4.5-Air |
|---|---|---|
| Kagi LLM Benchmark | 70.3% | 43% |
| LMArena Hard Prompts | 1455 | 1379 |
| ForecastBench | 61.3 | 59.2 |
| ARC-AGI-2 | 4.9% | — |
| SimpleBench | 62.4% | — |
| ARC-AGI-1 | 41% | — |
| CritPt | 2% | — |
| Chess Puzzles | 20% | — |
| EnigmaEval | 5.6% | — |
| LiveBench Reasoning | 89.8% | — |
| DTBench | 82.4% | — |
| LiveBench Data Analysis | 79.9% | — |
| LMCA | 34.8% | — |
| Epoch Capabilities Index | 145.32 | — |
| LiveBench | 82.3% | — |

## Math

- Gemini 2.5 Pro: 32.5 (#213)
- GLM-4.5-Air: 36.2 (#170)

| Benchmark | Gemini 2.5 Pro | GLM-4.5-Air |
|---|---|---|
| Omni-MATH | 41.6% | 39.1% |
| LMArena Math | 1450 | 1396 |
| FrontierMath (Tiers 1-3) | 24.6% | — |
| FrontierMath Tier 4 | 0% | — |
| OTIS Mock AIME 2024-2025 | 84.7% | — |
| LiveBench Math | 90.2% | — |
| MATH Level 5 | 95.9% | — |
| FrontierMath (Feb 2025 set) | 14.1% | — |
| FrontierMath Tier 4 (v1) | 4.2% | — |

## Knowledge

- Gemini 2.5 Pro: 56.0 (#46)
- GLM-4.5-Air: 35.0 (#191)

| Benchmark | Gemini 2.5 Pro | GLM-4.5-Air |
|---|---|---|
| Humanity's Last Exam | 21.6% | 8.1% |
| MMLU-Pro | 86.3% | 76.2% |
| Vectara Hallucination Rate | 7% | 9.3% |
| GPQA (HELM) | 74.9% | 59.4% |
| LMArena Expert | 1452 | 1370 |
| GPQA Diamond | 85.3% | — |
| Confabulations | 10.6% | — |

## Multimodal

- Gemini 2.5 Pro: 45.2 (#18)
- GLM-4.5-Air: —

| Benchmark | Gemini 2.5 Pro | GLM-4.5-Air |
|---|---|---|
| LMArena Vision | 1263 | — |
| GeoBench | 86% | — |
| VPCT | 48% | — |
| LMArena Document | 1421 | — |
| SpatialViz-Bench | 44.7% | — |

## Multilingual

- Gemini 2.5 Pro: 55.3 (#31)
- GLM-4.5-Air: 49.1 (#135)

| Benchmark | Gemini 2.5 Pro | GLM-4.5-Air |
|---|---|---|
| LMArena Non-English | 1451 | 1366 |
| LMArena Chinese | 1507 | 1426 |
| LMArena French | 1472 | 1399 |
| LMArena German | 1487 | 1377 |
| LMArena Japanese | 1461 | 1348 |
| LMArena Korean | 1434 | 1308 |
| LMArena Russian | 1461 | 1373 |
| LMArena Spanish | 1473 | 1386 |

## Instruction Following

- Gemini 2.5 Pro: 75.0 (#75)
- GLM-4.5-Air: 69.6 (#171)

| Benchmark | Gemini 2.5 Pro | GLM-4.5-Air |
|---|---|---|
| IFEval | 84% | 81.2% |
| LMArena Instruction Following | 1437 | 1354 |
| LiveBench Instruction Following | 80.6% | — |

## Long Context

- Gemini 2.5 Pro: 59.8 (#5)
- GLM-4.5-Air: 41.6 (#135)

| Benchmark | Gemini 2.5 Pro | GLM-4.5-Air |
|---|---|---|
| LMArena Longer Query | 1449 | 1366 |
| Fiction.LiveBench | 91.7% | — |

## Writing & Preference

- Gemini 2.5 Pro: 63.7 (#62)
- GLM-4.5-Air: 55.9 (#139)

| Benchmark | Gemini 2.5 Pro | GLM-4.5-Air |
|---|---|---|
| LMArena Text | 1458 | 1384 |
| LMArena Creative Writing | 1454 | 1343 |
| WildBench | 85.7% | 78.9% |
| LMArena Multi-Turn | 1453 | 1371 |
| Short-Story Creative Writing | 83.8% | — |
| EQ-Bench Creative Writing | 1421 | — |
| LiveBench Language | 67.8% | — |

## FAQ

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

Gemini 2.5 Pro is the stronger model overall, scoring 45.0 to 38.9 on the Noometry Index. GLM-4.5-Air costs 8.1× less per token, which makes it the better buy when Gemini 2.5 Pro's lead doesn't matter for your workload.

### Which is cheaper, Gemini 2.5 Pro 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 Pro lists at $1.25 and $10.

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

Gemini 2.5 Pro scores higher on coding benchmarks: 42.4 versus 33.3 in the Noometry coding category.

### Which has the bigger context window?

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

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

27 benchmarks have published results for both models. Gemini 2.5 Pro has 78 scored results on Noometry and GLM-4.5-Air has 27.