# Gemini 3.6 Flash vs GLM-4.5

> Gemini 3.6 Flash is the stronger model overall, scoring 54.1 to 41.4 on the Noometry Index. GLM-4.5 costs 1.5× less per token, which makes it the better buy when Gemini 3.6 Flash's lead doesn't matter for your workload.

- Canonical page: https://noometry.com/compare/gemini-3-6-flash-vs-glm-4-5
- Last updated: 2026-10-10
- Shared benchmarks: 20

## Summary

- They share 20 benchmarks with published results for both. Gemini 3.6 Flash scores higher in 8 categories and GLM-4.5 in 0 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where Gemini 3.6 Flash leads 67.8 to 35.5.
- The biggest single-benchmark swing is WeirdML: 56.1% for Gemini 3.6 Flash and 40.6% for GLM-4.5.
- GLM-4.5 is cheaper at $0.60 / $2.20 per million input/output tokens, against $0.75 / $3.75 for Gemini 3.6 Flash.
- Gemini 3.6 Flash accepts more context: 1.05M tokens versus 131K.
- GLM-4.5 has downloadable open weights; the other is API-only.

## Snapshot

| | Gemini 3.6 Flash | GLM-4.5 |
|---|---|---|
| Provider | Google | Z.ai (Zhipu) |
| Noometry Index | 54.1 | 41.4 |
| Rank | 30 | 125 |
| Context | 1.05M | 131K |
| Input $/M | $0.75 | $0.60 |
| Output $/M | $3.75 | $2.20 |
| Weights | Proprietary | Open |

## Coding

- Gemini 3.6 Flash: 49.6 (#45)
- GLM-4.5: 41.1 (#121)

| Benchmark | Gemini 3.6 Flash | GLM-4.5 |
|---|---|---|
| WeirdML | 56.1% | 40.6% |
| LMArena Coding | 1492 | 1434 |
| ALE-Bench | 715.52 | 344.82 |
| DeepSWE | 46.7% | — |
| FrontierCode | 34.4% | — |
| SWE-bench Verified (bash only) | — | 54.2% |
| LMArena WebDev | 1536 | — |
| SciCode | 52.7% | — |
| AlgoTune | — | 1.52 |

## Agentic & Tool Use

- Gemini 3.6 Flash: 32.4 (#56)
- GLM-4.5: —

| Benchmark | Gemini 3.6 Flash | GLM-4.5 |
|---|---|---|
| APEX-Agents | 46.9% | — |
| GDP.pdf | 14% | — |

## Reasoning

- Gemini 3.6 Flash: 58.9 (#20)
- GLM-4.5: 27.7 (#99)

| Benchmark | Gemini 3.6 Flash | GLM-4.5 |
|---|---|---|
| LMArena Hard Prompts | 1486 | 1430 |
| ARC-AGI-2 | 60.4% | — |
| Kagi LLM Benchmark | — | 57.9% |
| NYT Connections (extended) | 89% | — |
| ARC-AGI-1 | 91.2% | — |
| CritPt | 10.6% | — |
| Chess Puzzles | 43% | — |
| Mystery Game Puzzles | 30% | — |
| DTBench | 95.5% | — |
| LMCA | 44.9% | — |
| Epoch Capabilities Index | 154.36 | — |

## Math

- Gemini 3.6 Flash: 57.0 (#33)
- GLM-4.5: 36.3 (#119)

| Benchmark | Gemini 3.6 Flash | GLM-4.5 |
|---|---|---|
| LMArena Math | 1504 | 1427 |
| FrontierMath (Tiers 1-3) | 58.9% | — |
| FrontierMath Tier 4 | 22% | — |
| MathArena Final-Answer Competitions | 70.8% | — |
| OTIS Mock AIME 2024-2025 | 94.2% | — |
| ProofBench | 36% | — |

## Knowledge

- Gemini 3.6 Flash: 67.8 (#7)
- GLM-4.5: 35.5 (#172)

| Benchmark | Gemini 3.6 Flash | GLM-4.5 |
|---|---|---|
| LMArena Expert | 1489 | 1433 |
| GPQA Diamond | 94.1% | — |
| Humanity's Last Exam | — | 8.3% |
| SimpleQA Verified | 66.2% | — |
| Confabulations | — | 11.3% |

## Multimodal

- Gemini 3.6 Flash: 38.7 (#55)
- GLM-4.5: —

| Benchmark | Gemini 3.6 Flash | GLM-4.5 |
|---|---|---|
| LMArena Vision | 1297 | — |
| Blueprint-Bench 2 | 31.2% | — |
| Furniture Assembly | 23.3% | — |
| LMArena Document | 1456 | — |

## Multilingual

- Gemini 3.6 Flash: 56.8 (#17)
- GLM-4.5: 53.0 (#74)

| Benchmark | Gemini 3.6 Flash | GLM-4.5 |
|---|---|---|
| LMArena Non-English | 1470 | 1417 |
| LMArena Chinese | 1530 | 1465 |
| LMArena French | 1501 | 1423 |
| LMArena German | 1478 | 1406 |
| LMArena Japanese | 1477 | 1416 |
| LMArena Korean | 1435 | 1382 |
| LMArena Russian | 1490 | 1414 |
| LMArena Spanish | 1477 | 1454 |

## Instruction Following

- Gemini 3.6 Flash: 77.2 (#27)
- GLM-4.5: 74.3 (#100)

| Benchmark | Gemini 3.6 Flash | GLM-4.5 |
|---|---|---|
| LMArena Instruction Following | 1467 | 1405 |

## Long Context

- Gemini 3.6 Flash: 45.1 (#47)
- GLM-4.5: 38.2 (#196)

| Benchmark | Gemini 3.6 Flash | GLM-4.5 |
|---|---|---|
| LMArena Longer Query | 1475 | 1413 |
| Fiction.LiveBench | — | 58.3% |

## Writing & Preference

- Gemini 3.6 Flash: 68.3 (#26)
- GLM-4.5: 57.7 (#121)

| Benchmark | Gemini 3.6 Flash | GLM-4.5 |
|---|---|---|
| LMArena Text | 1478 | 1430 |
| LMArena Creative Writing | 1464 | 1395 |
| EQ-Bench Creative Writing | 1604 | 1343 |
| LMArena Multi-Turn | 1481 | 1415 |
| Short-Story Creative Writing | — | 73.4% |

## FAQ

### Is Gemini 3.6 Flash better than GLM-4.5?

Gemini 3.6 Flash is the stronger model overall, scoring 54.1 to 41.4 on the Noometry Index. GLM-4.5 costs 1.5× less per token, which makes it the better buy when Gemini 3.6 Flash's lead doesn't matter for your workload.

### Which is cheaper, Gemini 3.6 Flash or GLM-4.5?

GLM-4.5 is cheaper. It lists at $0.60 per million input tokens and $2.20 per million output tokens; Gemini 3.6 Flash lists at $0.75 and $3.75.

### Is Gemini 3.6 Flash or GLM-4.5 better for coding?

Gemini 3.6 Flash scores higher on coding benchmarks: 49.6 versus 41.1 in the Noometry coding category.

### Which has the bigger context window?

Gemini 3.6 Flash does, with 1.05M tokens against 131K.

### How many benchmarks do Gemini 3.6 Flash and GLM-4.5 share?

20 benchmarks have published results for both models. Gemini 3.6 Flash has 46 scored results on Noometry and GLM-4.5 has 27.