# Gemini 2.5 Flash-Lite vs GLM-4.5

> GLM-4.5 is the stronger model overall, scoring 42.0 to 37.0 on the Noometry Index. Gemini 2.5 Flash-Lite costs 5.7× less per token, which makes it the better buy when GLM-4.5's lead doesn't matter for your workload.

- Canonical page: https://noometry.com/compare/gemini-2-5-flash-lite-vs-glm-4-5
- Last updated: 2026-10-10
- Shared benchmarks: 21

## Summary

- They share 21 benchmarks with published results for both. Gemini 2.5 Flash-Lite scores higher in 0 categories and GLM-4.5 in 8 categories; 7 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where GLM-4.5 leads 28.6 to 22.2.
- The biggest single-benchmark swing is Kagi LLM Benchmark: 40.5% for Gemini 2.5 Flash-Lite and 57.9% for GLM-4.5.
- Gemini 2.5 Flash-Lite is cheaper at $0.10 / $0.40 per million input/output tokens, against $0.60 / $2.20 for GLM-4.5.
- Gemini 2.5 Flash-Lite accepts more context: 1.05M tokens versus 131K.
- GLM-4.5 has downloadable open weights; the other is API-only.

## Snapshot

| | Gemini 2.5 Flash-Lite | GLM-4.5 |
|---|---|---|
| Provider | Google | Z.ai (Zhipu) |
| Noometry Index | 37.0 | 42.0 |
| Rank | 211 | 122 |
| Context | 1.05M | 131K |
| Input $/M | $0.10 | $0.60 |
| Output $/M | $0.40 | $2.20 |
| Weights | Proprietary | Open |

## Coding

- Gemini 2.5 Flash-Lite: 38.5 (#173)
- GLM-4.5: 41.4 (#125)

| Benchmark | Gemini 2.5 Flash-Lite | GLM-4.5 |
|---|---|---|
| WeirdML | 35.2% | 40.6% |
| LMArena Coding | 1373 | 1434 |
| ALE-Bench | 325.9 | 344.82 |
| SWE-bench Verified (bash only) | — | 54.2% |
| AlgoTune | — | 1.52 |

## Agentic & Tool Use

- Gemini 2.5 Flash-Lite: 28.0 (#96)
- GLM-4.5: —

| Benchmark | Gemini 2.5 Flash-Lite | GLM-4.5 |
|---|---|---|
| Berkeley Function Calling Leaderboard | 36.9% | — |

## Reasoning

- Gemini 2.5 Flash-Lite: 22.2 (#205)
- GLM-4.5: 28.6 (#100)

| Benchmark | Gemini 2.5 Flash-Lite | GLM-4.5 |
|---|---|---|
| Kagi LLM Benchmark | 40.5% | 57.9% |
| LMArena Hard Prompts | 1377 | 1429 |
| DTBench | 62.8% | — |
| LMCA | 18.1% | — |
| Epoch Capabilities Index | 133.94 | — |

## Math

- Gemini 2.5 Flash-Lite: 38.0 (#144)
- GLM-4.5: 39.0 (#116)

| Benchmark | Gemini 2.5 Flash-Lite | GLM-4.5 |
|---|---|---|
| LMArena Math | 1373 | 1427 |
| Omni-MATH | 48% | — |

## Knowledge

- Gemini 2.5 Flash-Lite: 32.5 (#210)
- GLM-4.5: 35.9 (#179)

| Benchmark | Gemini 2.5 Flash-Lite | GLM-4.5 |
|---|---|---|
| LMArena Expert | 1373 | 1433 |
| Humanity's Last Exam | — | 8.3% |
| MMLU-Pro | 53.7% | — |
| Confabulations | — | 11.3% |
| Vectara Hallucination Rate | 3.3% | — |
| GPQA (HELM) | 30.9% | — |

## Multimodal

- Gemini 2.5 Flash-Lite: 29.1 (#114)
- GLM-4.5: —

| Benchmark | Gemini 2.5 Flash-Lite | GLM-4.5 |
|---|---|---|
| LMArena Vision | 1198 | — |
| VPCT | 30% | — |

## Multilingual

- Gemini 2.5 Flash-Lite: 49.3 (#134)
- GLM-4.5: 52.8 (#77)

| Benchmark | Gemini 2.5 Flash-Lite | GLM-4.5 |
|---|---|---|
| LMArena Non-English | 1369 | 1417 |
| LMArena Chinese | 1404 | 1465 |
| LMArena French | 1388 | 1418 |
| LMArena German | 1389 | 1407 |
| LMArena Japanese | 1359 | 1415 |
| LMArena Korean | 1360 | 1380 |
| LMArena Russian | 1373 | 1414 |
| LMArena Spanish | 1396 | 1454 |

## Instruction Following

- Gemini 2.5 Flash-Lite: 70.0 (#168)
- GLM-4.5: 74.1 (#104)

| Benchmark | Gemini 2.5 Flash-Lite | GLM-4.5 |
|---|---|---|
| LMArena Instruction Following | 1367 | 1404 |
| IFEval | 81% | — |

## Long Context

- Gemini 2.5 Flash-Lite: 33.3 (#262)
- GLM-4.5: 38.2 (#201)

| Benchmark | Gemini 2.5 Flash-Lite | GLM-4.5 |
|---|---|---|
| Fiction.LiveBench | 47.2% | 58.3% |
| LMArena Longer Query | 1373 | 1412 |

## Writing & Preference

- Gemini 2.5 Flash-Lite: 56.8 (#135)
- GLM-4.5: 57.5 (#127)

| Benchmark | Gemini 2.5 Flash-Lite | GLM-4.5 |
|---|---|---|
| LMArena Text | 1379 | 1430 |
| LMArena Creative Writing | 1367 | 1395 |
| LMArena Multi-Turn | 1366 | 1415 |
| Short-Story Creative Writing | — | 73.4% |
| EQ-Bench Creative Writing | — | 1343 |
| WildBench | 81.8% | — |

## FAQ

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

GLM-4.5 is the stronger model overall, scoring 42.0 to 37.0 on the Noometry Index. Gemini 2.5 Flash-Lite costs 5.7× less per token, which makes it the better buy when GLM-4.5's lead doesn't matter for your workload.

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

Gemini 2.5 Flash-Lite is cheaper. It lists at $0.10 per million input tokens and $0.40 per million output tokens; GLM-4.5 lists at $0.60 and $2.20.

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

GLM-4.5 scores higher on coding benchmarks: 41.4 versus 38.5 in the Noometry coding category.

### Which has the bigger context window?

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

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

21 benchmarks have published results for both models. Gemini 2.5 Flash-Lite has 33 scored results on Noometry and GLM-4.5 has 27.