# GLM-5V-Turbo vs GPT-4

> GLM-5V-Turbo is the stronger model overall, scoring 43.1 to 28.9 on the Noometry Index.

- Canonical page: https://noometry.com/compare/glm-5v-turbo-vs-gpt-4
- Last updated: 2026-10-10
- Shared benchmarks: 16

## Summary

- They share 16 benchmarks with published results for both. GLM-5V-Turbo scores higher in 8 categories and GPT-4 in 0 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where GLM-5V-Turbo leads 62.6 to 35.0.
- GLM-5V-Turbo is cheaper at $1.20 / $4 per million input/output tokens, against $30 / $60 for GPT-4.
- GLM-5V-Turbo accepts more context: 200K tokens versus 8K.

## Snapshot

| | GLM-5V-Turbo | GPT-4 |
|---|---|---|
| Provider | Z.ai (Zhipu) | OpenAI |
| Noometry Index | 43.1 | 28.9 |
| Rank | 86 | 308 |
| Context | 200K | 8K |
| Input $/M | $1.20 | $30 |
| Output $/M | $4 | $60 |
| Weights | Proprietary | Proprietary |

## Coding

- GLM-5V-Turbo: 41.8 (#105)
- GPT-4: 31.2 (#277)

| Benchmark | GLM-5V-Turbo | GPT-4 |
|---|---|---|
| LMArena Coding | 1467 | 1254 |
| LMArena WebDev | 1400 | — |
| WeirdML | — | 12.4% |
| BigCodeBench Instruct | — | 46% |
| BigCodeBench Complete | — | 57.2% |
| HumanEval+ | — | 79.3% |

## Agentic & Tool Use

- GLM-5V-Turbo: —
- GPT-4: —

| Benchmark | GLM-5V-Turbo | GPT-4 |
|---|---|---|
| METR Time Horizons | — | 36.1% |

## Reasoning

- GLM-5V-Turbo: 28.5 (#87)
- GPT-4: 17.3 (#285)

| Benchmark | GLM-5V-Turbo | GPT-4 |
|---|---|---|
| LMArena Hard Prompts | 1443 | 1241 |
| Chess Puzzles | — | 4% |
| Mystery Game Puzzles | — | 12% |
| DTBench | — | 62.7% |
| LMCA | — | 17.1% |
| BIG-Bench Hard | — | 75.1% |
| Epoch Capabilities Index | — | 125.88 |
| ForecastBench | — | 57.8 |
| HellaSwag | — | 95.3% |
| WinoGrande | — | 87.5% |

## Math

- GLM-5V-Turbo: 36.6 (#109)
- GPT-4: 10.1 (#304)

| Benchmark | GLM-5V-Turbo | GPT-4 |
|---|---|---|
| LMArena Math | 1440 | 1269 |
| OTIS Mock AIME 2024-2025 | — | 1.1% |
| MATH Level 5 | — | 23% |
| GSM8K | — | 92% |

## Knowledge

- GLM-5V-Turbo: 39.9 (#113)
- GPT-4: 18.4 (#277)

| Benchmark | GLM-5V-Turbo | GPT-4 |
|---|---|---|
| LMArena Expert | 1451 | 1211 |
| GPQA Diamond | — | 35.7% |
| MMLU | — | 86.4% |
| TriviaQA | — | 84.8% |

## Multimodal

- GLM-5V-Turbo: 40.1 (#41)
- GPT-4: —

| Benchmark | GLM-5V-Turbo | GPT-4 |
|---|---|---|
| LMArena Vision | 1264 | — |
| LMArena Document | 1416 | — |

## Multilingual

- GLM-5V-Turbo: 53.2 (#69)
- GPT-4: 40.8 (#210)

| Benchmark | GLM-5V-Turbo | GPT-4 |
|---|---|---|
| LMArena Non-English | 1420 | 1246 |
| LMArena Chinese | 1488 | 1242 |
| LMArena French | 1443 | 1282 |
| LMArena German | 1422 | 1251 |
| LMArena Korean | 1399 | 1184 |
| LMArena Russian | 1432 | 1251 |
| LMArena Spanish | 1446 | 1261 |
| LMArena Japanese | — | 1209 |

## Instruction Following

- GLM-5V-Turbo: 75.1 (#75)
- GPT-4: 65.5 (#217)

| Benchmark | GLM-5V-Turbo | GPT-4 |
|---|---|---|
| LMArena Instruction Following | 1422 | 1241 |

## Long Context

- GLM-5V-Turbo: 44.0 (#76)
- GPT-4: 37.7 (#207)

| Benchmark | GLM-5V-Turbo | GPT-4 |
|---|---|---|
| LMArena Longer Query | 1439 | 1244 |

## Writing & Preference

- GLM-5V-Turbo: 62.6 (#69)
- GPT-4: 35.0 (#263)

| Benchmark | GLM-5V-Turbo | GPT-4 |
|---|---|---|
| LMArena Text | 1437 | 1263 |
| LMArena Creative Writing | 1414 | 1244 |
| LMArena Multi-Turn | 1432 | 1257 |
| EQ-Bench Creative Writing | — | 752 |

## FAQ

### Is GLM-5V-Turbo better than GPT-4?

GLM-5V-Turbo is the stronger model overall, scoring 43.1 to 28.9 on the Noometry Index.

### Which is cheaper, GLM-5V-Turbo or GPT-4?

GLM-5V-Turbo is cheaper. It lists at $1.20 per million input tokens and $4 per million output tokens; GPT-4 lists at $30 and $60.

### Is GLM-5V-Turbo or GPT-4 better for coding?

GLM-5V-Turbo scores higher on coding benchmarks: 41.8 versus 31.2 in the Noometry coding category.

### Which has the bigger context window?

GLM-5V-Turbo does, with 200K tokens against 8K.

### How many benchmarks do GLM-5V-Turbo and GPT-4 share?

16 benchmarks have published results for both models. GLM-5V-Turbo has 19 scored results on Noometry and GPT-4 has 38.
