# GLM-4.6V vs GPT-4 Turbo

> GLM-4.6V is the stronger model overall, scoring 41.3 to 30.5 on the Noometry Index.

- Canonical page: https://noometry.com/compare/glm-4-6v-vs-gpt-4-turbo
- Last updated: 2026-10-10
- Shared benchmarks: 12

## Summary

- They share 12 benchmarks with published results for both. GLM-4.6V scores higher in 8 categories and GPT-4 Turbo in 0 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where GLM-4.6V leads 38.0 to 24.3.
- GLM-4.6V is cheaper at $0.30 / $0.90 per million input/output tokens, against $10 / $30 for GPT-4 Turbo.
- GLM-4.6V has downloadable open weights; the other is API-only.

## Snapshot

| | GLM-4.6V | GPT-4 Turbo |
|---|---|---|
| Provider | Z.ai (Zhipu) | OpenAI |
| Noometry Index | 41.3 | 30.5 |
| Rank | 137 | 292 |
| Context | 128K | 128K |
| Input $/M | $0.30 | $10 |
| Output $/M | $0.90 | $30 |
| Weights | Open | Proprietary |

## Coding

- GLM-4.6V: 40.9 (#128)
- GPT-4 Turbo: 33.8 (#249)

| Benchmark | GLM-4.6V | GPT-4 Turbo |
|---|---|---|
| LMArena Coding | 1390 | 1268 |
| WeirdML | — | 18% |
| BigCodeBench Instruct | — | 48.2% |
| BigCodeBench Complete | — | 58.2% |
| HumanEval+ | — | 86.6% |
| MBPP+ | — | 73.3% |

## Agentic & Tool Use

- GLM-4.6V: —
- GPT-4 Turbo: —

| Benchmark | GLM-4.6V | GPT-4 Turbo |
|---|---|---|
| METR Time Horizons | — | 36.7% |

## Reasoning

- GLM-4.6V: 27.6 (#115)
- GPT-4 Turbo: 15.3 (#317)

| Benchmark | GLM-4.6V | GPT-4 Turbo |
|---|---|---|
| LMArena Hard Prompts | 1368 | 1251 |
| SimpleBench | — | 25.1% |
| Chess Puzzles | — | 6% |
| DTBench | — | 61.6% |
| LMCA | — | 9.8% |
| Epoch Capabilities Index | — | 127.25 |
| ForecastBench | — | 59.4 |

## Math

- GLM-4.6V: —
- GPT-4 Turbo: 9.0 (#322)

| Benchmark | GLM-4.6V | GPT-4 Turbo |
|---|---|---|
| FrontierMath (Tiers 1-3) | — | 0.7% |
| OTIS Mock AIME 2024-2025 | — | 6.7% |
| LMArena Math | — | 1272 |
| MATH Level 5 | — | 46.7% |

## Knowledge

- GLM-4.6V: 38.0 (#149)
- GPT-4 Turbo: 24.3 (#268)

| Benchmark | GLM-4.6V | GPT-4 Turbo |
|---|---|---|
| LMArena Expert | 1371 | 1223 |
| GPQA Diamond | — | 46.6% |
| Confabulations | — | 28.4% |
| MMLU | — | 81.3% |

## Multimodal

- GLM-4.6V: 34.8 (#90)
- GPT-4 Turbo: 30.6 (#110)

| Benchmark | GLM-4.6V | GPT-4 Turbo |
|---|---|---|
| LMArena Vision | 1164 | 1090 |

## Multilingual

- GLM-4.6V: 48.6 (#141)
- GPT-4 Turbo: 40.5 (#216)

| Benchmark | GLM-4.6V | GPT-4 Turbo |
|---|---|---|
| LMArena Non-English | 1359 | 1245 |
| LMArena Chinese | 1425 | 1242 |
| LMArena Russian | 1340 | 1259 |
| LMArena French | — | 1276 |
| LMArena German | — | 1259 |
| LMArena Japanese | — | 1194 |
| LMArena Korean | — | 1187 |
| LMArena Spanish | — | 1260 |

## Instruction Following

- GLM-4.6V: 71.4 (#151)
- GPT-4 Turbo: 65.8 (#216)

| Benchmark | GLM-4.6V | GPT-4 Turbo |
|---|---|---|
| LMArena Instruction Following | 1352 | 1249 |

## Long Context

- GLM-4.6V: 41.3 (#143)
- GPT-4 Turbo: 38.0 (#206)

| Benchmark | GLM-4.6V | GPT-4 Turbo |
|---|---|---|
| LMArena Longer Query | 1358 | 1254 |

## Writing & Preference

- GLM-4.6V: 56.6 (#137)
- GPT-4 Turbo: 47.7 (#206)

| Benchmark | GLM-4.6V | GPT-4 Turbo |
|---|---|---|
| LMArena Text | 1377 | 1272 |
| LMArena Creative Writing | 1347 | 1269 |
| LMArena Multi-Turn | 1360 | 1267 |

## FAQ

### Is GLM-4.6V better than GPT-4 Turbo?

GLM-4.6V is the stronger model overall, scoring 41.3 to 30.5 on the Noometry Index.

### Which is cheaper, GLM-4.6V or GPT-4 Turbo?

GLM-4.6V is cheaper. It lists at $0.30 per million input tokens and $0.90 per million output tokens; GPT-4 Turbo lists at $10 and $30.

### Is GLM-4.6V or GPT-4 Turbo better for coding?

GLM-4.6V scores higher on coding benchmarks: 40.9 versus 33.8 in the Noometry coding category.

### Which has the bigger context window?

Both accept 128K tokens.

### How many benchmarks do GLM-4.6V and GPT-4 Turbo share?

12 benchmarks have published results for both models. GLM-4.6V has 12 scored results on Noometry and GPT-4 Turbo has 36.