# DeepSeek LLM 67B vs GLM-5V-Turbo

> GLM-5V-Turbo is the stronger model overall, scoring 43.8 to 24.9 on the Noometry Index.

- Canonical page: https://noometry.com/compare/deepseek-llm-67b-vs-glm-5v-turbo
- Last updated: 2026-10-10
- Shared benchmarks: 10

## Summary

- They share 10 benchmarks with published results for both. DeepSeek LLM 67B scores higher in 0 categories and GLM-5V-Turbo in 8 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where GLM-5V-Turbo leads 40.6 to 7.0.
- DeepSeek LLM 67B has downloadable open weights; the other is API-only.

## Snapshot

| | DeepSeek LLM 67B | GLM-5V-Turbo |
|---|---|---|
| Provider | DeepSeek | Z.ai (Zhipu) |
| Noometry Index | 24.9 | 43.8 |
| Rank | 347 | 84 |
| Context | — | 200K |
| Input $/M | — | $1.20 |
| Output $/M | — | $4 |
| Weights | Open | Proprietary |

## Coding

- DeepSeek LLM 67B: 31.9 (#278)
- GLM-5V-Turbo: 42.1 (#111)

| Benchmark | DeepSeek LLM 67B | GLM-5V-Turbo |
|---|---|---|
| LMArena Coding | 1096 | 1466 |
| LMArena WebDev | — | 1401 |

## Reasoning

- DeepSeek LLM 67B: 16.5 (#304)
- GLM-5V-Turbo: 29.7 (#89)

| Benchmark | DeepSeek LLM 67B | GLM-5V-Turbo |
|---|---|---|
| LMArena Hard Prompts | 1070 | 1443 |
| Chess Puzzles | 0% | — |
| Epoch Capabilities Index | 110.5 | — |

## Math

- DeepSeek LLM 67B: 8.7 (#324)
- GLM-5V-Turbo: 39.4 (#106)

| Benchmark | DeepSeek LLM 67B | GLM-5V-Turbo |
|---|---|---|
| LMArena Math | 1108 | 1441 |
| OTIS Mock AIME 2024-2025 | 0.8% | — |
| MATH Level 5 | 6.4% | — |

## Knowledge

- DeepSeek LLM 67B: 7.0 (#313)
- GLM-5V-Turbo: 40.6 (#117)

| Benchmark | DeepSeek LLM 67B | GLM-5V-Turbo |
|---|---|---|
| GPQA Diamond | 24.6% | — |
| LMArena Expert | — | 1452 |

## Multimodal

- DeepSeek LLM 67B: —
- GLM-5V-Turbo: 40.9 (#42)

| Benchmark | DeepSeek LLM 67B | GLM-5V-Turbo |
|---|---|---|
| LMArena Vision | — | 1264 |
| LMArena Document | — | 1416 |

## Multilingual

- DeepSeek LLM 67B: 29.4 (#267)
- GLM-5V-Turbo: 53.0 (#73)

| Benchmark | DeepSeek LLM 67B | GLM-5V-Turbo |
|---|---|---|
| LMArena Non-English | 1073 | 1420 |
| LMArena Chinese | 1132 | 1488 |
| LMArena French | — | 1444 |
| LMArena German | — | 1423 |
| LMArena Korean | — | 1396 |
| LMArena Russian | — | 1431 |
| LMArena Spanish | — | 1450 |

## Instruction Following

- DeepSeek LLM 67B: 55.4 (#277)
- GLM-5V-Turbo: 75.0 (#80)

| Benchmark | DeepSeek LLM 67B | GLM-5V-Turbo |
|---|---|---|
| LMArena Instruction Following | 1079 | 1423 |

## Long Context

- DeepSeek LLM 67B: 33.1 (#265)
- GLM-5V-Turbo: 44.0 (#80)

| Benchmark | DeepSeek LLM 67B | GLM-5V-Turbo |
|---|---|---|
| LMArena Longer Query | 1092 | 1438 |

## Writing & Preference

- DeepSeek LLM 67B: 31.6 (#282)
- GLM-5V-Turbo: 62.5 (#73)

| Benchmark | DeepSeek LLM 67B | GLM-5V-Turbo |
|---|---|---|
| LMArena Text | 1105 | 1437 |
| LMArena Creative Writing | 1067 | 1416 |
| LMArena Multi-Turn | 1082 | 1432 |

## FAQ

### Is DeepSeek LLM 67B better than GLM-5V-Turbo?

GLM-5V-Turbo is the stronger model overall, scoring 43.8 to 24.9 on the Noometry Index.

### Is DeepSeek LLM 67B or GLM-5V-Turbo better for coding?

GLM-5V-Turbo scores higher on coding benchmarks: 42.1 versus 31.9 in the Noometry coding category.

### How many benchmarks do DeepSeek LLM 67B and GLM-5V-Turbo share?

10 benchmarks have published results for both models. DeepSeek LLM 67B has 15 scored results on Noometry and GLM-5V-Turbo has 19.