# DeepSeek LLM 67B vs GLM-4.5V

> GLM-4.5V is the stronger model overall, scoring 39.2 to 24.8 on the Noometry Index.

- Canonical page: https://noometry.com/compare/deepseek-llm-67b-vs-glm-4-5v
- 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-4.5V in 8 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where GLM-4.5V leads 36.8 to 7.1.

## Snapshot

| | DeepSeek LLM 67B | GLM-4.5V |
|---|---|---|
| Provider | DeepSeek | Z.ai (Zhipu) |
| Noometry Index | 24.8 | 39.2 |
| Rank | 341 | 158 |
| Context | — | 64K |
| Input $/M | — | $0.60 |
| Output $/M | — | $1.80 |
| Weights | Open | Open |

## Coding

- DeepSeek LLM 67B: 31.3 (#273)
- GLM-4.5V: 38.9 (#152)

| Benchmark | DeepSeek LLM 67B | GLM-4.5V |
|---|---|---|
| LMArena Coding | 1096 | 1347 |

## Reasoning

- DeepSeek LLM 67B: 15.9 (#300)
- GLM-4.5V: 26.5 (#118)

| Benchmark | DeepSeek LLM 67B | GLM-4.5V |
|---|---|---|
| LMArena Hard Prompts | 1070 | 1335 |
| Kagi LLM Benchmark | — | 59.8% |
| Chess Puzzles | 0% | — |
| Epoch Capabilities Index | 110.54 | — |

## Math

- DeepSeek LLM 67B: 8.1 (#318)
- GLM-4.5V: 34.7 (#157)

| Benchmark | DeepSeek LLM 67B | GLM-4.5V |
|---|---|---|
| LMArena Math | 1108 | 1353 |
| OTIS Mock AIME 2024-2025 | 0.8% | — |
| MATH Level 5 | 6.4% | — |

## Knowledge

- DeepSeek LLM 67B: 7.1 (#308)
- GLM-4.5V: 36.8 (#155)

| Benchmark | DeepSeek LLM 67B | GLM-4.5V |
|---|---|---|
| GPQA Diamond | 24.6% | — |
| LMArena Expert | — | 1353 |

## Multimodal

- DeepSeek LLM 67B: —
- GLM-4.5V: 33.6 (#86)

| Benchmark | DeepSeek LLM 67B | GLM-4.5V |
|---|---|---|
| LMArena Vision | — | 1154 |

## Multilingual

- DeepSeek LLM 67B: 29.5 (#262)
- GLM-4.5V: 44.9 (#172)

| Benchmark | DeepSeek LLM 67B | GLM-4.5V |
|---|---|---|
| LMArena Non-English | 1073 | 1304 |
| LMArena Chinese | 1132 | 1338 |
| LMArena Russian | — | 1299 |
| LMArena Spanish | — | 1335 |

## Instruction Following

- DeepSeek LLM 67B: 55.7 (#272)
- GLM-4.5V: 69.4 (#170)

| Benchmark | DeepSeek LLM 67B | GLM-4.5V |
|---|---|---|
| LMArena Instruction Following | 1079 | 1311 |

## Long Context

- DeepSeek LLM 67B: 33.1 (#260)
- GLM-4.5V: 39.6 (#166)

| Benchmark | DeepSeek LLM 67B | GLM-4.5V |
|---|---|---|
| LMArena Longer Query | 1092 | 1305 |

## Writing & Preference

- DeepSeek LLM 67B: 31.8 (#277)
- GLM-4.5V: 52.7 (#162)

| Benchmark | DeepSeek LLM 67B | GLM-4.5V |
|---|---|---|
| LMArena Text | 1105 | 1333 |
| LMArena Creative Writing | 1067 | 1295 |
| LMArena Multi-Turn | 1082 | 1333 |

## FAQ

### Is DeepSeek LLM 67B better than GLM-4.5V?

GLM-4.5V is the stronger model overall, scoring 39.2 to 24.8 on the Noometry Index.

### Is DeepSeek LLM 67B or GLM-4.5V better for coding?

GLM-4.5V scores higher on coding benchmarks: 38.9 versus 31.3 in the Noometry coding category.

### How many benchmarks do DeepSeek LLM 67B and GLM-4.5V share?

10 benchmarks have published results for both models. DeepSeek LLM 67B has 15 scored results on Noometry and GLM-4.5V has 15.