# DeepSeek LLM 67B vs GLM-5.1

> GLM-5.1 is the stronger model overall, scoring 47.8 to 24.9 on the Noometry Index.

- Canonical page: https://noometry.com/compare/deepseek-llm-67b-vs-glm-5-1
- Last updated: 2026-10-10
- Shared benchmarks: 14

## Summary

- They share 14 benchmarks with published results for both. DeepSeek LLM 67B scores higher in 0 categories and GLM-5.1 in 8 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where GLM-5.1 leads 54.9 to 7.0.
- The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 0.8% for DeepSeek LLM 67B and 93.3% for GLM-5.1.

## Snapshot

| | DeepSeek LLM 67B | GLM-5.1 |
|---|---|---|
| Provider | DeepSeek | Z.ai (Zhipu) |
| Noometry Index | 24.9 | 47.8 |
| Rank | 347 | 59 |
| Context | — | 200K |
| Input $/M | — | $1.40 |
| Output $/M | — | $4.40 |
| Weights | Open | Open |

## Coding

- DeepSeek LLM 67B: 31.9 (#278)
- GLM-5.1: 48.7 (#55)

| Benchmark | DeepSeek LLM 67B | GLM-5.1 |
|---|---|---|
| LMArena Coding | 1096 | 1485 |
| SWE-bench Verified | — | 74.2% |
| LMArena WebDev | — | 1508 |
| SciCode | — | 43.8% |
| WeirdML | — | 57.1% |
| ALE-Bench | — | 887.1 |

## Agentic & Tool Use

- DeepSeek LLM 67B: —
- GLM-5.1: 24.9 (#113)

| Benchmark | DeepSeek LLM 67B | GLM-5.1 |
|---|---|---|
| APEX-Agents | — | 40.9% |
| ExploitBench | — | 18.1% |
| GBAEval | — | 0% |
| Vending-Bench 2 | — | 5,634 |

## Reasoning

- DeepSeek LLM 67B: 16.5 (#304)
- GLM-5.1: 39.1 (#60)

| Benchmark | DeepSeek LLM 67B | GLM-5.1 |
|---|---|---|
| Chess Puzzles | 0% | 19% |
| LMArena Hard Prompts | 1070 | 1472 |
| Epoch Capabilities Index | 110.5 | 149.84 |
| SimpleBench | — | 55.1% |
| NYT Connections (extended) | — | 77.7% |
| CritPt | — | 4.6% |
| Thematic Generalization | — | 69.8% |

## Math

- DeepSeek LLM 67B: 8.7 (#324)
- GLM-5.1: 49.7 (#60)

| Benchmark | DeepSeek LLM 67B | GLM-5.1 |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 0.8% | 93.3% |
| LMArena Math | 1108 | 1473 |
| FrontierMath (Tiers 1-3) | — | 36.8% |
| MathArena Final-Answer Competitions | — | 67.1% |
| ProofBench | — | 22.2% |
| MATH Level 5 | 6.4% | — |
| FrontierMath (Feb 2025 set) | — | 33.4% |
| FrontierMath Tier 4 (v1) | — | 12.5% |

## Knowledge

- DeepSeek LLM 67B: 7.0 (#313)
- GLM-5.1: 54.9 (#50)

| Benchmark | DeepSeek LLM 67B | GLM-5.1 |
|---|---|---|
| GPQA Diamond | 24.6% | 89.9% |
| SimpleQA Verified | — | 34% |
| LMArena Expert | — | 1476 |

## Multilingual

- DeepSeek LLM 67B: 29.4 (#267)
- GLM-5.1: 55.0 (#36)

| Benchmark | DeepSeek LLM 67B | GLM-5.1 |
|---|---|---|
| LMArena Non-English | 1073 | 1447 |
| LMArena Chinese | 1132 | 1515 |
| LMArena French | — | 1474 |
| LMArena German | — | 1465 |
| LMArena Japanese | — | 1434 |
| LMArena Korean | — | 1418 |
| LMArena Russian | — | 1454 |
| LMArena Spanish | — | 1469 |

## Instruction Following

- DeepSeek LLM 67B: 55.4 (#277)
- GLM-5.1: 76.3 (#42)

| Benchmark | DeepSeek LLM 67B | GLM-5.1 |
|---|---|---|
| LMArena Instruction Following | 1079 | 1451 |

## Long Context

- DeepSeek LLM 67B: 33.1 (#265)
- GLM-5.1: 44.9 (#53)

| Benchmark | DeepSeek LLM 67B | GLM-5.1 |
|---|---|---|
| LMArena Longer Query | 1092 | 1466 |

## Writing & Preference

- DeepSeek LLM 67B: 31.6 (#282)
- GLM-5.1: 66.9 (#31)

| Benchmark | DeepSeek LLM 67B | GLM-5.1 |
|---|---|---|
| LMArena Text | 1105 | 1461 |
| LMArena Creative Writing | 1067 | 1453 |
| LMArena Multi-Turn | 1082 | 1472 |
| EQ-Bench Creative Writing | — | 1592 |

## FAQ

### Is DeepSeek LLM 67B better than GLM-5.1?

GLM-5.1 is the stronger model overall, scoring 47.8 to 24.9 on the Noometry Index.

### Is DeepSeek LLM 67B or GLM-5.1 better for coding?

GLM-5.1 scores higher on coding benchmarks: 48.7 versus 31.9 in the Noometry coding category.

### How many benchmarks do DeepSeek LLM 67B and GLM-5.1 share?

14 benchmarks have published results for both models. DeepSeek LLM 67B has 15 scored results on Noometry and GLM-5.1 has 41.
