# Deepseek Coder v2 vs GLM-4.7

> GLM-4.7 is the stronger model overall, scoring 41.7 to 35.3 on the Noometry Index.

- Canonical page: https://noometry.com/compare/deepseek-coder-v2-vs-glm-4-7
- Last updated: 2026-10-10
- Shared benchmarks: 17

## Summary

- They share 17 benchmarks with published results for both. Deepseek Coder v2 scores higher in 0 categories and GLM-4.7 in 8 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where GLM-4.7 leads 61.1 to 38.4.

## Snapshot

| | Deepseek Coder v2 | GLM-4.7 |
|---|---|---|
| Provider | DeepSeek | Z.ai (Zhipu) |
| Noometry Index | 35.3 | 41.7 |
| Rank | 217 | 117 |
| Context | — | 205K |
| Input $/M | — | $0.60 |
| Output $/M | — | $2.20 |
| Weights | Open | Open |

## Coding

- Deepseek Coder v2: 37.5 (#178)
- GLM-4.7: 43.6 (#74)

| Benchmark | Deepseek Coder v2 | GLM-4.7 |
|---|---|---|
| LMArena Coding | 1251 | 1454 |
| LMArena WebDev | — | 1435 |
| SciCode | — | 45.1% |
| BigCodeBench Instruct | 48.2% | — |
| BigCodeBench Complete | 59.7% | — |
| ALE-Bench | — | 399.48 |
| HumanEval+ | 82.3% | — |
| MBPP+ | 75.1% | — |

## Agentic & Tool Use

- Deepseek Coder v2: —
- GLM-4.7: 26.4 (#96)

| Benchmark | Deepseek Coder v2 | GLM-4.7 |
|---|---|---|
| Terminal-Bench | — | 33.4% |
| Vending-Bench 2 | — | 2,377 |

## Reasoning

- Deepseek Coder v2: 22.6 (#175)
- GLM-4.7: 23.7 (#161)

| Benchmark | Deepseek Coder v2 | GLM-4.7 |
|---|---|---|
| LMArena Hard Prompts | 1207 | 1443 |
| SimpleBench | — | 47.7% |
| CritPt | — | 1.7% |
| Chess Puzzles | — | 6% |
| Epoch Capabilities Index | — | 143.53 |
| WinoGrande | 83.7% | — |

## Math

- Deepseek Coder v2: 32.3 (#188)
- GLM-4.7: 37.7 (#92)

| Benchmark | Deepseek Coder v2 | GLM-4.7 |
|---|---|---|
| LMArena Math | 1241 | 1423 |
| OTIS Mock AIME 2024-2025 | — | 83.3% |
| ProofBench | — | 6% |
| FrontierMath (Feb 2025 set) | — | 2.4% |
| FrontierMath Tier 4 (v1) | — | 0% |
| GSM8K | 94.5% | — |

## Knowledge

- Deepseek Coder v2: 31.7 (#209)
- GLM-4.7: 47.0 (#74)

| Benchmark | Deepseek Coder v2 | GLM-4.7 |
|---|---|---|
| LMArena Expert | 1181 | 1424 |
| GPQA Diamond | — | 83.3% |
| SimpleQA Verified | — | 32.2% |
| Vectara Hallucination Rate | — | 11.7% |
| ARC (AI2) Challenge | 64.3% | — |

## Multilingual

- Deepseek Coder v2: 36.4 (#235)
- GLM-4.7: 53.0 (#75)

| Benchmark | Deepseek Coder v2 | GLM-4.7 |
|---|---|---|
| LMArena Non-English | 1182 | 1417 |
| LMArena Chinese | 1201 | 1495 |
| LMArena French | 1184 | 1432 |
| LMArena German | 1164 | 1426 |
| LMArena Japanese | 1126 | 1439 |
| LMArena Korean | 1104 | 1401 |
| LMArena Russian | 1188 | 1423 |
| LMArena Spanish | 1153 | 1433 |

## Instruction Following

- Deepseek Coder v2: 61.9 (#237)
- GLM-4.7: 74.6 (#90)

| Benchmark | Deepseek Coder v2 | GLM-4.7 |
|---|---|---|
| LMArena Instruction Following | 1180 | 1411 |

## Long Context

- Deepseek Coder v2: 37.0 (#219)
- GLM-4.7: 42.8 (#111)

| Benchmark | Deepseek Coder v2 | GLM-4.7 |
|---|---|---|
| LMArena Longer Query | 1219 | 1432 |
| CL-bench | — | 15.9% |
| CL-bench Life | — | 10.9% |

## Writing & Preference

- Deepseek Coder v2: 38.4 (#249)
- GLM-4.7: 61.1 (#89)

| Benchmark | Deepseek Coder v2 | GLM-4.7 |
|---|---|---|
| LMArena Text | 1191 | 1436 |
| LMArena Creative Writing | 1120 | 1401 |
| LMArena Multi-Turn | 1176 | 1446 |
| EQ-Bench Creative Writing | — | 1413 |

## FAQ

### Is Deepseek Coder v2 better than GLM-4.7?

GLM-4.7 is the stronger model overall, scoring 41.7 to 35.3 on the Noometry Index.

### Is Deepseek Coder v2 or GLM-4.7 better for coding?

GLM-4.7 scores higher on coding benchmarks: 43.6 versus 37.5 in the Noometry coding category.

### How many benchmarks do Deepseek Coder v2 and GLM-4.7 share?

17 benchmarks have published results for both models. Deepseek Coder v2 has 24 scored results on Noometry and GLM-4.7 has 36.