# DeepSeek Coder 1.3B vs GLM-4.5V

> GLM-4.5V has enough public results to be ranked (#158); DeepSeek Coder 1.3B does not yet, so treat this comparison as directional.

- Canonical page: https://noometry.com/compare/deepseek-coder-1-3b-vs-glm-4-5v
- Last updated: 2026-10-11
- Shared benchmarks: 0

## Summary

- The widest gap is in coding, where GLM-4.5V leads 39.5 to 31.2.

## Snapshot

| | DeepSeek Coder 1.3B | GLM-4.5V |
|---|---|---|
| Provider | DeepSeek | Z.ai (Zhipu) |
| Noometry Index | 35.0 | 39.8 |
| Rank | — | 158 |
| Context | — | 64K |
| Input $/M | — | $0.60 |
| Output $/M | — | $1.80 |
| Weights | Open | Open |

## Coding

- DeepSeek Coder 1.3B: 31.2 (#287)
- GLM-4.5V: 39.5 (#155)

| Benchmark | DeepSeek Coder 1.3B | GLM-4.5V |
|---|---|---|
| BigCodeBench Instruct | 22.8% | — |
| LMArena Coding | — | 1347 |
| BigCodeBench Complete | 29.6% | — |
| HumanEval+ | 60.4% | — |
| MBPP+ | 54.8% | — |

## Reasoning

- DeepSeek Coder 1.3B: —
- GLM-4.5V: 27.4 (#119)

| Benchmark | DeepSeek Coder 1.3B | GLM-4.5V |
|---|---|---|
| Kagi LLM Benchmark | — | 59.8% |
| LMArena Hard Prompts | — | 1334 |
| Epoch Capabilities Index | 63.6 | — |
| WinoGrande | 53.3% | — |

## Math

- DeepSeek Coder 1.3B: —
- GLM-4.5V: 37.4 (#159)

| Benchmark | DeepSeek Coder 1.3B | GLM-4.5V |
|---|---|---|
| LMArena Math | — | 1354 |
| GSM8K | 4.4% | — |

## Knowledge

- DeepSeek Coder 1.3B: —
- GLM-4.5V: 37.5 (#156)

| Benchmark | DeepSeek Coder 1.3B | GLM-4.5V |
|---|---|---|
| LMArena Expert | — | 1353 |
| ARC (AI2) Challenge | 25.4% | — |
| MMLU | 25.8% | — |

## Multimodal

- DeepSeek Coder 1.3B: —
- GLM-4.5V: 34.3 (#92)

| Benchmark | DeepSeek Coder 1.3B | GLM-4.5V |
|---|---|---|
| LMArena Vision | — | 1154 |

## Multilingual

- DeepSeek Coder 1.3B: —
- GLM-4.5V: 44.6 (#177)

| Benchmark | DeepSeek Coder 1.3B | GLM-4.5V |
|---|---|---|
| LMArena Non-English | — | 1303 |
| LMArena Chinese | — | 1337 |
| LMArena Russian | — | 1298 |
| LMArena Spanish | — | 1336 |

## Instruction Following

- DeepSeek Coder 1.3B: —
- GLM-4.5V: 69.2 (#175)

| Benchmark | DeepSeek Coder 1.3B | GLM-4.5V |
|---|---|---|
| LMArena Instruction Following | — | 1311 |

## Long Context

- DeepSeek Coder 1.3B: —
- GLM-4.5V: 39.6 (#171)

| Benchmark | DeepSeek Coder 1.3B | GLM-4.5V |
|---|---|---|
| LMArena Longer Query | — | 1304 |

## Writing & Preference

- DeepSeek Coder 1.3B: —
- GLM-4.5V: 52.5 (#170)

| Benchmark | DeepSeek Coder 1.3B | GLM-4.5V |
|---|---|---|
| LMArena Text | — | 1333 |
| LMArena Creative Writing | — | 1295 |
| LMArena Multi-Turn | — | 1332 |

## FAQ

### Is DeepSeek Coder 1.3B better than GLM-4.5V?

GLM-4.5V has enough public results to be ranked (#158); DeepSeek Coder 1.3B does not yet, so treat this comparison as directional.

### Is DeepSeek Coder 1.3B or GLM-4.5V better for coding?

GLM-4.5V scores higher on coding benchmarks: 39.5 versus 31.2 in the Noometry coding category.

### How many benchmarks do DeepSeek Coder 1.3B and GLM-4.5V share?

0 benchmarks have published results for both models. DeepSeek Coder 1.3B has 9 scored results on Noometry and GLM-4.5V has 15.