# Deepseek Coder v2 vs Qwen1.5 4b Chat

> Deepseek Coder v2 is the stronger model overall, scoring 35.9 to 28.8 on the Noometry Index.

- Canonical page: https://noometry.com/compare/deepseek-coder-v2-vs-qwen1-5-4b-chat
- Last updated: 2026-10-11
- Shared benchmarks: 13

## Summary

- They share 13 benchmarks with published results for both. Deepseek Coder v2 scores higher in 8 categories and Qwen1.5 4b Chat in 0 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where Deepseek Coder v2 leads 38.2 to 23.8.

## Snapshot

| | Deepseek Coder v2 | Qwen1.5 4b Chat |
|---|---|---|
| Provider | DeepSeek | Alibaba (Qwen) |
| Noometry Index | 35.9 | 28.8 |
| Rank | 220 | 322 |
| Context | — | — |
| Input $/M | — | — |
| Output $/M | — | — |
| Weights | Open | Open |

## Coding

- Deepseek Coder v2: 38.1 (#183)
- Qwen1.5 4b Chat: 29.1 (#308)

| Benchmark | Deepseek Coder v2 | Qwen1.5 4b Chat |
|---|---|---|
| LMArena Coding | 1251 | 999 |
| BigCodeBench Instruct | 48.2% | — |
| BigCodeBench Complete | 59.7% | — |
| HumanEval+ | 82.3% | — |
| MBPP+ | 75.1% | — |

## Reasoning

- Deepseek Coder v2: 23.6 (#176)
- Qwen1.5 4b Chat: 18.5 (#279)

| Benchmark | Deepseek Coder v2 | Qwen1.5 4b Chat |
|---|---|---|
| LMArena Hard Prompts | 1207 | 976 |
| WinoGrande | 83.7% | — |

## Math

- Deepseek Coder v2: 34.9 (#190)
- Qwen1.5 4b Chat: 30.4 (#234)

| Benchmark | Deepseek Coder v2 | Qwen1.5 4b Chat |
|---|---|---|
| LMArena Math | 1241 | 1026 |
| GSM8K | 94.5% | — |

## Knowledge

- Deepseek Coder v2: 32.3 (#212)
- Qwen1.5 4b Chat: 26.7 (#255)

| Benchmark | Deepseek Coder v2 | Qwen1.5 4b Chat |
|---|---|---|
| LMArena Expert | 1181 | 980 |
| ARC (AI2) Challenge | 64.3% | — |

## Multilingual

- Deepseek Coder v2: 36.3 (#240)
- Qwen1.5 4b Chat: 24.1 (#290)

| Benchmark | Deepseek Coder v2 | Qwen1.5 4b Chat |
|---|---|---|
| LMArena Non-English | 1182 | 979 |
| LMArena Chinese | 1201 | 1024 |
| LMArena German | 1164 | 902 |
| LMArena Russian | 1188 | 952 |
| LMArena French | 1185 | — |
| LMArena Japanese | 1126 | — |
| LMArena Korean | 1104 | — |
| LMArena Spanish | 1153 | — |

## Instruction Following

- Deepseek Coder v2: 61.7 (#242)
- Qwen1.5 4b Chat: 49.0 (#300)

| Benchmark | Deepseek Coder v2 | Qwen1.5 4b Chat |
|---|---|---|
| LMArena Instruction Following | 1180 | 978 |

## Long Context

- Deepseek Coder v2: 37.0 (#224)
- Qwen1.5 4b Chat: 30.1 (#290)

| Benchmark | Deepseek Coder v2 | Qwen1.5 4b Chat |
|---|---|---|
| LMArena Longer Query | 1219 | 988 |

## Writing & Preference

- Deepseek Coder v2: 38.2 (#253)
- Qwen1.5 4b Chat: 23.8 (#309)

| Benchmark | Deepseek Coder v2 | Qwen1.5 4b Chat |
|---|---|---|
| LMArena Text | 1191 | 997 |
| LMArena Creative Writing | 1120 | 969 |
| LMArena Multi-Turn | 1177 | 977 |

## FAQ

### Is Deepseek Coder v2 better than Qwen1.5 4b Chat?

Deepseek Coder v2 is the stronger model overall, scoring 35.9 to 28.8 on the Noometry Index.

### Is Deepseek Coder v2 or Qwen1.5 4b Chat better for coding?

Deepseek Coder v2 scores higher on coding benchmarks: 38.1 versus 29.1 in the Noometry coding category.

### How many benchmarks do Deepseek Coder v2 and Qwen1.5 4b Chat share?

13 benchmarks have published results for both models. Deepseek Coder v2 has 24 scored results on Noometry and Qwen1.5 4b Chat has 13.