# Deepseek Coder v2 vs Qwen1.5-14B

> Deepseek Coder v2 is the stronger model overall, scoring 35.3 to 32.1 on the Noometry Index.

- Canonical page: https://noometry.com/compare/deepseek-coder-v2-vs-qwen1-5-14b
- Last updated: 2026-10-10
- Shared benchmarks: 16

## Summary

- They share 16 benchmarks with published results for both. Deepseek Coder v2 scores higher in 8 categories and Qwen1.5-14B in 0 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in multilingual, where Deepseek Coder v2 leads 36.4 to 30.8.

## Snapshot

| | Deepseek Coder v2 | Qwen1.5-14B |
|---|---|---|
| Provider | DeepSeek | Alibaba (Qwen) |
| Noometry Index | 35.3 | 32.1 |
| Rank | 217 | 250 |
| Context | — | — |
| Input $/M | — | — |
| Output $/M | — | — |
| Weights | Open | Open |

## Coding

- Deepseek Coder v2: 37.5 (#178)
- Qwen1.5-14B: 32.5 (#259)

| Benchmark | Deepseek Coder v2 | Qwen1.5-14B |
|---|---|---|
| LMArena Coding | 1251 | 1138 |
| BigCodeBench Instruct | 48.2% | — |
| BigCodeBench Complete | 59.7% | — |
| HumanEval+ | 82.3% | — |
| MBPP+ | 75.1% | — |

## Reasoning

- Deepseek Coder v2: 22.6 (#175)
- Qwen1.5-14B: 20.5 (#217)

| Benchmark | Deepseek Coder v2 | Qwen1.5-14B |
|---|---|---|
| LMArena Hard Prompts | 1207 | 1113 |
| WinoGrande | 83.7% | — |

## Math

- Deepseek Coder v2: 32.3 (#188)
- Qwen1.5-14B: 29.9 (#214)

| Benchmark | Deepseek Coder v2 | Qwen1.5-14B |
|---|---|---|
| LMArena Math | 1241 | 1125 |
| GSM8K | 94.5% | — |

## Knowledge

- Deepseek Coder v2: 31.7 (#209)
- Qwen1.5-14B: 29.3 (#230)

| Benchmark | Deepseek Coder v2 | Qwen1.5-14B |
|---|---|---|
| LMArena Expert | 1181 | 1094 |
| ARC (AI2) Challenge | 64.3% | — |
| MMLU | — | 68.6% |

## Multilingual

- Deepseek Coder v2: 36.4 (#235)
- Qwen1.5-14B: 30.8 (#257)

| Benchmark | Deepseek Coder v2 | Qwen1.5-14B |
|---|---|---|
| LMArena Non-English | 1182 | 1095 |
| LMArena Chinese | 1201 | 1147 |
| LMArena French | 1184 | 1115 |
| LMArena German | 1164 | 1043 |
| LMArena Japanese | 1126 | 1019 |
| LMArena Russian | 1188 | 1046 |
| LMArena Spanish | 1153 | 1085 |
| LMArena Korean | 1104 | — |

## Instruction Following

- Deepseek Coder v2: 61.9 (#237)
- Qwen1.5-14B: 57.1 (#266)

| Benchmark | Deepseek Coder v2 | Qwen1.5-14B |
|---|---|---|
| LMArena Instruction Following | 1180 | 1102 |

## Long Context

- Deepseek Coder v2: 37.0 (#219)
- Qwen1.5-14B: 33.7 (#252)

| Benchmark | Deepseek Coder v2 | Qwen1.5-14B |
|---|---|---|
| LMArena Longer Query | 1219 | 1113 |

## Writing & Preference

- Deepseek Coder v2: 38.4 (#249)
- Qwen1.5-14B: 33.7 (#270)

| Benchmark | Deepseek Coder v2 | Qwen1.5-14B |
|---|---|---|
| LMArena Text | 1191 | 1128 |
| LMArena Creative Writing | 1120 | 1091 |
| LMArena Multi-Turn | 1176 | 1110 |

## FAQ

### Is Deepseek Coder v2 better than Qwen1.5-14B?

Deepseek Coder v2 is the stronger model overall, scoring 35.3 to 32.1 on the Noometry Index.

### Is Deepseek Coder v2 or Qwen1.5-14B better for coding?

Deepseek Coder v2 scores higher on coding benchmarks: 37.5 versus 32.5 in the Noometry coding category.

### How many benchmarks do Deepseek Coder v2 and Qwen1.5-14B share?

16 benchmarks have published results for both models. Deepseek Coder v2 has 24 scored results on Noometry and Qwen1.5-14B has 17.