# Deepseek Coder v2 vs Qwen3.8 27B

> Qwen3.8 27B is the stronger model overall, scoring 46.0 to 35.9 on the Noometry Index.

- Canonical page: https://noometry.com/compare/deepseek-coder-v2-vs-qwen3-8-27b
- Last updated: 2026-10-11
- Shared benchmarks: 17

## Summary

- They share 17 benchmarks with published results for both. Deepseek Coder v2 scores higher in 0 categories and Qwen3.8 27B in 8 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where Qwen3.8 27B leads 65.8 to 38.2.

## Snapshot

| | Deepseek Coder v2 | Qwen3.8 27B |
|---|---|---|
| Provider | DeepSeek | Alibaba (Qwen) |
| Noometry Index | 35.9 | 46.0 |
| Rank | 220 | 68 |
| Context | — | 262K |
| Input $/M | — | $0.04 |
| Output $/M | — | $2.30 |
| Weights | Open | Open |

## Coding

- Deepseek Coder v2: 38.1 (#183)
- Qwen3.8 27B: 50.5 (#44)

| Benchmark | Deepseek Coder v2 | Qwen3.8 27B |
|---|---|---|
| LMArena Coding | 1251 | 1482 |
| LMArena WebDev | — | 1593 |
| SciCode | — | 46.6% |
| BigCodeBench Instruct | 48.2% | — |
| BigCodeBench Complete | 59.7% | — |
| HumanEval+ | 82.3% | — |
| MBPP+ | 75.1% | — |

## Agentic & Tool Use

- Deepseek Coder v2: —
- Qwen3.8 27B: 32.9 (#57)

| Benchmark | Deepseek Coder v2 | Qwen3.8 27B |
|---|---|---|
| APEX-Agents | — | 47.5% |

## Reasoning

- Deepseek Coder v2: 23.6 (#176)
- Qwen3.8 27B: 41.0 (#54)

| Benchmark | Deepseek Coder v2 | Qwen3.8 27B |
|---|---|---|
| LMArena Hard Prompts | 1207 | 1460 |
| ARC-AGI-2 | — | 42.4% |
| NYT Connections (extended) | — | 54.5% |
| ARC-AGI-1 | — | 87.5% |
| CritPt | — | 5.4% |
| DTBench | — | 88% |
| LMCA | — | 41.4% |
| Surface Evolver Bench | — | 45% |
| Epoch Capabilities Index | — | 149.38 |
| WinoGrande | 83.7% | — |

## Math

- Deepseek Coder v2: 34.9 (#190)
- Qwen3.8 27B: 37.1 (#161)

| Benchmark | Deepseek Coder v2 | Qwen3.8 27B |
|---|---|---|
| LMArena Math | 1241 | 1456 |
| ProofBench | — | 16% |
| GSM8K | 94.5% | — |

## Knowledge

- Deepseek Coder v2: 32.3 (#212)
- Qwen3.8 27B: 41.6 (#109)

| Benchmark | Deepseek Coder v2 | Qwen3.8 27B |
|---|---|---|
| LMArena Expert | 1181 | 1482 |
| ARC (AI2) Challenge | 64.3% | — |

## Multimodal

- Deepseek Coder v2: —
- Qwen3.8 27B: 41.3 (#37)

| Benchmark | Deepseek Coder v2 | Qwen3.8 27B |
|---|---|---|
| LMArena Vision | — | 1271 |

## Multilingual

- Deepseek Coder v2: 36.3 (#240)
- Qwen3.8 27B: 53.7 (#60)

| Benchmark | Deepseek Coder v2 | Qwen3.8 27B |
|---|---|---|
| LMArena Non-English | 1182 | 1430 |
| LMArena Chinese | 1201 | 1504 |
| LMArena French | 1185 | 1465 |
| LMArena German | 1164 | 1438 |
| LMArena Japanese | 1126 | 1384 |
| LMArena Korean | 1104 | 1393 |
| LMArena Russian | 1188 | 1415 |
| LMArena Spanish | 1153 | 1448 |

## Instruction Following

- Deepseek Coder v2: 61.7 (#242)
- Qwen3.8 27B: 75.8 (#53)

| Benchmark | Deepseek Coder v2 | Qwen3.8 27B |
|---|---|---|
| LMArena Instruction Following | 1180 | 1439 |

## Long Context

- Deepseek Coder v2: 37.0 (#224)
- Qwen3.8 27B: 44.3 (#70)

| Benchmark | Deepseek Coder v2 | Qwen3.8 27B |
|---|---|---|
| LMArena Longer Query | 1219 | 1450 |

## Writing & Preference

- Deepseek Coder v2: 38.2 (#253)
- Qwen3.8 27B: 65.8 (#43)

| Benchmark | Deepseek Coder v2 | Qwen3.8 27B |
|---|---|---|
| LMArena Text | 1191 | 1441 |
| LMArena Creative Writing | 1120 | 1384 |
| LMArena Multi-Turn | 1177 | 1441 |
| EQ-Bench Creative Writing | — | 1671 |

## FAQ

### Is Deepseek Coder v2 better than Qwen3.8 27B?

Qwen3.8 27B is the stronger model overall, scoring 46.0 to 35.9 on the Noometry Index.

### Is Deepseek Coder v2 or Qwen3.8 27B better for coding?

Qwen3.8 27B scores higher on coding benchmarks: 50.5 versus 38.1 in the Noometry coding category.

### How many benchmarks do Deepseek Coder v2 and Qwen3.8 27B share?

17 benchmarks have published results for both models. Deepseek Coder v2 has 24 scored results on Noometry and Qwen3.8 27B has 31.