# Deepseek Coder v2 vs Qwen3.6 27B

> Qwen3.6 27B is the stronger model overall, scoring 41.9 to 35.3 on the Noometry Index.

- Canonical page: https://noometry.com/compare/deepseek-coder-v2-vs-qwen3-6-27b
- Last updated: 2026-10-10
- Shared benchmarks: 0

## Summary

- The widest gap is in knowledge, where Qwen3.6 27B leads 52.4 to 31.7.

## Snapshot

| | Deepseek Coder v2 | Qwen3.6 27B |
|---|---|---|
| Provider | DeepSeek | Alibaba (Qwen) |
| Noometry Index | 35.3 | 41.9 |
| Rank | 217 | 112 |
| Context | — | 262K |
| Input $/M | — | $0.60 |
| Output $/M | — | $3.60 |
| Weights | Open | Open |

## Coding

- Deepseek Coder v2: 37.5 (#178)
- Qwen3.6 27B: 38.5 (#162)

| Benchmark | Deepseek Coder v2 | Qwen3.6 27B |
|---|---|---|
| SciCode | — | 37.3% |
| BigCodeBench Instruct | 48.2% | — |
| LMArena Coding | 1251 | — |
| BigCodeBench Complete | 59.7% | — |
| HumanEval+ | 82.3% | — |
| MBPP+ | 75.1% | — |

## Reasoning

- Deepseek Coder v2: 22.6 (#175)
- Qwen3.6 27B: 24.4 (#148)

| Benchmark | Deepseek Coder v2 | Qwen3.6 27B |
|---|---|---|
| CritPt | — | 0.9% |
| Chess Puzzles | — | 22% |
| LMArena Hard Prompts | 1207 | — |
| Mystery Game Puzzles | — | 7% |
| DTBench | — | 78.1% |
| LMCA | — | 34.5% |
| Epoch Capabilities Index | — | 146.47 |
| WinoGrande | 83.7% | — |

## Math

- Deepseek Coder v2: 32.3 (#188)
- Qwen3.6 27B: 47.5 (#56)

| Benchmark | Deepseek Coder v2 | Qwen3.6 27B |
|---|---|---|
| FrontierMath (Tiers 1-3) | — | 35.1% |
| OTIS Mock AIME 2024-2025 | — | 91.1% |
| LMArena Math | 1241 | — |
| GSM8K | 94.5% | — |

## Knowledge

- Deepseek Coder v2: 31.7 (#209)
- Qwen3.6 27B: 52.4 (#58)

| Benchmark | Deepseek Coder v2 | Qwen3.6 27B |
|---|---|---|
| GPQA Diamond | — | 85.9% |
| LMArena Expert | 1181 | — |
| ARC (AI2) Challenge | 64.3% | — |

## Multilingual

- Deepseek Coder v2: 36.4 (#235)
- Qwen3.6 27B: —

| Benchmark | Deepseek Coder v2 | Qwen3.6 27B |
|---|---|---|
| LMArena Non-English | 1182 | — |
| LMArena Chinese | 1201 | — |
| LMArena French | 1184 | — |
| LMArena German | 1164 | — |
| LMArena Japanese | 1126 | — |
| LMArena Korean | 1104 | — |
| LMArena Russian | 1188 | — |
| LMArena Spanish | 1153 | — |

## Instruction Following

- Deepseek Coder v2: 61.9 (#237)
- Qwen3.6 27B: —

| Benchmark | Deepseek Coder v2 | Qwen3.6 27B |
|---|---|---|
| LMArena Instruction Following | 1180 | — |

## Long Context

- Deepseek Coder v2: 37.0 (#219)
- Qwen3.6 27B: —

| Benchmark | Deepseek Coder v2 | Qwen3.6 27B |
|---|---|---|
| LMArena Longer Query | 1219 | — |

## Writing & Preference

- Deepseek Coder v2: 38.4 (#249)
- Qwen3.6 27B: 50.3 (#180)

| Benchmark | Deepseek Coder v2 | Qwen3.6 27B |
|---|---|---|
| LMArena Text | 1191 | — |
| LMArena Creative Writing | 1120 | — |
| EQ-Bench 4 | — | 1026 |
| LMArena Multi-Turn | 1176 | — |

## FAQ

### Is Deepseek Coder v2 better than Qwen3.6 27B?

Qwen3.6 27B is the stronger model overall, scoring 41.9 to 35.3 on the Noometry Index.

### Is Deepseek Coder v2 or Qwen3.6 27B better for coding?

They score almost the same on coding (37.5 vs 38.5); test both on your own repository before choosing.

### How many benchmarks do Deepseek Coder v2 and Qwen3.6 27B share?

0 benchmarks have published results for both models. Deepseek Coder v2 has 24 scored results on Noometry and Qwen3.6 27B has 11.