# Deepseek Coder v2 vs Qwen3-1.7B

> Deepseek Coder v2 is the stronger model overall, scoring 35.9 to 26.6 on the Noometry Index.

- Canonical page: https://noometry.com/compare/deepseek-coder-v2-vs-qwen3-1-7b
- Last updated: 2026-10-11
- Shared benchmarks: 0

## Summary

- The widest gap is in math, where Deepseek Coder v2 leads 34.9 to 16.3.

## Snapshot

| | Deepseek Coder v2 | Qwen3-1.7B |
|---|---|---|
| Provider | DeepSeek | Alibaba (Qwen) |
| Noometry Index | 35.9 | 26.6 |
| Rank | 220 | 336 |
| Context | — | — |
| Input $/M | — | — |
| Output $/M | — | — |
| Weights | Open | Open |

## Coding

- Deepseek Coder v2: 38.1 (#183)
- Qwen3-1.7B: —

| Benchmark | Deepseek Coder v2 | Qwen3-1.7B |
|---|---|---|
| BigCodeBench Instruct | 48.2% | — |
| LMArena Coding | 1251 | — |
| BigCodeBench Complete | 59.7% | — |
| HumanEval+ | 82.3% | — |
| MBPP+ | 75.1% | — |

## Agentic & Tool Use

- Deepseek Coder v2: —
- Qwen3-1.7B: 24.7 (#115)

| Benchmark | Deepseek Coder v2 | Qwen3-1.7B |
|---|---|---|
| Berkeley Function Calling Leaderboard | — | 28.4% |

## Reasoning

- Deepseek Coder v2: 23.6 (#176)
- Qwen3-1.7B: 19.2 (#267)

| Benchmark | Deepseek Coder v2 | Qwen3-1.7B |
|---|---|---|
| Chess Puzzles | — | 0% |
| LMArena Hard Prompts | 1207 | — |
| WinoGrande | 83.7% | — |

## Math

- Deepseek Coder v2: 34.9 (#190)
- Qwen3-1.7B: 16.3 (#294)

| Benchmark | Deepseek Coder v2 | Qwen3-1.7B |
|---|---|---|
| OTIS Mock AIME 2024-2025 | — | 8.1% |
| LMArena Math | 1241 | — |
| GSM8K | 94.5% | — |

## Knowledge

- Deepseek Coder v2: 32.3 (#212)
- Qwen3-1.7B: 19.6 (#278)

| Benchmark | Deepseek Coder v2 | Qwen3-1.7B |
|---|---|---|
| GPQA Diamond | — | 38% |
| LMArena Expert | 1181 | — |
| ARC (AI2) Challenge | 64.3% | — |

## Multilingual

- Deepseek Coder v2: 36.3 (#240)
- Qwen3-1.7B: —

| Benchmark | Deepseek Coder v2 | Qwen3-1.7B |
|---|---|---|
| LMArena Non-English | 1182 | — |
| LMArena Chinese | 1201 | — |
| LMArena French | 1185 | — |
| LMArena German | 1164 | — |
| LMArena Japanese | 1126 | — |
| LMArena Korean | 1104 | — |
| LMArena Russian | 1188 | — |
| LMArena Spanish | 1153 | — |

## Instruction Following

- Deepseek Coder v2: 61.7 (#242)
- Qwen3-1.7B: —

| Benchmark | Deepseek Coder v2 | Qwen3-1.7B |
|---|---|---|
| LMArena Instruction Following | 1180 | — |

## Long Context

- Deepseek Coder v2: 37.0 (#224)
- Qwen3-1.7B: —

| Benchmark | Deepseek Coder v2 | Qwen3-1.7B |
|---|---|---|
| LMArena Longer Query | 1219 | — |

## Writing & Preference

- Deepseek Coder v2: 38.2 (#253)
- Qwen3-1.7B: —

| Benchmark | Deepseek Coder v2 | Qwen3-1.7B |
|---|---|---|
| LMArena Text | 1191 | — |
| LMArena Creative Writing | 1120 | — |
| LMArena Multi-Turn | 1177 | — |

## FAQ

### Is Deepseek Coder v2 better than Qwen3-1.7B?

Deepseek Coder v2 is the stronger model overall, scoring 35.9 to 26.6 on the Noometry Index.

### How many benchmarks do Deepseek Coder v2 and Qwen3-1.7B share?

0 benchmarks have published results for both models. Deepseek Coder v2 has 24 scored results on Noometry and Qwen3-1.7B has 4.