# DeepSeek Coder 33B vs Qwen3-1.7B

> Qwen3-1.7B has enough public results to be ranked (#336); DeepSeek Coder 33B does not yet, so treat this comparison as directional.

- Canonical page: https://noometry.com/compare/deepseek-coder-33b-vs-qwen3-1-7b
- Last updated: 2026-10-11
- Shared benchmarks: 0

## Snapshot

| | DeepSeek Coder 33B | Qwen3-1.7B |
|---|---|---|
| Provider | DeepSeek | Alibaba (Qwen) |
| Noometry Index | 38.9 | 26.6 |
| Rank | — | 336 |
| Context | — | — |
| Input $/M | — | — |
| Output $/M | — | — |
| Weights | Open | Open |

## Coding

- DeepSeek Coder 33B: 38.0 (#184)
- Qwen3-1.7B: —

| Benchmark | DeepSeek Coder 33B | Qwen3-1.7B |
|---|---|---|
| BigCodeBench Instruct | 42% | — |
| BigCodeBench Complete | 51.1% | — |
| HumanEval+ | 75% | — |
| MBPP+ | 70.1% | — |

## Agentic & Tool Use

- DeepSeek Coder 33B: —
- Qwen3-1.7B: 24.7 (#115)

| Benchmark | DeepSeek Coder 33B | Qwen3-1.7B |
|---|---|---|
| Berkeley Function Calling Leaderboard | — | 28.4% |

## Reasoning

- DeepSeek Coder 33B: —
- Qwen3-1.7B: 19.2 (#267)

| Benchmark | DeepSeek Coder 33B | Qwen3-1.7B |
|---|---|---|
| Chess Puzzles | — | 0% |
| Epoch Capabilities Index | 96.32 | — |
| WinoGrande | 62% | — |

## Math

- DeepSeek Coder 33B: —
- Qwen3-1.7B: 16.3 (#294)

| Benchmark | DeepSeek Coder 33B | Qwen3-1.7B |
|---|---|---|
| OTIS Mock AIME 2024-2025 | — | 8.1% |
| GSM8K | 35.4% | — |

## Knowledge

- DeepSeek Coder 33B: —
- Qwen3-1.7B: 19.6 (#278)

| Benchmark | DeepSeek Coder 33B | Qwen3-1.7B |
|---|---|---|
| GPQA Diamond | — | 38% |
| ARC (AI2) Challenge | 42.2% | — |
| MMLU | 39.4% | — |

## FAQ

### Is DeepSeek Coder 33B better than Qwen3-1.7B?

Qwen3-1.7B has enough public results to be ranked (#336); DeepSeek Coder 33B does not yet, so treat this comparison as directional.

### How many benchmarks do DeepSeek Coder 33B and Qwen3-1.7B share?

0 benchmarks have published results for both models. DeepSeek Coder 33B has 9 scored results on Noometry and Qwen3-1.7B has 4.