dQwen3.5 Release - Block - MBPP: leaderboard
Base diffusion-model checkpoints; AR comparators follow the exact original publisher paths in the source manifest, including post-trained unsuffixed Qwen3.5 artifacts; 50B/100B adaptation tokens are distinct SWA trained checkpoints, never effort switches. Full-canvas/block decoding are separate boards; one token per step. MMLU5-shot likelihood; GSM8K8-shot1319; MATH5004-shot; HumanEval0-shot164; MBPP3-shot500; MBPP+3-shot378. No fewshot-dlms resampling fusion. Metric: Accuracy (%). Higher is better. Source: https://arxiv.org/html/2609.20751v1
Metric: Accuracy (%). Source: arxiv.org. Saturation forecast: Rough model projection: around 2026. 21 models tracked.
Top models
| # | Model | Score | Overall rank |
|---|---|---|---|
| 1 | Qwen2.5-Coder-7B (dQwen release AR checkpoint) | 68.4 | |
| 2 | Qwen2.5-7B (dQwen release AR checkpoint) | 64.4 | |
| 3 | Dream-Coder-7B (Base) | 62 | |
| 4 | Dream-7B (Base) | 56.6 | |
| 5 | Qwen3.5-9B (dQwen release AR checkpoint) | 55 | |
| 6 | dQwen3.5-9B-Base (50B adaptation tokens) | 51.6 | |
| 7 | dQwen3.5-9B-Base (100B adaptation tokens) | 51 | |
| 8 | dQwen3.5-4B-Base (100B adaptation tokens) | 48 | |
| 9 | dQwen3.5-4B-Base (50B adaptation tokens) | 46.2 | |
| 10 | Qwen3-1.7B (dQwen release AR checkpoint) | 43.8 |
Interactive version: theaggregate.ai/benchmark?slug=dqwen3-5-release-block-mbpp · How It Works · Data refreshed daily, snapshot 2026-10-17.