Quick answer: Qwen3.5 35B A3B is Alibaba's September 2025 compact MoE scoring 61.0% BrowseComp, 47.4% HLE, 85.3% MMLU-Pro, 70.2% IFBench, and 75.1% MMMU-Pro. Apache 2.0 — 35B total / 3B active.
Where Qwen3.5 35B A3B leads
Where it lags
Best for: Cost-efficient MoE open-source deployments needing HLE + MMLU-Pro coverage; compact inference with Qwen3.5-tier reasoning.
Qwen3.5 35B A3B is the compact MoE variant of Qwen3.5, running 3B active parameters from 35B total. Released September 2025 alongside the dense Qwen3.5 27B, it trades some flexibility for lower inference cost.
With 47.4% HLE and 85.3% MMLU-Pro at 3B active params, it outperforms many larger dense models on these benchmarks.
| Field | Value |
|---|---|
| Organization | Alibaba |
| License | Apache 2.0 |
| HuggingFace | Qwen/Qwen3.5-35B-A3B |
| Release date | September 2025 |
| Parameters | 35B total / 3B active (MoE) |
| Modality | Text only |
Open weights under Apache 2.0 — self-host at no cost.
| Benchmark | Score | Source | Date |
|---|---|---|---|
| BrowseComp | 61.0% | Benchgen evaluation | 2025-09 |
| Humanity's Last Exam | 47.4% | Benchgen evaluation | 2025-09 |
| MMLU-Pro | 85.3% | Benchgen evaluation | 2025-09 |
| IFBench | 70.2% | Benchgen evaluation | 2025-09 |
| MMMU-Pro | 75.1% | Benchgen evaluation | 2025-09 |
| Model | HLE | MMLU-Pro | Active Params | License |
|---|---|---|---|---|
| Qwen3.5 35B A3B | 47.4% | 85.3% | 3B | Apache 2.0 |
| Qwen3.5 27B | 48.5% | — | 27B dense | Apache 2.0 |
| Qwen3.6 35B A3B | — | 85.2% | 3B | Apache 2.0 |
Qwen3.5 35B A3B vs Qwen3.5 27B: virtually equal HLE (47.4% vs 48.5%) but 35B A3B runs at 3B active — 9x lower inference cost. For production cost-efficiency: 35B A3B.
Specs from Alibaba's Qwen3.5 35B A3B release (September 2025) and Benchgen evaluations. Last updated 2026-07-24.
This model isn’t on any benchmark leaderboard yet.