Qwen3.5 27B
Qwen3.5 27B is Alibaba's dense flagship-tier release in the Qwen3.5 family, under Apache-2.0 with a 256K context. Vendor-reported SWE-bench Verified sits at 72.4, positioning it above the smaller Qwen3.5 9B on coding tasks.
Overview
Qwen3.5 27B is Alibaba's dense flagship-tier release in the Qwen3.5 family, under Apache-2.0 with a 256K context. Vendor-reported SWE-bench Verified sits at 72.4, positioning it above the smaller Qwen3.5 9B on coding tasks.
Strengths
- Apache-2.0 license with commercial use allowed
- 256K context at a 17GB Q4_K_M footprint
- Dense 27B quality tier, no MoE routing overhead
Weaknesses
- 17GB weights leave little room on 24GB cards once KV cache is counted at long context
- Superseded within the same family by Qwen3.6 27B (April 2026) on several benchmarks
Quantization variants
Each quantization trades model quality for file size and VRAM. Q4_K_M is the most popular starting point.
| Quantization | File size | VRAM required |
|---|---|---|
| Q4_K_M | 17.0 GB | 21 GB |
Get the model
Ollama
One-line install
ollama run qwen3.5:27bRead our Ollama review →Hardware that runs this
Cards with enough VRAM for at least one quantization of Qwen3.5 27B.
Models worth comparing
Same parameter band, plus what's one tier above and below — so you can decide what actually fits your hardware.
Frequently asked
What's the minimum VRAM to run Qwen3.5 27B?
Can I use Qwen3.5 27B commercially?
What's the context length of Qwen3.5 27B?
How do I install Qwen3.5 27B with Ollama?
Source: Vendor official documentation
Reviewed by RunLocalAI Editorial. See our editorial policy for how we research and verify model claims.
Related — keep moving
Verify Qwen3.5 27B runs on your specific hardware before committing money.