Alibaba / text + image

Qwen3.6 27B

The Qwen3.6 27B checkpoint is published by Alibaba for language and reasoning. Its weights are available under Apache 2.0; that alone does not establish that its code and all components are open source.

When to consider it

Consider this Qwen checkpoint for coding, reasoning or text with image input; the publisher documents local serving paths.

Check before choosing

The publisher's full-context serving example uses eight GPUs. The generic Q4 weight estimate is not a tested single-GPU configuration.

What is documented

Checkpoint / version: Qwen/Qwen3.6-27B ↗
Weight license: Apache 2.0 ↗
Task and modality: language and reasoning · text + image
Count and basis: 27B · basis not recorded
Context: 262,144 tokens published for this model
Quality evidence: 64.0 · LiveBench 2026-06-25 overall · source ↗
Runtime and precision: Publisher documents vLLM >=0.19.0. Precision and local execution are not verified by this site.

Run locally: known and unknown

~29 GB generic Q4 planning memory. Formula: parameters × 0.625 bytes, plus 20% working allowance and 8 GB reserve. This is neither measured VRAM nor checkpoint download size.

Q4 planning estimate only. Check checkpoint format, runtime support, KV cache, context, batch size and offload before choosing hardware.

Publisher's example

Publisher example for 262,144 tokens with eight GPUs; not a minimum or a locally reproduced test. deployment instructions ↗

vllm serve Qwen/Qwen3.6-27B --port 8000 --tensor-parallel-size 8 --max-model-len 262144 --reasoning-parser qwen3

Evidence level: Generic estimate only; no execution reproduced by this site.

Before downloading

Check the exact checkpoint and license linked here.
Confirm a compatible runtime and precision or quantization for your platform.
Allow for context, batch size and any extra media components beyond the weights.

Catalog reviewed: 2026-09-25. Benchmark release: 2026-06-25; snapshot collected: 2026-09-22.