the AI bench
VERIFIED JUNE 2026
All models

MODEL · ALIBABA · 27B DENSE

Qwen 3.6-27B

The April 2026 dense refresh that supersedes Qwen 3.5 27B — claims to beat the prior 397B MoE flagship on coding benchmarks while staying single-GPU deployable at Q4. The current dense top pick for 24 GB rigs and Mac 32+ GB.

License: Apache 2.0 · Context: 262K native, extendable to ~1M via YaRN · Released: April 22, 2026

The decision in five lines

The call
Buy — for chat
Best for
chat · docs
Runs on
16 hardware picks fit (cheapest: Minisforum UM890 Pro · $463)
Watch out
When you need fastest possible tok/s on 24 GB VRAM — the 3.6-35B-A3B MoE sibling runs ~6× faster for comparable quality because only 3B activate per token.
Evidence
Estimated · last verified April 2026

27B dense
PARAMETERS
DENSE
TYPE
262K
CONTEXT
~17 GB
VRAM AT Q4

Where we recommend this

Every tier slot in the planner where this model is a top or alternate pick. Pulled live from planner.js — when the planner refreshes, this table stays current.

CHAT · TOP
Qwen 3.6-27BApril 22 2026 dense refresh; supersedes Qwen 3.5 27B and claims to beat the prior 397B MoE flagship while staying single-GPU at Q4 (~17 GB).
DOCS · TOP
Qwen 3.6-27BApril 22 2026 dense refresh — 262K native context extensible to 1M, multimodal, single-GPU at Q4. Now the dense long-context top pick.

The call

The April 2026 dense refresh that supersedes Qwen 3.5 27B — claims to beat the prior 397B MoE flagship on coding benchmarks while staying single-GPU deployable at Q4. The current dense top pick for 24 GB rigs and Mac 32+ GB.

When not to use: When you need fastest possible tok/s on 24 GB VRAM — the 3.6-35B-A3B MoE sibling runs ~6× faster for comparable quality because only 3B activate per token. Tooling is brand-new (week-old at last verify); Qwen 3.5 27B is still the proven-stable fallback.

Runner notes

GGUFs available via unsloth and bartowski. Native Ollama tag may take 1–2 weeks to land. Use vLLM or llama.cpp for long-context work; MLX-community builds for Apple Silicon.

License
Apache 2.0
Released
April 22, 2026
Maker
Alibaba

Hardware that fits

Every hardware pick whose memory fits this model at the quant we recommend. Sorted cheapest-first — the top row is your best-value fit. Click through for the full buyer’s guide.

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