What hardware do you need to run Qwen3.6 27B?
Qwen3.6 27B at Q4_K_M is 17 GB of weights, with a context ceiling of 256k tokens. Not yet rated: released after our last ratings pass. The previous dense Qwen at this size; Qwen3.8 27B scores higher for the same memory.
How good is it, really?
On the Artificial Analysis Intelligence Index v4.3 it scores 22 (reasoning mode; 20 without), which puts it in the Haiku-class band. In the same band as Anthropic's cheap, fast tier. Every current OpenAI model scores above this band. Score source. See the whole table.
- Summarising — not rated
- Translation — not rated
- Everyday coding — not rated
- Reasoning & maths — not rated
- Agentic work — not rated
What it costs either way
Renting the same model costs $0.3 per million input tokens and $2 per million output (OpenRouter, cheapest active endpoint, checked 2026-09-15). Buying a machine only beats that if you use it hard enough, for long enough, that the hardware price divides down below the rental bill.
Machines that run it
| Machine | Price | Speed at 32k | Pay-back | |
|---|---|---|---|---|
| Strix Halo Framework Desktop, 32GB | $1,269 | 10 tok/s estimated | Pays back in 19 years | Run the numbers |
| Mac mini M6, 32GB | $1,299 | 6.7 tok/s estimated | Pays back in 19 years | Run the numbers |
| MacBook Pro M5 (14-inch), 32GB | $2,399 | 6 tok/s estimated | Pays back in 35 years | Run the numbers |
| Mac Studio M5 Max, 36GB | $2,499 | 18 tok/s estimated | Pays back in 36 years | Run the numbers |
| DGX Spark GB10 Grace Blackwell, 128GB | $4,699 | 11 tok/s estimated | Pays back in 70 years | Run the numbers |
One machine per family, cheapest first. Speeds are measured where a public benchmark exists and estimated from memory bandwidth otherwise; the calculator says which for any configuration.
The specifics
- Parameters
- 27.8B
- Quantisation
- Q4_K_M
- Weights on disk
- 17 GB
- KV cache
- 2.1 GB at 32k context — Hybrid: three linear-attention layers per full-attention layer, so 16 of 64 hold a growing cache.
- Maximum context
- 256k tokens (256k)
- Licence
- Apache 2.0
- Sources
- source 1