Hardware to run Qwen3.6 35B A3B
The most popular MoE model for local use in 2026: fast, with long contexts that barely use memory.
- Developer
- Alibaba (Qwen)
- Parameters
- 36B (active 3B)
- Max context
- 256K tokens
- Licence
- Apache 2.0
Model card on Hugging FaceGGUF filesOllama: ollama run qwen3.6:35b
Memory needed
Factual dataWeights plus context cache plus about 1.5 GB of runtime buffers, by quantisation and context length.
| Quantisation | 8K tokens | 32K tokens | 128K tokens |
|---|---|---|---|
| Q4_K_M | 24 GB | 24 GB | 26 GB |
| Q8_0 | 39 GB | 39 GB | 41 GB |
| FP16 | 74 GB | 74 GB | 76 GB |
Hardware that runs it
Estimate15 platforms can run Qwen3.6 35B A3B at Q4_K_M with a 32K-token context. Needs about 24 GB.
Cheapest that runs it
Fastest that runs it
Model weightsContext cache (KV)RuntimeUsable limit (colour = verdict)
RunsRuns comfortably (15)
| Platform | Smallest configuration | Memory | Speed ceiling | Price from |
|---|---|---|---|---|
| RTX PRO 6000 | 96 GB | ≤ 972 tok/s | $8,565 | |
| RTX 5090 | 32 GB | ≤ 972 tok/s | $4,329 | |
| RTX PRO 5000 | 48 GB | ≤ 729 tok/s | $4,500 | |
| Mac Studio M5 Ultra | 96 GB | ≤ 651 tok/s | $5,499 | |
| RTX PRO 4500 | 32 GB | ≤ 486 tok/s | $2,500 | |
| Radeon AI PRO R9700 | 32 GB | ≤ 350 tok/s | $1,550 | |
| Mac Studio M5 Max | 128 GB | ≤ 333 tok/s | — | |
| Arc Pro B70 | 32 GB | ≤ 330 tok/s | $1,268 | |
| Mac mini M5 Pro | 64 GB | ≤ 166 tok/s | — | |
| Ryzen AI Max+ PRO 495 | 192 GB | ≤ 148 tok/s | $7,399 | |
| Jetson AGX Thor | 128 GB | ≤ 148 tok/s | $5,499 | |
| DGX Spark / GB10 | 128 GB | ≤ 148 tok/s | $5,000 | |
| Ryzen AI Max+ 395 | 64 GB | ≤ 139 tok/s | $2,200 | |
| Jetson AGX Orin 64GB | 64 GB | ≤ 111 tok/s | $1,999 | |
| Ryzen AI 9 HX 370 | 32 GB | ≤ 65 tok/s | — |
Partly in system RAMOnly with part of the model in system RAM (14)
| Platform | Smallest configuration | Memory | Speed ceiling | Price from |
|---|---|---|---|---|
| RX 7900 XTX | 24 GB | — | $1,358 | |
| Arc Pro B60 | 24 GB | — | $599 | |
| RTX 3090 | 24 GB | — | $1,340 | |
| RTX 4090 | 24 GB | — | $1,599 | |
| RTX PRO 4000 | 24 GB | — | $1,500 | |
| RX 9060 XT 16 GB | 16 GB | — | $349 | |
| RX 9070 XT | 16 GB | — | $759 | |
| Arc Pro B50 | 16 GB | — | $349 | |
| RTX 5060 Ti 16 GB | 16 GB | — | $789 | |
| RTX 5070 Ti | 16 GB | — | $1,190 | |
| RTX 5080 | 16 GB | — | $1,830 | |
| Arc B580 | 12 GB | — | $249 | |
| RTX 3060 12 GB | 12 GB | — | $329 | |
| RTX 5070 | 12 GB | — | $1,010 |
Not enough memoryNot enough memory (2)
| Platform | Smallest configuration | Memory | Speed ceiling | Price from |
|---|---|---|---|---|
| Mac mini M6 | 32 GB | — | $899 | |
| Jetson Orin Nano Super | 8 GB | — | $399 |
Not supportedNot supported (2)
| Platform | Smallest configuration | Memory | Speed ceiling | Price from |
|---|---|---|---|---|
| RK3588 (Orange Pi 5 Plus and others) | 32 GB | — | — | — |
| Raspberry Pi AI HAT+ 2 | 8 GB | — | — | $200 |
Theoretical maximum for generating text: memory bandwidth divided by the bytes read per token. Real runs usually reach about half to three quarters of it.