Qwen3.6 35B-A3B hardware requirements
About the model
- Parameters
- 35.95B total · 3B active (MoE)
- Attention
- Hybrid linear attention
- Max context
- 262,144 tokens
- Released
- 2026-04-15
- Model card
- Qwen3.6 35B-A3B on Hugging Face
GGUF files
| Quant | File size | Quality | Published by |
|---|---|---|---|
| Q2_K | 13.51 GB | Heavy loss | Community GGUF · bartowski |
| IQ4_XS | 19.70 GB | Good balance | Community GGUF · bartowski |
| Q4_K_Mbaseline | 22.29 GB | Good balance | Community GGUF · bartowski |
| Q8_0 | 37.81 GB | Near-lossless | Community GGUF · bartowski |
Memory needed by quant and context
| Quant | 4k | 8k | 16k | 32k | 64k | 128k | 256k |
|---|---|---|---|---|---|---|---|
| Q2_K | 14.1 | 14.3 | 14.5 | 15.0 | 16.0 | 17.9 | 21.8 |
| IQ4_XS | 20.3 | 20.4 | 20.7 | 21.2 | 22.1 | 24.1 | 28.0 |
| Q4_K_M | 22.9 | 23.0 | 23.3 | 23.8 | 24.7 | 26.7 | 30.6 |
| Q8_0 | 38.4 | 38.6 | 38.8 | 39.3 | 40.3 | 42.2 | 46.1 |
Which GPUs can run Qwen3.6 35B-A3B?
How to read the verdicts
- Runs great
- Fully on the GPU at 20 tok/s or more
- Runs well
- Fully on the GPU at 8–20 tok/s; MoE experts in system RAM at 20 tok/s or more; or at least 90% on the GPU at 8 tok/s or more
- Runs slowly
- 2–8 tok/s; CPU-only; less than 90% on the GPU; or MoE experts in system RAM below 20 tok/s
- Won't run
- Does not fit, or under 2 tok/s
Scroll sideways to see every column.
| Hardware | Verdict | Speed | Quant | Memory | Runs as | Context | Notes | Price |
|---|---|---|---|---|---|---|---|---|
| GeForce RTX 5090 | Runs great | est. 235.0 tok/s188.0–282.0calibrated estimate ±20% | Q4_K_M | 23.6 / 32.0 GB | Full GPU | up to 256k | — | $4,200 street (as of 2026-08-09) |
| Radeon RX 7900 XTX | Runs great | est. 235.0 tok/s188.0–282.0calibrated estimate ±20% | Q4_K_M | 23.6 / 24.0 GB | Full GPU | up to 16k | — | $999 launch MSRP |
| GeForce RTX 3090 Ti | Runs great | est. 223.7 tok/s178.9–268.4calibrated estimate ±20% | Q4_K_M | 23.6 / 24.0 GB | Full GPU | up to 16k | — | $1,999 launch MSRP |
| GeForce RTX 4090 | Runs great | est. 223.7 tok/s178.9–268.4calibrated estimate ±20% | Q4_K_M | 23.6 / 24.0 GB | Full GPU | up to 16k | — | $2,755 street (as of 2026-08-09) |
| GeForce RTX 3090 | Runs great | est. 207.7 tok/s166.2–249.2calibrated estimate ±20% | Q4_K_M | 23.6 / 24.0 GB | Full GPU | up to 16k | — | $1,050 street (as of 2026-08-09) |
| GeForce RTX 5090 Laptop | Runs great | est. 198.8 tok/s159.1–238.6calibrated estimate ±20% | Q4_K_M | 23.6 / 24.0 GB | Full GPU | up to 16k | — | — |
| Apple M3 Ultra · 96 GB | Runs great | est. 117.1 tok/s93.7–140.5calibrated estimate ±20% | Q4_K_M | 23.0 / 67.2 GB | Unified memory | up to 256k | — | — |
| Apple M2 Ultra · 64 GB | Runs great | est. 114.4 tok/s91.5–137.3calibrated estimate ±20% | Q4_K_M | 23.0 / 44.8 GB | Unified memory | up to 256k | — | — |
| Apple M5 Max (40-core GPU) · 48 GB | Runs great | est. 90.8 tok/s72.7–109.0calibrated estimate ±20% | Q4_K_M | 23.0 / 33.6 GB | Unified memory | up to 256k | — | — |
| Apple M4 Max (40-core GPU) · 48 GB | Runs great | est. 80.8 tok/s64.6–96.9calibrated estimate ±20% | Q4_K_M | 23.0 / 33.6 GB | Unified memory | up to 256k | — | — |
| Apple M5 Max (32-core GPU) · 36 GB | Runs great | est. 68.1 tok/s54.4–81.7calibrated estimate ±20% | Q4_K_M | 23.0 / 25.2 GB | Unified memory | up to 64k | — | — |
| Ryzen AI Max+ 395 (Strix Halo) · 64 GB | Runs great | est. 66.9 tok/s53.5–80.3calibrated estimate ±20% | Q4_K_M | 23.0 / 44.8 GB | Unified memory | up to 128k | — | $1,999 launch MSRP |
| Apple M4 Max (32-core GPU) · 36 GB | Runs great | est. 60.7 tok/s48.5–72.8calibrated estimate ±20% | Q4_K_M | 23.0 / 25.2 GB | Unified memory | up to 64k | — | — |
| NVIDIA DGX Spark · 128 GB | Runs great | est. 53.8 tok/s43.1–64.6calibrated estimate ±20% | Q4_K_M | 23.0 / 89.6 GB | Unified memory | up to 128k | — | $3,999 launch MSRP |
| Apple M5 Pro · 48 GB | Runs great | est. 45.4 tok/s36.3–54.5calibrated estimate ±20% | Q4_K_M | 23.0 / 33.6 GB | Unified memory | up to 128k | — | — |
| Apple M4 Pro · 48 GB | Runs great | est. 40.4 tok/s32.3–48.5calibrated estimate ±20% | Q4_K_M | 23.0 / 33.6 GB | Unified memory | up to 64k | — | — |
| Intel Arc B580 | Runs well | est. 20.7 tok/s14.5–26.9theoretical estimate ±30% | Q4_K_M | 2.5 / 12.0 GB + 21.1 GB RAM | MoE experts in RAM | up to 256k |
| $290 street (as of 2026-08-09) |
| GeForce GTX 1080 Ti | Runs well | est. 20.7 tok/s14.5–26.9theoretical estimate ±30% | Q4_K_M | 2.5 / 11.0 GB + 21.1 GB RAM | MoE experts in RAM | up to 256k |
| $699 launch MSRP |
| GeForce RTX 2080 Ti | Runs well | est. 20.7 tok/s14.5–26.9theoretical estimate ±30% | Q4_K_M | 2.5 / 11.0 GB + 21.1 GB RAM | MoE experts in RAM | up to 256k |
| $999 launch MSRP |
| GeForce RTX 3050 8GB | Runs well | est. 20.7 tok/s14.5–26.9theoretical estimate ±30% | Q4_K_M | 2.5 / 8.0 GB + 21.1 GB RAM | MoE experts in RAM | up to 128k |
| $249 launch MSRP |
| GeForce RTX 3060 12GB | Runs well | est. 20.7 tok/s14.5–26.9theoretical estimate ±30% | Q4_K_M | 2.5 / 12.0 GB + 21.1 GB RAM | MoE experts in RAM | up to 256k |
| $250 street (as of 2026-08-09) |
| GeForce RTX 3070 | Runs well | est. 20.7 tok/s14.5–26.9theoretical estimate ±30% | Q4_K_M | 2.5 / 8.0 GB + 21.1 GB RAM | MoE experts in RAM | up to 128k |
| $499 launch MSRP |
| GeForce RTX 3080 10GB | Runs well | est. 20.7 tok/s14.5–26.9theoretical estimate ±30% | Q4_K_M | 2.5 / 10.0 GB + 21.1 GB RAM | MoE experts in RAM | up to 128k |
| $699 launch MSRP |
| GeForce RTX 3080 12GB | Runs well | est. 20.7 tok/s14.5–26.9theoretical estimate ±30% | Q4_K_M | 2.5 / 12.0 GB + 21.1 GB RAM | MoE experts in RAM | up to 256k |
| $799 launch MSRP |
| GeForce RTX 4060 | Runs well | est. 20.7 tok/s14.5–26.9theoretical estimate ±30% | Q4_K_M | 2.5 / 8.0 GB + 21.1 GB RAM | MoE experts in RAM | up to 128k |
| $299 launch MSRP |
| GeForce RTX 4060 Laptop | Runs well | est. 20.7 tok/s14.5–26.9theoretical estimate ±30% | Q4_K_M | 2.5 / 8.0 GB + 21.1 GB RAM | MoE experts in RAM | up to 128k |
| — |
| GeForce RTX 4060 Ti 16GB | Runs well | est. 20.7 tok/s14.5–26.9theoretical estimate ±30% | Q4_K_M | 2.5 / 16.0 GB + 21.1 GB RAM | MoE experts in RAM | up to 128k |
| $499 launch MSRP |
| GeForce RTX 4060 Ti 8GB | Runs well | est. 20.7 tok/s14.5–26.9theoretical estimate ±30% | Q4_K_M | 2.5 / 8.0 GB + 21.1 GB RAM | MoE experts in RAM | up to 128k |
| $399 launch MSRP |
| GeForce RTX 4070 | Runs well | est. 20.7 tok/s14.5–26.9theoretical estimate ±30% | Q4_K_M | 2.5 / 12.0 GB + 21.1 GB RAM | MoE experts in RAM | up to 256k |
| $599 launch MSRP |
| GeForce RTX 4070 Laptop | Runs well | est. 20.7 tok/s14.5–26.9theoretical estimate ±30% | Q4_K_M | 2.5 / 8.0 GB + 21.1 GB RAM | MoE experts in RAM | up to 128k |
| — |
| GeForce RTX 4070 Super | Runs well | est. 20.7 tok/s14.5–26.9theoretical estimate ±30% | Q4_K_M | 2.5 / 12.0 GB + 21.1 GB RAM | MoE experts in RAM | up to 256k |
| $599 launch MSRP |
| GeForce RTX 4070 Ti Super | Runs well | est. 20.7 tok/s14.5–26.9theoretical estimate ±30% | Q4_K_M | 2.5 / 16.0 GB + 21.1 GB RAM | MoE experts in RAM | up to 256k |
| $799 launch MSRP |
| GeForce RTX 4080 | Runs well | est. 20.7 tok/s14.5–26.9theoretical estimate ±30% | Q4_K_M | 2.5 / 16.0 GB + 21.1 GB RAM | MoE experts in RAM | up to 256k |
| $1,199 launch MSRP |
| GeForce RTX 4080 Laptop | Runs well | est. 20.7 tok/s14.5–26.9theoretical estimate ±30% | Q4_K_M | 2.5 / 12.0 GB + 21.1 GB RAM | MoE experts in RAM | up to 256k |
| — |
| GeForce RTX 4080 Super | Runs well | est. 20.7 tok/s14.5–26.9theoretical estimate ±30% | Q4_K_M | 2.5 / 16.0 GB + 21.1 GB RAM | MoE experts in RAM | up to 256k |
| $999 launch MSRP |
| GeForce RTX 4090 Laptop | Runs well | est. 20.7 tok/s14.5–26.9theoretical estimate ±30% | Q4_K_M | 2.5 / 16.0 GB + 21.1 GB RAM | MoE experts in RAM | up to 256k |
| — |
| GeForce RTX 5060 | Runs well | est. 20.7 tok/s14.5–26.9theoretical estimate ±30% | Q4_K_M | 2.5 / 8.0 GB + 21.1 GB RAM | MoE experts in RAM | up to 128k |
| $339 street (as of 2026-08-09) |
| GeForce RTX 5060 Ti 16GB | Runs well | est. 20.7 tok/s14.5–26.9theoretical estimate ±30% | Q4_K_M | 2.5 / 16.0 GB + 21.1 GB RAM | MoE experts in RAM | up to 256k |
| $569 street (as of 2026-08-09) |
| GeForce RTX 5060 Ti 8GB | Runs well | est. 20.7 tok/s14.5–26.9theoretical estimate ±30% | Q4_K_M | 2.5 / 8.0 GB + 21.1 GB RAM | MoE experts in RAM | up to 128k |
| $429 street (as of 2026-08-09) |
| GeForce RTX 5070 | Runs well | est. 20.7 tok/s14.5–26.9theoretical estimate ±30% | Q4_K_M | 2.5 / 12.0 GB + 21.1 GB RAM | MoE experts in RAM | up to 256k |
| $629 street (as of 2026-08-09) |
| GeForce RTX 5070 Ti | Runs well | est. 20.7 tok/s14.5–26.9theoretical estimate ±30% | Q4_K_M | 2.5 / 16.0 GB + 21.1 GB RAM | MoE experts in RAM | up to 256k |
| $949 street (as of 2026-08-09) |
| GeForce RTX 5070 Ti Laptop | Runs well | est. 20.7 tok/s14.5–26.9theoretical estimate ±30% | Q4_K_M | 2.5 / 12.0 GB + 21.1 GB RAM | MoE experts in RAM | up to 256k |
| — |
| GeForce RTX 5080 | Runs well | est. 20.7 tok/s14.5–26.9theoretical estimate ±30% | Q4_K_M | 2.5 / 16.0 GB + 21.1 GB RAM | MoE experts in RAM | up to 256k |
| $1,256 street (as of 2026-08-09) |
| GeForce RTX 5080 Laptop | Runs well | est. 20.7 tok/s14.5–26.9theoretical estimate ±30% | Q4_K_M | 2.5 / 16.0 GB + 21.1 GB RAM | MoE experts in RAM | up to 256k |
| — |
| Radeon RX 7800 XT | Runs well | est. 20.7 tok/s14.5–26.9theoretical estimate ±30% | Q4_K_M | 2.5 / 16.0 GB + 21.1 GB RAM | MoE experts in RAM | up to 256k |
| $499 launch MSRP |
| Radeon RX 7900 XT | Runs well | est. 20.7 tok/s14.5–26.9theoretical estimate ±30% | Q4_K_M | 2.5 / 20.0 GB + 21.1 GB RAM | MoE experts in RAM | up to 256k |
| $899 launch MSRP |
| Radeon RX 9060 XT 16GB | Runs well | est. 20.7 tok/s14.5–26.9theoretical estimate ±30% | Q4_K_M | 2.5 / 16.0 GB + 21.1 GB RAM | MoE experts in RAM | up to 256k |
| $449 street (as of 2026-08-09) |
| Radeon RX 9070 | Runs well | est. 20.7 tok/s14.5–26.9theoretical estimate ±30% | Q4_K_M | 2.5 / 16.0 GB + 21.1 GB RAM | MoE experts in RAM | up to 256k |
| $639 street (as of 2026-08-09) |
| Radeon RX 9070 XT | Runs well | est. 20.7 tok/s14.5–26.9theoretical estimate ±30% | Q4_K_M | 2.5 / 16.0 GB + 21.1 GB RAM | MoE experts in RAM | up to 256k |
| $689 street (as of 2026-08-09) |
| Apple M5 · 32 GB | Runs slowly | est. 22.7 tok/s15.9–29.5theoretical estimate ±30% | Q4_K_M | 22.5 GB RAM | CPU only | up to 256k |
| — |
| DDR5-6000 dual-channel CPU · 32 GB | Runs slowly | est. 20.4 tok/s16.3–24.4calibrated estimate ±20% | Q4_K_M | 22.5 GB RAM | CPU only | up to 256k |
| — |
| DDR5-5600 dual-channel CPU · 32 GB | Runs slowly | est. 19.0 tok/s15.2–22.8calibrated estimate ±20% | Q4_K_M | 22.5 GB RAM | CPU only | up to 256k |
| — |
| Apple M4 · 32 GB | Runs slowly | est. 17.8 tok/s12.4–23.1theoretical estimate ±30% | Q4_K_M | 22.5 GB RAM | CPU only | up to 256k |
| — |
| DDR4-3200 dual-channel CPU · 32 GB | Runs slowly | est. 10.9 tok/s8.7–13.0calibrated estimate ±20% | Q4_K_M | 22.5 GB RAM | CPU only | up to 256k |
| — |
Cheapest GPUs that run it
- Runs greatGeForce RTX 3090$1,050 street (as of 2026-08-09), est. 207.7 tok/s (166.2–249.2, calibrated estimate ±20%).
- Runs wellGeForce RTX 3060 12GB$250 street (as of 2026-08-09), est. 20.7 tok/s (14.5–26.9, theoretical estimate ±30%).
Measured results for Qwen3.6 35B-A3B
Public benchmarks we calibrate against. Their conditions (context, backend, flags) can differ from the estimates above.
| Hardware | Quant | Backend | Context | Prompt (tok/s) | Generation (tok/s) | Flags | Source | Measured |
|---|---|---|---|---|---|---|---|---|
| GeForce RTX 3060 12GB | Q4_K_M | llama.cpp | 4k | — | 52.0 | --n-cpu-moe, DDR5 | openclawdc.com | 2026-07-15 |
Frequently asked questions
How much VRAM does Qwen3.6 35B-A3B need?
At Q4_K_M the weights are 22.29 GB; with 8k context the total is about 23.0 GB (KV cache 0.2 GB, compute buffer 0.6 GB). The smallest tracked file (Q2_K (heavy quality loss)) needs about 14.3 GB.
What is the cheapest GPU that runs Qwen3.6 35B-A3B well?
Cheapest that runs it great: GeForce RTX 3090 at $1,050 (street price as of 2026-08-09), est. 207.7 tok/s (166.2–249.2, calibrated estimate ±20%). Cheaper and still Runs well: GeForce RTX 3060 12GB at $250 (street price as of 2026-08-09), est. 20.7 tok/s (14.5–26.9, theoretical estimate ±30%).
Can Qwen3.6 35B-A3B run on an 8 GB, 16 GB or 24 GB GPU?
At Q4_K_M with 8k context: GeForce RTX 4060 — Runs well, est. 20.7 tok/s (14.5–26.9, theoretical estimate ±30%); GeForce RTX 5060 Ti 16GB — Runs well, est. 20.7 tok/s (14.5–26.9, theoretical estimate ±30%); GeForce RTX 3090 — Runs great, est. 207.7 tok/s (166.2–249.2, calibrated estimate ±20%).
Speeds are estimates from memory bandwidth, calibrated against public benchmarks, and each one comes with an error band and a confidence label. Real results vary with drivers, backend, context length and thermals.