FitMyLLM
Alibaba/Mixture of Experts

AlibabaQwen 3.6 35B A3B

Qwen 3.6 35B A3B — hybrid linear/full attention MoE (DeltaNet + full attention), multimodal (text+image+video), 256 experts (8+1 active). Prioritizes agentic coding and thinking preservation over Qwen 3.5.

chatcodingreasoningmultilingualvisionmathtool_use
35B
Parameters (3B active)
256K
Context length
21
Benchmarks
14
Quantizations
100K
HF downloads
Architecture
MoE
Released
2026-04-15
Layers
40
KV Heads
2
Head Dim
256
Family
qwen

Quantization Options

Context length:
QuantBitsVRAM @ 16KQuality
IQ3_XXS3.25
14.9 GB
14.7 + 0.2 KV
low
IQ3_XS3.5
16.0 GB
15.8 + 0.2 KV
low
Q3_K_S3.64
16.6 GB
16.4 + 0.2 KV
low
IQ3_M3.76
17.2 GB
16.9 + 0.2 KV
low
Q3_K_M4
18.2 GB
18.0 + 0.2 KV
low
Q3_K_L4.3
19.5 GB
19.3 + 0.2 KV
low
IQ4_XS4.46
20.2 GB
20.0 + 0.2 KV
moderate
Q4_K_S4.67
21.2 GB
20.9 + 0.2 KV
moderate
Q4_K_M4.89
22.1 GB
21.9 + 0.2 KV
good
Q5_K_S5.57
25.1 GB
24.9 + 0.2 KV
good
Q5_K_M5.7
25.7 GB
25.4 + 0.2 KV
good
Q6_K6.56
29.4 GB
29.2 + 0.2 KV
excellent
Q8_08.5
37.9 GB
37.7 + 0.2 KV
lossless
FP1616
70.7 GB
70.5 + 0.2 KV
lossless

Select your GPU above to see speed estimates and compatibility for each quantization.

Deploying for a team or in production? Size GPUs, cost & scaling in Enterprise →
▸ READY TO RUN THIS?RENT BY THE HOUR

RENT A GPU AND RUN QWEN 3.6 35B A3B NOW

Rent on Vast.ai →Or RunPod →

Spin up an A100 / H100 / 4090 in ~60s. Pay by the second. Cancel anytime.

Community Ratings

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Benchmarks (21)

MMBench92.8
AIME92.7
GPQA Diamond86.0
MMLU-PRO85.2
τ²-Bench85.1
MMMU81.7
LiveCodeBench80.4
IFEval78.9
SWE-bench73.4
MATH59.7
BBH58.3
AA Long Context56.7
IFBench36.2
BigCodeBench32.3
AA Intelligence31.5
Terminal-Bench25.8
HLE21.4
MUSR19.1
AA Coding17.6
GPQA15.2
SciCode1.3

Run this model

▸Easiest way to get started·Beginners
DOCS ↗
curl -fsSL https://ollama.com/install.sh | sh
$ollama run qwen3.6:35b-a3b-q4_K_M

Downloads and runs automatically. Add --verbose for speed stats.

▸ SETUP GUIDE
>_

Auto-setup with fitmyllm CLI

Detects your GPU, recommends the best model, downloads it, and starts chatting — zero config. Benchmarks your speed and contributes anonymous data to improve predictions.

pip install fitmyllmthen run fitmyllmLearn more
Auto-detect GPULive tok/s in chatSpeed benchmarks9 inference engines
HuggingFaceOllama LibraryGGUF DownloadsBuild Hardware

GPUs that can run this model

At Q4_K_M quantization. Sorted by minimum VRAM.

NVIDIA RTX 4090
24 GB VRAM • 1008 GB/s
NVIDIA
$1599
AmazonNeweggeBayPCPartPickerRent on RunPodRent on Vast.ai
NVIDIA RTX 3090 Ti
24 GB VRAM • 1008 GB/s
NVIDIA
$999
AmazonNeweggeBayPCPartPickerRent on RunPodRent on Vast.ai
NVIDIA RTX 3090
24 GB VRAM • 936 GB/s
NVIDIA
$850
AmazonNeweggeBayPCPartPickerRent on RunPodRent on Vast.ai
AMD RX 7900 XTX
24 GB VRAM • 960 GB/s
AMD
$999
AmazonNeweggeBayPCPartPickerRent on RunPodRent on Vast.ai
Apple M4 Pro (24GB)
24 GB VRAM • 273 GB/s
APPLE
$1399
NVIDIA L4 24GB
24 GB VRAM • 300 GB/s
NVIDIA
$2500
NVIDIA A10 24GB
24 GB VRAM • 600 GB/s
NVIDIA
$3500
AmazonNeweggeBayPCPartPickerRent on RunPodRent on Vast.ai
Apple M2 (24GB)
24 GB VRAM • 100 GB/s
APPLE
$999
Apple M3 (24GB)
24 GB VRAM • 100 GB/s
APPLE
$999
Apple M4 (24GB)
24 GB VRAM • 120 GB/s
APPLE
$699
NVIDIA Tesla M40 24 GB
24 GB VRAM • 288 GB/s
NVIDIA
NVIDIA Tesla P10
24 GB VRAM • 694 GB/s
NVIDIA
NVIDIA Tesla P40
24 GB VRAM • 347 GB/s
NVIDIA
NVIDIA Quadro RTX 6000
24 GB VRAM • 672 GB/s
NVIDIA
$4000
AmazonNeweggeBayPCPartPickerRent on RunPodRent on Vast.ai
NVIDIA Quadro RTX 6000 Passive
24 GB VRAM • 624 GB/s
NVIDIA
$4000
AmazonNeweggeBayPCPartPickerRent on RunPodRent on Vast.ai
NVIDIA GeForce RTX 3090
24 GB VRAM • 936 GB/s
NVIDIA
$1499
AmazonNeweggeBayPCPartPickerRent on RunPodRent on Vast.ai
NVIDIA A10 PCIe
24 GB VRAM • 600 GB/s
NVIDIA
AmazonNeweggeBayPCPartPickerRent on RunPodRent on Vast.ai
NVIDIA A10G
24 GB VRAM • 600 GB/s
NVIDIA
AmazonNeweggeBayPCPartPickerRent on RunPodRent on Vast.ai
NVIDIA RTX A5000
24 GB VRAM • 768 GB/s
NVIDIA
$2500
NVIDIA GeForce RTX 3090 Ti
24 GB VRAM • 1010 GB/s
NVIDIA
$1999
AmazonNeweggeBayPCPartPickerRent on RunPodRent on Vast.ai
NVIDIA GeForce RTX 4090
24 GB VRAM • 1010 GB/s
NVIDIA
$1599
AmazonNeweggeBayPCPartPickerRent on RunPodRent on Vast.ai
NVIDIA L40 CNX
24 GB VRAM • 864 GB/s
NVIDIA
$5000
NVIDIA L40G
24 GB VRAM • 864 GB/s
NVIDIA
$5000
AMD Radeon RX 7900 XTX
24 GB VRAM • 960 GB/s
AMD
$999
AmazonNeweggeBayPCPartPickerRent on RunPodRent on Vast.ai
NVIDIA GeForce RTX 4090 D
24 GB VRAM • 1010 GB/s
NVIDIA
$1599
AmazonNeweggeBayPCPartPickerRent on RunPodRent on Vast.ai
NVIDIA GeForce RTX 5090 D V2
24 GB VRAM • 1340 GB/s
NVIDIA
$1999
AmazonNeweggeBayPCPartPickerRent on RunPodRent on Vast.ai
NVIDIA TITAN RTX
24 GB VRAM • 672 GB/s
NVIDIA
AmazonNeweggeBayPCPartPickerRent on RunPodRent on Vast.ai
NVIDIA A30 PCIe
24 GB VRAM • 933 GB/s
NVIDIA
AmazonNeweggeBayPCPartPickerRent on RunPodRent on Vast.ai
NVIDIA A30X
24 GB VRAM • 1220 GB/s
NVIDIA
AmazonNeweggeBayPCPartPickerRent on RunPodRent on Vast.ai
NVIDIA PG506-207
24 GB VRAM • 933 GB/s
NVIDIA
AmazonNeweggeBayPCPartPickerRent on RunPodRent on Vast.ai

Find the best GPU for Qwen 3.6 35B A3B

Build Hardware for Qwen 3.6 35B A3B
▸ SPEC SHEET

Qwen 3.6 35B A3B — 35B MoE.

▸ SPECIFICATIONS
PARAMETERS
35B (3B active)
ARCHITECTURE
Mixture of Experts
CONTEXT LENGTH
256K tokens
CAPABILITIES
chat, coding, reasoning, multilingual, vision, math, tool_use
RELEASE DATE
2026-04-15
PROVIDER
Alibaba
FAMILY
qwen
▸ VRAM REQUIREMENTS
QUANTBPWVRAMQUALITY
IQ3_XXS3.2514.7 GB78%
IQ3_XS3.515.8 GB82%
Q3_K_S3.6416.4 GB83%
IQ3_M3.7616.9 GB84%
Q3_K_M418.0 GB88%
Q3_K_L4.319.3 GB89%
IQ4_XS4.4620.0 GB91%
Q4_K_S4.6720.9 GB92%
Q4_K_M4.8921.9 GB94%
Q5_K_S5.5724.9 GB96%
Q5_K_M5.725.4 GB96%
Q6_K6.5629.2 GB97%
Q8_08.537.7 GB100%
FP161670.5 GB100%
§ 01BENCHMARK SCORES
MMLU-PRO85.2
MATH59.7
IFEval78.9
BBH58.3
GPQA15.2
MUSR19.1
BigCodeBench32.3
LiveCodeBench80.4
SWE-bench73.4
AIME92.7
GPQA Diamond86.0
HLE21.4
MMMU81.7
MMBench92.8
AA Intelligence31.5
AA Coding17.6
aa_ifbench36.2
aa_terminal_bench25.8
aa_tau285.1
aa_scicode1.3
aa_lcr56.7
§ 02RUN COMMAND

Run Qwen 3.6 35B A3B locally with Ollama — needs 21.9 GB VRAM at Q4_K_M:

$ollama run qwen3.6:35b
§ 03COMPATIBLE GPUs
30 @ Q4_K_M
NVIDIA RTX 4090
24 GB · 1008 GB/s
NVIDIA RTX 3090 Ti
24 GB · 1008 GB/s
NVIDIA RTX 3090
24 GB · 936 GB/s
AMD RX 7900 XTX
24 GB · 960 GB/s
Apple M4 Pro (24GB)
24 GB · 273 GB/s
NVIDIA L4 24GB
24 GB · 300 GB/s
NVIDIA A10 24GB
24 GB · 600 GB/s
Apple M2 (24GB)
24 GB · 100 GB/s
Apple M3 (24GB)
24 GB · 100 GB/s
Apple M4 (24GB)
24 GB · 120 GB/s
NVIDIA Tesla M40 24 GB
24 GB · 288 GB/s
NVIDIA Tesla P10
24 GB · 694 GB/s
NVIDIA Tesla P40
24 GB · 347 GB/s
NVIDIA Quadro RTX 6000
24 GB · 672 GB/s
NVIDIA Quadro RTX 6000 Passive
24 GB · 624 GB/s