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CPU-capable model ready

Qwen3.5 4B

40 consumer GPUs can run Qwen3.5 4B at Q4 natively. Precise VRAM thresholds and benchmarks below.

40 Compatible GPUs
4.66B params
262K context
Javier Morales
Javier Morales AI Hardware Specialist — 8 years experience
GitHub: github.com/javier-morales-ia

llama.cpp 0.2.x · CUDA 12 · ROCm 6 · Updated monthly · methodology →

Execution Context

ARCHITECTURE TRANSFORMER
CONTEXT 262K TOKENS
QUANTIZATION 4-BIT GGUF
PROVIDER Alibaba
LICENSE Apache 2.0
Hardware Decision

This model requires a Entry GPU (8 GB VRAM)

Minimum

GTX 1660 Super

Runs at Q4 — functional, some wait

6 GB VRAM
View compatible setup
Balanced

RTX 4060 Ti 16GB

Best value for daily use

16 GB VRAM
View compatible setup
Optimal

RTX 5090

Full quality, fastest inference

32 GB VRAM
View compatible setup

*Prices and availability may change. Some links are affiliate links.

System Requirements

GPU VRAM 2.6 GB Entry GPU
System RAM 16 GB DDR4/DDR5
Storage 2.3 GB Q4 · SSD recommended
CPU i7 → 12 tok/s Runs without GPU

VRAM by Quantization

Quantization VRAM needed Disk space Quality
FP16 (max quality) 10.3 GB 9.3 GB Maximum
Q8 (high quality) 5.1 GB 4.7 GB Near-lossless
Q4 (recommended) Best balance 2.6 GB 2.3 GB Recommended
Q2 (minimum) 1.3 GB 1.2 GB Quality loss

Model Details

Developer Alibaba
Parameters 4.66B
Context window 262,144 tokens
License Apache 2.0
Use cases chat, reasoning, coding
Released 2026-02

Install with Ollama

ollama run qwen3.5:4b

Hugging Face

Qwen/Qwen3.5-4B
View on HF →
Technical Requirements

Can your GPU run Qwen3.5 4B?

Qwen3.5 4B requires 2.6 GB VRAM at Q4. 40 consumer GPUs meet this threshold. Below 8 GB or 0.6000000000000001 GB you'll hit significant offload latency.

1.3GB Critical min
2.6GB Optimal Q4
5.1GB High Quality Q8
10.3GB Max FP16

Hardware Performance Matrix

40 Q4 native · 0 offload · 0 unsupported

GPU Unit VRAM Compatibility Est. Speed Action
RTX 5090 32GB Optimal 181 tok/s Calculate →
RTX 4090 24GB Optimal 156 tok/s Calculate →
M4 Ultra 128GB Optimal 163 tok/s Calculate →
RTX 5080 16GB Optimal 154 tok/s Calculate →
M3 Ultra 192GB Optimal 138 tok/s Calculate →
RTX 4080 Super 16GB Optimal 121 tok/s Calculate →
RTX 5070 Ti 16GB Optimal 141 tok/s Calculate →
RTX 3090 24GB Optimal 142 tok/s Calculate →
M4 Max 48GB 48GB Optimal 94 tok/s Calculate →
RX 7900 XTX 24GB Optimal 150 tok/s Calculate →
M4 Max 36GB 36GB Optimal 93 tok/s Calculate →
RTX 4070 Ti Super 16GB Optimal 107 tok/s Calculate →
RTX 3080 Ti 12GB Optimal 131 tok/s Calculate →
RX 7900 XT 20GB Optimal 125 tok/s Calculate →
RTX 5070 12GB Optimal 107 tok/s Calculate →
RTX 3080 10GB Optimal 112 tok/s Calculate →
M4 Pro 24GB Optimal 52 tok/s Calculate →
RX 7800 XT 16GB Optimal 97 tok/s Calculate →
RX 6800 XT 16GB Optimal 76 tok/s Calculate →
RTX 4070 12GB Optimal 79 tok/s Calculate →
RTX 4060 Ti 16GB 16GB Optimal 50 tok/s Calculate →
RX 7700 XT 12GB Optimal 66 tok/s Calculate →
RTX 3070 Ti 8GB Optimal 92 tok/s Calculate →
RTX 4060 Ti 8GB Optimal 50 tok/s Calculate →
RTX 3070 8GB Optimal 69 tok/s Calculate →
RX 6700 XT 12GB Optimal 57 tok/s Calculate →
M3 Pro 18GB Optimal 32 tok/s Calculate →
RTX 3060 Ti 8GB Optimal 68 tok/s Calculate →
RTX 2080 Ti 11GB Optimal 69 tok/s Calculate →
RTX 3060 12GB Optimal 57 tok/s Calculate →
M2 Pro 16GB Optimal 36 tok/s Calculate →
RTX 4060 8GB Optimal 44 tok/s Calculate →
Arc A770 16GB 16GB Optimal 35 tok/s Calculate →
M1 Pro 16GB Optimal 34 tok/s Calculate →
RX 7600 8GB Optimal 45 tok/s Calculate →
RX 6600 XT 8GB Optimal 42 tok/s Calculate →
Arc A750 8GB 8GB Optimal 32 tok/s Calculate →
RX 6600 8GB Optimal 38 tok/s Calculate →
RTX 3050 8GB 8GB Optimal 34 tok/s Calculate →
GTX 1660 Super 6GB Optimal 49 tok/s Calculate →

Recommended GPUs for Qwen3.5 4B

Benchmarks Reales
Sin Reviews Pagadas
Seleccion Editorial
Basado en Datos

Best picks by compatibility, VRAM headroom, and value — prices and availability may change.

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Qwen3.5 4B — Compatibility guide

Qwen3.5 4B can run on CPU without a dedicated GPU — unusual for a 4.66B model. On an i7-13700K with llama.cpp Q4 it reaches 12 tok/s (functional for occasional use). With a GPU you get 4–6× more speed — check the VRAM calculator for specifics.

Compare GPUs for Qwen3.5 4B

Which GPU is worth it? Real specs and benchmarks side by side.

Compatible Hardware

GPUs that run Qwen3.5 4B at Q4 — sorted by AI performance score.

Benchmarks Reales
Sin Reviews Pagadas
Basado en Datos
RTX 5090
RTX 5090

NVIDIA · 32 GB VRAM

Q4 OK
181 tok/s > $1000
RTX 4090
RTX 4090

NVIDIA · 24 GB VRAM

Q4 OK
156 tok/s > $1000
M4 Ultra

Apple · 128 GB VRAM

Q4 OK
163 tok/s > $1000
RTX 5080
RTX 5080

NVIDIA · 16 GB VRAM

Q4 OK
154 tok/s $600–1000
M3 Ultra

Apple · 192 GB VRAM

Q4 OK
138 tok/s > $1000
RTX 4080 Super
RTX 4080 Super

NVIDIA · 16 GB VRAM

Q4 OK
121 tok/s $600–1000

Some links are Amazon affiliate links. We may earn a commission at no extra cost to you. Amazon cookies may last up to 24 hours after your click.

More Practical Alternatives

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Not sure which GPU you need for Qwen3.5 4B?

The VRAM Calculator tells you exactly which quantization your hardware can handle.