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Deploy Qwen3.5

Text & Chat

Qwen3.5 is the latest from Alibaba Cloud, surpassing Qwen3-235B on benchmarks with much smaller models. 256K context, 201 languages, thinking + non-thinking modes. The 35B-A3B MoE variant uses only 3B active params for fast inference.

Deploy Qwen3.5 in minutes

Starting at $0.53/hr on dedicated GPU

Available Variants (4)

ModelGPUVRAMPriceAction
Qwen3.5 4B
Small (4B)
L424 GB$0.53/hrDeploy
Qwen3.5 9B
9B (Recommended)
L424 GB$0.53/hrDeploy
Qwen3.5 27B
Large (27B)
RTX A600048 GB$0.66/hrDeploy
Qwen3.5 35B-A3B MoE
MoE (35B-A3B)
RTX A600048 GB$0.66/hrDeploy

Prices include the service fee. Charges follow actual running time.

Requirements

ModelPilot assigns 24–48GB cloud GPUs across the listed variants. Actual local VRAM requirements vary with model variant, precision, quantization, resolution, and workflow settings.

On ModelPilot, deploy on a dedicated cloud GPU (up to 80GB VRAM) starting at $0.53/hr with no setup required.

Includes OpenWebUI chat interface and OpenAI-compatible API endpoint.

Use Cases

  • Advanced reasoning and coding
  • Multilingual chatbots (201 languages)
  • Long document analysis (256K context)
  • Agentic applications

Related Models

Frequently Asked Questions

How much GPU memory is allocated for Qwen3.5?

The listed ModelPilot variants use 24–48GB cloud GPUs. Local memory needs vary with the variant, precision, quantization, and workflow settings.

How much does it cost to run Qwen3.5?

Starting at $0.53/hr on a dedicated GPU. Charges are calculated from actual running time, with auto-stop when credits run out.

How long does Qwen3.5 take to deploy?

Text models typically deploy in 5–15 minutes including model download.

Can I run Qwen3.5 on my local GPU?

It depends on the selected variant, precision, quantization, and workflow settings. Compare the variants below with your available VRAM; the table shows ModelPilot's cloud GPU allocation, not a universal local minimum.

Ready to deploy Qwen3.5?

Pick your GPU and have it running in minutes. No infrastructure setup required.