Model-intent landing page

Best GPU for Qwen3.6 35B-A3B hosting

Qwen3.6 35B-A3B needs at least 48GB on each GPU, so the current budget floor is A40 on RunPod at $0.44/hr.

1x 48GB+ GPU Current all-rounder 35B params 48GB+ per GPU
Cheapest tracked setup
$0.44/hr
RunPod · A40
Monthly floor
$321/mo
Directional spend at today's median price
Qualifying providers
7
47 tracked setups meet the VRAM floor
Baseline VRAM
48GB
1x 48GB GPU; 80GB for long context or higher concurrency

Best GPU for Qwen3.6 35B-A3B hosting

Qwen3.6 35B-A3B is a 35B parameter model positioned for coding, agents, multimodal, and multilingual. This guide turns that requirement into a live cloud price floor.

Start with the cheapest qualifying setup, then compare the higher-headroom rows if you expect larger batches, long prompts, or want more operational margin.

Cheapest provider right now

Qwen3.6 35B-A3B cheapest tracked setup

The cheapest tracked way to host Qwen3.6 35B-A3B right now is A40 on RunPod at $0.44/hr. If you want more batching headroom, the highest-memory tracked option is MI300X on RunPod at $2.39/hr.

Methodology and freshness

How this guide is computed

We reuse the same GPU requirement metadata shown in the LLM catalog, filter the live cloud market down to cards that meet the model's per-GPU VRAM floor, and sort the resulting setups by estimated hourly spend.

Best GPU for Qwen3.6 35B-A3B hosting FAQ

What is the cheapest tracked setup for Qwen3.6 35B-A3B?

The cheapest tracked way to host Qwen3.6 35B-A3B right now is A40 on RunPod at $0.44/hr.

How much VRAM do I need for Qwen3.6 35B-A3B?

Our baseline for Qwen3.6 35B-A3B is 1x 48GB GPUs, with 1x 48GB GPU; 80GB for long context or higher concurrency as the practical setup.

Should I buy more headroom than the cheapest Qwen3.6 35B-A3B setup?

Usually yes if you care about batching, long prompts, or smoother latency. If you want more batching headroom, the highest-memory tracked option is MI300X on RunPod at $2.39/hr.

How fresh is the pricing on this Qwen3.6 35B-A3B guide?

We recalculate this page from the latest stored provider snapshot. The freshest qualifying row is from Jul 28, 2026, and collectors run daily.

Best GPU for Qwen3.6 35B-A3B hosting at a glance

Use these recommendation cards to separate the current budget floor from the higher-headroom or broader-catalog alternatives that matter for this decision.

Cheapest live setup

A40 on RunPod

The cheapest tracked way to host Qwen3.6 35B-A3B right now is A40 on RunPod at $0.44/hr.

Higher-memory alternative

MI300X

If you want more batching headroom, the highest-memory tracked option is MI300X on RunPod at $2.39/hr.

Why teams pick this model

Current all-rounder

A current Qwen workhorse for repository-scale coding, reasoning, vision, and multilingual agents. Native 262K context is useful, but the KV cache can quickly turn a nominal 48GB fit into an 80GB deployment.

Tracked Qwen3.6 35B-A3B hosting options

These rows all satisfy the model's minimum VRAM envelope using current on-demand pricing.

Updated Jul 28, 2026
GPU / target Provider Type Hourly Monthly Why it fits
A40
1x 48GB+ GPU
RunPod Provider site on-demand $0.44/hr $321/mo Fits the 48GB floor with 48GB GDDR6 memory.
A6000
1x 48GB+ GPU
RunPod Provider site on-demand $0.53/hr $387/mo Fits the 48GB floor with 48GB GDDR6 memory.
L40
1x 48GB+ GPU
Vast.ai Provider site on-demand $0.58/hr $421/mo Fits the 48GB floor with 48GB GDDR6 memory.
RTX 6000Ada
1x 48GB+ GPU
Vast.ai Provider site on-demand $0.59/hr $433/mo Fits the 48GB floor with 48GB GDDR6 memory.
L40
1x 48GB+ GPU
GCP Provider site on-demand $0.66/hr $482/mo Fits the 48GB floor with 48GB GDDR6 memory.
RTX 6000Ada
1x 48GB+ GPU
Lambda Provider site on-demand $0.69/hr $504/mo Fits the 48GB floor with 48GB GDDR6 memory.
RTX 6000Ada
1x 48GB+ GPU
RunPod Provider site on-demand $0.84/hr $613/mo Fits the 48GB floor with 48GB GDDR6 memory.
L40
1x 48GB+ GPU
RunPod Provider site on-demand $0.91/hr $661/mo Fits the 48GB floor with 48GB GDDR6 memory.

Hand this runbook to Claude Code or Codex

Open a terminal in the repository where you want the deployment files, start claude or codex, then paste this prompt. It asks the agent to verify sources and stop before it creates billable infrastructure.

Deployment prompt
Use the infrastructure or model context on this page to create a reproducible open-model deployment. Use this guide as the starting context: https://www.getflops.ai/guides/best-gpu-for-qwen-3-6-35b-hosting. Read the linked model card and provider documentation before choosing hardware or runtime settings. Open every linked primary source and flag any mismatch instead of guessing. Create a deployment folder containing README.md, .env.example with no secrets, a pinned start script or infrastructure manifest, and smoke-test.sh. Make the endpoint OpenAI-compatible where the runtime supports it. Run local/static validation, estimate the billable resources, and stop before provisioning paid infrastructure until I approve.
Guardrails included No secrets in files · verify primary docs · approval before spend