Model provider cost

Host Qwen3.6 35B-A3B on RunPod

Qwen3.6 35B-A3B needs 1x 48GB+ GPU, and RunPod's current cheapest qualifying row is A40 at $0.44/hr.

1x 48GB+ GPU 35B params Current all-rounder Apache 2.0

All LLM costs All RunPod GPUs

Cheapest on this provider

$0.44/hr

A40

Monthly estimate

$321/mo

730 hours at the current median

VRAM baseline

48GB

1x 48GB+ GPU

Qualifying rows

Updated Jul 27, 2026

Live hosting options

RunPod rows that can host Qwen3.6 35B-A3B

The cheapest tracked way to host Qwen3.6 35B-A3B on RunPod is A40 at $0.44/hr. RunPod is currently tied for the cheapest tracked market setup for this model.

Price source RunPod GraphQL API Provider API pricing; availability and spot/community rows can move quickly.

Methodology Freshness

GPU	VRAM	Per GPU	Estimated hourly	Estimated monthly	Offers	Updated
A40	48GB	$0.44/hr	$0.44/hr	$321/mo	1	Jul 27, 2026 RunPod GraphQL API 1 offer · Jul 27, 2026 global aggregate
A6000	48GB	$0.53/hr	$0.53/hr	$387/mo	1	Jul 27, 2026 RunPod GraphQL API 1 offer · Jul 27, 2026 global aggregate
RTX 6000Ada	48GB	$0.84/hr	$0.84/hr	$613/mo	1	Jul 27, 2026 RunPod GraphQL API 1 offer · Jul 27, 2026 global aggregate
L40	48GB	$0.91/hr	$0.91/hr	$661/mo	2	Jul 27, 2026 RunPod GraphQL API 2 offers · Jul 27, 2026 global aggregate
A100 PCIE	80GB	$1.39/hr	$1.39/hr	$1,015/mo	1	Jul 27, 2026 RunPod GraphQL API 1 offer · Jul 27, 2026 global aggregate
A100 SXM4	80GB	$1.49/hr	$1.49/hr	$1,088/mo	1	Jul 27, 2026 RunPod GraphQL API 1 offer · Jul 27, 2026 global aggregate
MI300X	192GB	$2.39/hr	$2.39/hr	$1,745/mo	1	Jul 27, 2026 RunPod GraphQL API 1 offer · Jul 27, 2026 global aggregate
H100 PCIE	80GB	$2.89/hr	$2.89/hr	$2,110/mo	1	Jul 27, 2026 RunPod GraphQL API 1 offer · Jul 27, 2026 global aggregate

Model fit

Why this setup does or does not fit

VRAM floor

1x 48GB+ GPU

1x 48GB GPU; 80GB for long context or higher concurrency. Long prompts, batching, and KV cache can require extra headroom.

Model quality

Current all-rounder

One of the most balanced new open-weight choices when code, tools, vision, and multilingual work all matter.

Operational note

Qwen 35B

Native 262K context is useful, but the KV cache can quickly turn a nominal 48GB fit into an 80GB deployment.

FAQ

Qwen3.6 35B-A3B on RunPod FAQ

Can I host Qwen3.6 35B-A3B on RunPod?

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

What GPU memory does Qwen3.6 35B-A3B need?

Our baseline for Qwen3.6 35B-A3B is 1x 48GB+ GPU. The practical recommendation is 1x 48GB GPU; 80GB for long context or higher concurrency.

Is RunPod the cheapest provider for Qwen3.6 35B-A3B?

RunPod is currently tied for the cheapest tracked market setup for this model.

How fresh is this RunPod Qwen3.6 35B-A3B cost page?

This page recalculates from the latest tracked on-demand rows. The freshest qualifying RunPod row shown here is from Jul 27, 2026.

Next research paths

Compare this setup

Agent-assisted setup

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.

Claude Code quickstart ↗ Codex docs ↗

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/llms/qwen3.6-35b-a3b/runpod. 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