Model-intent landing page

Cheapest GPU for GLM-4.7-Flash

GLM-4.7-Flash needs at least 32GB on each GPU, so the current budget floor is A40 on RunPod at $0.44/hr.

1x 32GB+ GPU Best practical GLM 31B params 32GB+ per GPU

View cheapest setups Browse all LLMs Plan workload

Cheapest tracked setup

$0.44/hr

RunPod · A40

Monthly floor

$321/mo

Directional spend at today's median price

Qualifying providers

49 tracked setups meet the VRAM floor

Baseline VRAM

32GB

1x 48GB GPU for context and batching headroom

Search guide

Cheapest GPU for GLM-4.7-Flash

GLM-4.7-Flash is a 31B parameter model positioned for reasoning, coding, and agents. 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

GLM-4.7-Flash cheapest tracked setup

The cheapest tracked way to host GLM-4.7-Flash 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.

FAQ

Cheapest GPU for GLM-4.7-Flash FAQ

What is the cheapest tracked setup for GLM-4.7-Flash?

The cheapest tracked way to host GLM-4.7-Flash right now is A40 on RunPod at $0.44/hr.

How much VRAM do I need for GLM-4.7-Flash?

Our baseline for GLM-4.7-Flash is 1x 32GB GPUs, with 1x 48GB GPU for context and batching headroom as the practical setup.

Should I buy more headroom than the cheapest GLM-4.7-Flash 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 GLM-4.7-Flash guide?

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

More GPU workload guides

These follow-up guides target adjacent high-intent searches so buyers can move from a single query into the next pricing question without bouncing back to search.

What to do with this page

Cheapest GPU for GLM-4.7-Flash 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 GLM-4.7-Flash 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

Best practical GLM

A compact GLM reasoning and coding model built for practical, lightweight deployment. The 3B active footprint helps token throughput, but all 31B parameters still need to live in memory.

Live pricing inputs

Tracked GLM-4.7-Flash 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 32GB+ GPU	RunPod Provider site	on-demand	$0.44/hr	$321/mo	Fits the 32GB floor with 48GB GDDR6 memory.
A6000 1x 32GB+ GPU	RunPod Provider site	on-demand	$0.53/hr	$387/mo	Fits the 32GB floor with 48GB GDDR6 memory.
RTX 5090 1x 32GB+ GPU	Vast.ai Provider site	on-demand	$0.57/hr	$414/mo	Fits the 32GB floor with 32GB GDDR7 memory.
L40 1x 32GB+ GPU	Vast.ai Provider site	on-demand	$0.58/hr	$421/mo	Fits the 32GB floor with 48GB GDDR6 memory.
RTX 6000Ada 1x 32GB+ GPU	Vast.ai Provider site	on-demand	$0.59/hr	$433/mo	Fits the 32GB floor with 48GB GDDR6 memory.
L40 1x 32GB+ GPU	GCP Provider site	on-demand	$0.66/hr	$482/mo	Fits the 32GB floor with 48GB GDDR6 memory.
RTX 6000Ada 1x 32GB+ GPU	Lambda Provider site	on-demand	$0.69/hr	$504/mo	Fits the 32GB floor with 48GB GDDR6 memory.
RTX 6000Ada 1x 32GB+ GPU	RunPod Provider site	on-demand	$0.84/hr	$613/mo	Fits the 32GB floor with 48GB GDDR6 memory.

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/guides/cheapest-gpu-for-glm-4-7-flash. 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