Use-case landing page

Cheapest provider for batch inference

The cheapest tracked provider for batch inference right now is GCP, starting with L4 at $0.11/hr on spot pricing.

24GB+ floor Spot and on-demand Provider ranking Batch-friendly pricing
Cheapest provider
GCP
$0.11/hr
Cheapest batch row
$0.11/hr
L4
Widest qualifying catalog
RunPod
16 qualifying GPUs
Cheapest on-demand fallback
Vast.ai
$0.31/hr

Cheapest provider for batch inference

Batch inference traffic usually searches for the cheapest place to keep queues moving, not necessarily the newest accelerator.

This guide looks for providers with at least 24GB GPUs, then ranks the cheapest spot, community, or on-demand entry point so you can separate flexible batch capacity from steadier fallback options.

Cheapest provider right now

Batch inference provider summary

The cheapest tracked provider for batch inference right now is GCP, starting with L4 at $0.11/hr on spot pricing. RunPod currently has the widest low-cost batch inference catalog in the tracked market with 16 qualifying GPUs. If you need a steadier fallback than spot or community inventory, the cheapest tracked on-demand provider is Vast.ai at $0.31/hr.

Methodology and freshness

How this guide is computed

We filter the market to GPUs with at least 24GB of VRAM, look across spot, community, and on-demand pricing, and rank each provider by its cheapest qualifying row plus the breadth of the remaining qualifying catalog.

Cheapest provider for batch inference FAQ

Which provider is cheapest for batch inference right now?

The cheapest tracked provider for batch inference right now is GCP, starting with L4 at $0.11/hr on spot pricing.

Why does batch inference use 24GB as the floor here?

That floor captures the part of the market that can still run serious batch jobs for 7B to 14B class models without forcing you into premium 80GB inventory.

Should I trust spot and community prices for batch inference?

Often yes for offline queues or catch-up jobs, but you should still compare them against a stable fallback. If you need a steadier fallback than spot or community inventory, the cheapest tracked on-demand provider is Vast.ai at $0.31/hr.

How fresh is the provider ranking on this page?

We recalculate the ranking from the latest stored provider rows with 24GB+ GPUs. The freshest provider entry is from Jul 31, 2026, and collectors run daily.

Cheapest provider for batch inference 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 provider

GCP

The cheapest tracked provider for batch inference right now is GCP, starting with L4 at $0.11/hr on spot pricing.

Widest catalog

RunPod

RunPod currently has the widest low-cost batch inference catalog in the tracked market with 16 qualifying GPUs.

Fallback pricing

Vast.ai

If you need a steadier fallback than spot or community inventory, the cheapest tracked on-demand provider is Vast.ai at $0.31/hr.

Provider entry points for batch inference

Each row shows the cheapest 24GB+ GPU currently tracked on that provider.

Updated Jul 31, 2026
GPU / target Provider Type Hourly Monthly Why it fits
L4
best provider entry point
GCP Provider site spot $0.11/hr $83/mo 5 qualifying 24GB+ GPUs tracked on this provider.
A40
best provider entry point
RunPod Provider site spot $0.30/hr $219/mo 16 qualifying 24GB+ GPUs tracked on this provider.
RTX 4090
best provider entry point
Vast.ai Provider site on-demand $0.31/hr $227/mo 12 qualifying 24GB+ GPUs tracked on this provider.
RTX 6000Ada
best provider entry point
Lambda Provider site on-demand $0.69/hr $504/mo 8 qualifying 24GB+ GPUs tracked on this provider.
A100 PCIE
best provider entry point
Azure Provider site spot $0.83/hr $606/mo 5 qualifying 24GB+ GPUs tracked on this provider.
L4
best provider entry point
AWS Provider site on-demand $1.50/hr $1,092/mo 6 qualifying 24GB+ GPUs tracked on this provider.
A10G
best provider entry point
Oracle Provider site on-demand $2.00/hr $1,460/mo 7 qualifying 24GB+ GPUs tracked on this provider.

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/cheapest-provider-for-batch-inference. 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