Comparison
GPUBox vs RunPod
Different products with different audiences. RunPod is GPU container rental — you bring a model, they rent you the hardware by the hour. It's the right answer when you need a specific model that nobody else hosts, or when you're running custom training.
GPUBox is an inference API. We host curated models on UK-domiciled hardware, you call them via the OpenAI-compatible surface and pay per token. It's the right answer when you want base_url = "https://api.gpubox.ai/v1" and to be done.
Product shape
GPUBox
OpenAI-compatible API. You call /v1/chat/completions with a model name. We host the GPU.
RunPod
GPU pod rental. You rent containers by the hour, install your own runtime, manage your own scaling.
Pricing model
GPUBox
Per-call. £1.00 per million tokens (chat), £0.005 per audio minute. No idle charges.
RunPod
Per-hour pod rental. ~$0.34/hr for RTX 4090, ~$0.69/hr for RTX A6000, ~$2.69/hr for H100. Pay for the time the pod is running.
Hardware location
GPUBox
United Kingdom. Single-region by design. UK-incorporated operating company.
RunPod
Global. ~30 regions across NA / EU / Asia. Customers self-select region.
GPU allocation
GPUBox
Your card is your card. Dedicated capacity, never re-allocated mid-project. The hardware you started a job on is the hardware that finishes it.
RunPod
Shared pool. GPUs can be re-allocated to other customers; if your SKU isn't available you may be asked to switch to a different card mid-project. Fine for short jobs, friction for multi-day training runs.
Data sovereignty
GPUBox
UK-domiciled hardware, UK company, UK jurisdiction. No data leaves the UK without your action.
RunPod
Region-dependent. Most regions are US-based. EU regions exist. No specific UK-sovereign offering.
Setup time
GPUBox
Change one URL in your existing OpenAI SDK code. Three lines. No infrastructure to provision.
RunPod
Pick a template (vLLM, Ollama, custom) → spin up a pod → wait for warm-up → expose endpoint. Minutes per pod.
Model selection
GPUBox
Curated. Three models live: Qwen2.5-32B-Instruct (chat), Whisper-large-v3-turbo (audio), BGE-M3 (embeddings).
RunPod
Anything you can fit in a container. Bring-your-own-model. Hundreds of community templates.
Cold starts
GPUBox
None. Models are warm. First token is sub-second on chat completions.
RunPod
Yes on serverless tier. Mitigated by their FlashBoot warm-pool. Pod-tier has no cold start (you're paying for warm).
Idle charges
GPUBox
None. You pay only for tokens you generate.
RunPod
Yes on pod tier. The card is yours while it's running, even if you're not making requests.
Scale ceiling
GPUBox
Single 5090 today. Capacity-planned, not auto-elastic. Email us for dedicated capacity.
RunPod
Effectively unlimited. Spin up as many pods as you can pay for.
Custom models / fine-tuning
GPUBox
Not yet on the API. Roadmap (Factory product). Available manually for partnership engagements.
RunPod
Yes — bring any container. Train, fine-tune, run any model you can package.
OpenAI SDK compatibility
GPUBox
Full. Python, Node, Go, curl — every official SDK works with one URL change.
RunPod
Depends on the template. vLLM templates yes. Custom containers: whatever you implement.
Billing
GPUBox
GBP, VAT-compliant invoicing for UK and EU customers.
RunPod
USD primarily. International billing supported.
Audit log
GPUBox
Per-call audit log retained 30 days minimum. Token-level usage in dashboard.
RunPod
Pod-level usage logs. Per-request logging is your responsibility (you're running the runtime).
Pick GPUBox if
- You want OpenAI-compatible API access in three lines of code.
- You need UK data residency for regulatory or contractual reasons.
- You want predictable per-token pricing, not per-hour pod meters.
- Your training run can't tolerate the card being reassigned mid-job.
- You want managed model serving — no template selection, no warm-up tuning.
- Curated chat / audio / embeddings models cover your use case.
Pick RunPod if
- You need a specific OSS model GPUBox doesn't host.
- You're running custom training and need raw container control.
- You need cards we don't have (H100, A100, multi-GPU pods).
- You're operating globally and want region selection per pod.
- Your traffic is bursty enough that hourly metering wins on cost.
Try the drop-in for yourself.
Email us for a same-day API key. First £20 of usage is on us.