comparisons · Modal
GPU Flow vs Modal: European inference without deploying anything.
Modal is an excellent serverless GPU compute platform: you pay per second, it scales to zero and you run your own code or model. But it's in the United States, bills in dollars and, above all, it's raw infrastructure, you build the inference service yourself.
GPU Flow is the European alternative for teams who want LLM inference ready to go: a token API compatible with OpenAI and Anthropic, dedicated NVIDIA B200 GPUs and SSH sandboxes, with data on European soil and invoicing in euros. This page explains when each one fits, with data from June 2026.
Quick comparison
June 2026 data. Modal prices: official per-second rates converted to hourly. GPU Flow prices: official catalogue. Figures approximate and subject to change.
| Feature | GPU Flow | Modal |
|---|---|---|
| Datacenter | Spain (EU) | United States (multi-region) |
| Compute model | Dedicated GPU (hour/month/year) + prepaid token API | Serverless per second, scales to zero |
| Invoicing | Euros · EU VAT · prepaid credit | Dollars · per second of usage |
| B200 GPU | Dedicated from 1.10 €/h (MIG slice) | ≈ $6.25/h (serverless) |
| Ready inference API | Yes · 8 models, OpenAI + Anthropic SDK | No · you deploy your own model/code |
| Data residency | Guaranteed in the EU | United States |
| SSH sandbox + agents | Yes · Claude Code / OpenCode templates | No · ephemeral serverless functions |
| Support | Human email <4 working hours, in Spanish/English | Docs + community (Slack) |
When to choose GPU Flow
You want inference ready, not infrastructure
With Modal you stand up the inference server yourself (container, vLLM, autoscaling, queues). With GPU Flow you point the OpenAI or Anthropic SDK at api.gpuflow.ai and you're calling 8 open-source models. Zero DevOps: time to first token in minutes, not sprints.
You need data on European soil (strict GDPR)
Regulated sectors in Spain and the EU: banking, public sector, health, education, legal. Your DPO will ask where data is processed. GPU Flow answers with ENS Medium + ISO 27001, all in Spain, with no sub-processors outside the EU.
You want euro invoicing, no FX surprises
Modal bills in dollars per second of compute, with variable conversion. GPU Flow is prepaid credit in euros: top up, consume by tokens or hours, and see spend in the dashboard. The same balance works for Token Factory, Sandbox and dedicated GPU.
You want a dedicated B200, not shared
If you need stable latency with no noisy neighbours, GPU Flow gives you a B200 (or hardware-isolated MIG slice) reserved by hour, month or year in Spain, with an internal RDMA link to Token Factory so calls never hit the public internet.
When to choose Modal
If you need general-purpose serverless GPU compute (running arbitrary Python, batch jobs, fine-tuning, data pipelines or models you package yourself) Modal is excellent: scale-to-zero and per-second billing are ideal for intermittent or highly variable workloads.
Also if your team is in the US with no EU data-residency requirements, or if your case isn't only LLM inference but generic GPU compute with maximum deployment flexibility. GPU Flow focuses on ready inference, dedicated GPU and sandboxes; it isn't a serverless platform for arbitrary compute.
Try it free now
5 € of free credit when you create your account, no card. In 3 minutes you have your API key and run the first curl against any catalogue model, without deploying anything.
start freeFAQ: GPU Flow vs Modal
How is GPU Flow different from Modal?
Modal is general-purpose serverless GPU compute: you deploy your code and pay per second. GPU Flow is ready LLM inference (a token API compatible with OpenAI and Anthropic) plus dedicated B200 GPUs and SSH sandboxes, with data in the EU and euro invoicing. With GPU Flow you don't build the inference server: it's already there.
How much does it cost to migrate from Modal?
If you served an LLM on Modal, on GPU Flow you typically stop maintaining that service: change the base URL of the OpenAI or Anthropic SDK to api.gpuflow.ai and you're done. For generic GPU compute, reserve a dedicated B200 or a MIG slice.
Is it cheaper than Modal?
It depends on usage. Modal charges per second and scales to zero, ideal for intermittent loads. GPU Flow offers dedicated B200 from 1.10 €/h (MIG slice) and managed inference from 0.03 €/M input tokens, ideal for sustained use and predictable pricing in euros.
Where is my data processed?
In a datacenter in Spain. It never leaves the European Union and is not replicated outside the EU. The platform is ISO 27001 and ENS Medium certified. Standard DPA available.
Is it compatible with the OpenAI or Anthropic SDK?
Yes. The API exposes /v1/chat/completions (OpenAI) and /v1/messages (Anthropic). Point your SDK at api.gpuflow.ai with your API key. We support SSE streaming, function calling and configurable reasoning.
Do you have human support?
Yes. Direct email to [email protected]. We respond in under 4 working hours (Mon–Fri, 09:00–19:00 Spain time), in Spanish or English.
European inference, ready in minutes
No infrastructure to deploy, no card and no commitment. 5 € of gifted credit and the API key in your email in under 3 minutes.