Drop-in replacement for OpenAI and Anthropic. Same endpoints, same tools. EU-hosted on our own GPUs in Finland. Zero data retention. €20/month. Flat.
I'm Emir. Bosnian, living in the Netherlands for the past seven years. I used to run production Kubernetes at Booking.com. I built AffordableAI alone, bootstrapped, because someone in Europe should. No investors, no hype, just good infrastructure.
We benchmarked our single B300 against the official DeepSeek API across prompt sizes. Our stack delivers 2–4× lower time-to-first-token and 2–3× faster decode. Same model, same weights, better engineering. Finland. MIT license.
DeepSeek V4 Flash · NVIDIA B300 · Finland · MIT license · Benchmark data available on request.
Official benchmarks from the HuggingFace model card. V4 Flash (Max reasoning mode) against the best closed-source models. Source: DeepSeek V4 Flash.
| Benchmark | V4 Flash Max | Opus 4.6 Max | GPT-5.4 xHigh |
|---|---|---|---|
| LiveCodeBench | 91.6 | 88.8 | — |
| GPQA Diamond | 88.1 | 91.3 | 93.0 |
| HLE | 34.8 | 40.0 | 39.8 |
| SWE Verified | 79.0 | 80.8 | — |
V4 Flash Max beats Opus on code generation (LiveCodeBench) and is competitive on software engineering (SWE Verified, 79.0 vs 80.8). It's a 284B MoE with 13B active parameters — small enough to fit on a single GPU with room for KV cache, large enough to compete with models costing 50-100x more per token. MIT license. Open weights. No vendor lock-in.
Why this model and not something else? MIT license. Open weights. No vendor lock-in. The same model that powers DeepSeek's own API, served from our own GPUs in Finland — not DeepSeek's.
Same endpoints your tools already speak. Works with OpenAI SDKs, Cursor, Claude Code, Continue, aider. Change the base URL and keep coding.
Twenty euros. Unlimited use within fair-use. No counters ticking while you think. No surprise invoice at the end of the month. No manager asking why the AI bill doubled.
Entire codebases, full conversation histories, and long documents in a single session. Hybrid attention makes this practical at scale — without per-token costs punishing long contexts.
Our single B300 delivers sub-second time-to-first-token even under concurrent load. The same stack that outperforms the official API handles multiple users without breaking stride.
Prompts and completions exist only in GPU memory. Nothing touches a disk. Nothing is logged. Your code and conversations stay yours.
Tokens arrive as they're generated. Server-sent events. No polling for completions, no waiting for batches to finish.
The US controls 80% of the world's AI compute. Europe has 5%. The largest US AI supercomputer runs at 1,250 MW — Europe's largest at 83 MW. OpenAI raised $122 billion in a single round; the entire EU AI investment plan repackaged €200 billion mostly from existing budgets. As Mistral's CEO told the French parliament: Europe has two years before becoming America's "AI vassal state." Training foundation models from scratch is a game Europe already lost. The smart play is competing on deployment — take the best open-weight models, run them on European GPUs, and win on operations, pricing, and trust.
Per-token pricing turns a developer tool into a budget line item that gets scrutinised, capped, and cut. Companies are restricting AI tool access after blowing through budgets in months. Engineers are rationing prompts. Startups are building products just to track and reduce token costs. AI inference should be a utility, not a metered luxury.
On June 13, 2026, the US issued its first-ever export control on LLMs — banning foreign access to frontier models with zero notice. Over 80% of Europe's digital infrastructure already depends on non-EU providers. Every application running on US-hosted AI is one directive away from going dark. If your inference runs outside the EU, you don't control it.
Everything included. No surprises.
Volume pricing for engineering teams.
One email when we launch. That's it.
hi@affordableai.eu