Comparison
Frontière AI vs Fireworks AI: the EU-sovereign alternative to US inference
Fireworks AI and Frontière AI both serve open-source inference, but they sit under different legal systems, and Fireworks AI offers capabilities we deliberately do not. Fireworks AI, Inc. is a California company that provides fast serverless inference, fine-tuning, and training services with per-token pricing — on Llama 3.3 70B, its Standard tier publishes roughly €0.173 ($0.20) per million input tokens against our €0.898. What owning an advanced training stack does not change is who can compel access to it: a US-incorporated company remains subject to US legal process under the CLOUD Act. Frontière AI is a French company routing to EU providers with no non-EU capital control, labeling every model's jurisdiction before you call it, and storing no prompts. Pick Fireworks AI for speed, fine-tuning and per-token pricing; pick Frontière AI when you have to answer for jurisdiction rather than just for data location.
Side by side
Every row below comes from the other side's own published pages, checked on 2026-08-06 and linked at the end of this section — not from a third-party comparison.
| Criterion | Frontière AI | Fireworks AI |
|---|---|---|
| Operating company | FLEECE AI SASU | Fireworks AI, Inc. |
| Headquarters | France | San Francisco, California, United States |
| Governing law | French / EU law | State of California |
| US CLOUD Act exposure | None on the 14 sovereign models (EU companies, no non-EU control) | Yes — US-incorporated company, regardless of where inference runs |
| How the catalog works | Curated catalog, 27 models live, each pinned to a named provider | Direct provider with serverless inference, fine-tuning and managed training, plus per-token pricing tiers |
| Llama 3.3 70B, per 1M tokens (in / out) | €0.898 / €0.898 | €0.173 ($0.20) / €0.519 ($0.60) |
| Prompt storage | Never stored — only token counts and the amount charged | Standard contractual clauses for data transfers; privacy policy does not document zero retention by default |
| Jurisdiction visible per model | Yes — sovereign / fast access, on the card and in the API response | No EU data residency documented in the privacy policy; transfers covered by standard contractual clauses |
Prices published in USD, shown converted at 1 USD = 0.8655 EUR (rate of 2026-08-05) alongside the original figure. Frontière AI publishes in EUR, margin included — the amount actually debited.
Why the price gap? Fireworks AI offers serverless inference with Standard/Priority/Fast tiers, plus fine-tuning and managed training — capabilities we deliberately do not offer. Frontière AI adds a fixed margin over named EU providers, inference only. The price gap on commodity models reflects two factors: a US provider that amortises across inference, training and fine-tuning versus a French company that scopes itself to curated inference on EU sovereign hardware. You pay for a narrower scope with a clearer jurisdiction.
Sources, checked on 2026-08-06: fireworks.ai — pricing · fireworks.ai — privacy policy · fireworks.ai — terms of service
Where Fireworks AI is the better choice
- Serverless inference with three pricing tiers (Standard, Priority, Fast) lets you balance cost and latency per workload.
- Fine-tuning and managed training are first-class products; we only serve inference on a curated catalog.
- On Llama 3.3 70B input, Fireworks AI's Standard tier is around €0.173 ($0.20) per million input tokens against €0.898 on Frontière AI — cheaper on input.
- A broader catalog across model families and sizes, including proprietary models we do not serve.
Where Frontière AI is the better choice
- The operating company is French. There is no US parent, licensee or affiliate through which a US order could reach your data on the sovereign tier.
- Every model carries its jurisdiction before you call it, in the catalog and in the API's own response.
- API prompts and completions are never written to our database — only the token counts billing requires.
- Prices are published in euros, margin included, so the figure you compare is the figure you are billed.
How to choose, concretely
The two are not mutually exclusive, and for most teams the honest answer is to use both:
- Fine-tuning, custom weights, high-volume commodity inference: Fireworks AI does things we deliberately do not.
- Regulated, personal or client data — anything a DPO signs off on: pick the tier where corporate jurisdiction is settled, not just the contractual safeguards.
- If you only remember one rule: data-centre location is a geography question, and a subpoena is a corporate-control question. Answer the second one first.
FAQ
Is Fireworks AI GDPR-compliant?
Fireworks AI documents mechanisms GDPR asks for: standard contractual clauses for international transfers and data subject rights. What none of that addresses is jurisdictional reach: Fireworks AI, Inc. is a California company, so US legal process under the CLOUD Act applies to data it controls. Compliance paperwork and jurisdictional exposure are separate axes.
Is Frontière AI cheaper than Fireworks AI?
On Llama 3.3 70B input, Fireworks AI's Standard tier is around €0.173 ($0.20) per million input tokens against €0.898 on Frontière AI — cheaper on input but more expensive on output. Our prices include a fixed margin over what named EU providers charge us, and sovereign EU capacity is not the cheapest capacity on the market. The argument for Frontière AI is jurisdiction, not price.
Does Fireworks AI offer EU data residency?
Its published privacy policy does not document an EU residency or EU-region inference option, and states data may be transferred and maintained outside your country under standard contractual clauses. If EU-region processing matters to your policy, that is worth confirming with them directly rather than inferring it.
Can I fine-tune models on Frontière AI?
No. Frontière AI scopes itself to inference on a curated catalog of open-source models. Fireworks AI, Together AI and others offer fine-tuning and managed training as first-class products. If fine-tuning is a core requirement, those providers will serve you better — and you can still use Frontière AI for the inference of regulated workloads alongside them.
See what we actually serve
Thirteen models live, each with its publisher, licence, hosting jurisdiction and real price.