A factual comparison of Berget AI and JuiceFactory for European AI teams.
Last reviewed 2026-09-12. Pricing and model availability change frequently — verify before migrating.
Berget AI and JuiceFactory are both Swedish AI inference providers. Both publish an OpenAI-compatible API, Swedish or EU data residency, and zero prompt retention. This is therefore not a simple EU-versus-US comparison: the practical choice is about API scope, model breadth, onboarding friction, and how you want to pay after a trial.
Teams that want Berget's broader public catalogue, including audio transcription and reranking, Berget Code, or a monthly plan with prepaid credits and enterprise support options.
Developers who need focused chat, vision, and embedding inference, want to validate an integration with up to 100 standard requests without a payment card, and prefer usage-based access without a monthly subscription floor.
| Feature | Berget AI | JuiceFactory | Edge |
|---|---|---|---|
| Inference jurisdiction | Swedish jurisdiction; inference on infrastructure in Sweden | Swedish jurisdiction; inference hosted in Sweden | Comparable |
| Prompt and response retention | Zero data retention according to Berget's public documentation | Stateless processing; no prompt or response retention | Comparable |
| OpenAI-compatible API | Yes — chat, embeddings, audio transcription, and model discovery | Yes — chat completions, embeddings, streaming, and tool calling | Comparable |
| Starter trial | €5 starting credit; payment card required | Up to 100 standard requests; no payment card required | Comparable |
| Continued API access | Active plan from €25/month in prepaid credits | Usage-based access; no monthly subscription required | ✓ JuiceFactory |
| Public capability breadth | Text, vision, audio, OCR, embeddings, and reranking | Focused chat, vision, embeddings, and dedicated inference options | ✓ Competitor |
| DPA | Included with all plans according to Berget | Available in the customer portal | Comparable |
| Dedicated capacity | Dedicated endpoints offered through sales | Dedicated inference capacity offered through sales | Comparable |
A verified JuiceFactory account includes starter credit for up to 100 standard requests. That is enough to run an end-to-end integration test before deciding how to fund continued usage.
Berget requires an active plan from €25 per month after its trial. JuiceFactory is a better fit when usage is intermittent or you want the API bill to follow actual consumption.
Both providers use an OpenAI-compatible interface. A controlled evaluation can therefore keep the same SDK while changing the base URL, API key, and model identifier.
We don't want migrations that don't fit. Stay with Berget AI if any of these apply:
Chat and embedding workloads are the simplest to test. Confirm current model availability before moving any audio, reranking, or Berget Code workflow.
Create and verify an account, then use the included starter allowance for an isolated evaluation. No payment card is required for the test.
Keep the OpenAI SDK and switch the base URL. Select a JuiceFactory model that matches your workload.
from openai import OpenAI
import os
# Before (Berget AI)
# client = OpenAI(
# api_key=os.environ["BERGET_API_KEY"],
# base_url="https://api.berget.ai/v1",
# )
# Evaluation (JuiceFactory)
client = OpenAI(
api_key=os.environ["JUICEFACTORY_API_KEY"],
base_url="https://api.juicefactory.ai/v1",
)Compare quality, time to first token, throughput, error handling, and total cost on your own prompts. Do not migrate solely from a vendor benchmark.
Both providers publicly commit to European or Swedish processing and zero prompt retention. Treat those claims as the starting point, then compare the current DPA, sub-processors, security controls, and the exact services in your data flow with your DPO.
They optimise for different things. Berget publishes €5 in starting credit but requires a payment card. JuiceFactory offers up to 100 standard API requests after account verification without requiring a payment card. Use the trial that best matches the workload you need to validate.
For OpenAI-compatible chat and embedding calls, usually yes: change the base URL, key, and model identifier, then rerun your test suite. Berget-specific capabilities such as audio or reranking require a separate compatibility check.
No. Berget currently advertises a broader public capability catalogue. Check the current JuiceFactory model list in the portal and evaluate the models you actually need rather than assuming a one-to-one mapping.
People evaluating Swedish AI infrastructure should be able to see where each service fits. JuiceFactory publishes this page, identifies its own advantages and limitations, links to primary Berget sources, and dates the review so readers can verify every changing detail.
Create an account and test with up to 100 standard API requests. Same SDK, same code. Two lines change.