Sold by: Bineric AI
Deployed on AWS
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The fast, low-cost Zuse: a European decision model that works like TypeSafe's Jev and runs in your own AWS account. Give it a document and your questions; it picks an answer from your options and says how sure it is. 83 languages, 27 European ones trained. Your documents never leave your VPC.
Overview
Zuse is Bineric's decision model for European companies. Give it a document, such as an email, a ticket, a claim or a contract clause, and the questions you want answered. For each question it picks from the options you set and returns how sure it is, so you can act automatically on the confident answers and send the rest to a person. It is built for routing, triage, compliance checks and filling fixed fields, where a chat model is slower, costlier and harder to audit. It cannot answer outside the options you give it.
Zuse uses the same request format as TypeSafe's Jev, so teams that know Jev can start straight away, with the model running inside their own AWS account instead of a hosted API. Requests in the OpenAI Decisions format are accepted too.
Zuse 9B is the fast, low-cost model in the family: it fits the smallest GPU instances and answers about twice as fast as Zuse 27B, at 3.8 points lower accuracy. It is built on Qwen3.5-9B-Base and learned from Zuse 27B's own answers; Zuse 27B was trained by Bineric on permissively licensed public data and data we generated and translated ourselves. No customer data was used, and no proprietary model's outputs. Bineric AS, Oslo, Norway.
Languages: 83 languages score 85% or more on reading and topic tests (Belebele and SIB-200, 210 languages tested).
Trained on 27 European languages: Bulgarian, Croatian, Czech, Danish, Dutch, English, Estonian, Finnish, French, German, Greek, Hungarian, Icelandic, Italian, Latvian, Lithuanian, Maltese, Norwegian Bokmal, Norwegian Nynorsk, Polish, Portuguese, Romanian, Slovak, Slovenian, Spanish, Swedish, Ukrainian.
17 more European languages: Albanian, Asturian, Basque, Belarusian, Bosnian, Catalan, Galician, Irish, Limburgish, Luxembourgish, Macedonian, Occitan, Russian, Serbian, Sicilian, Venetian, Welsh.
39 languages beyond Europe: Afrikaans, Arabic, Awadhi, Azerbaijani, Banjar, Bhojpuri, Cantonese, Chhattisgarhi, Chinese (Simplified), Chinese (Traditional), Dari, Egyptian Arabic, Esperanto, Hebrew, Hindi, Indonesian, Japanese, Kannada, Korean, Kyrgyz, Magahi, Maithili, Malay, Marathi, Minangkabau, Papiamento, Sanskrit, Sinhala, South Levantine Arabic, Ta'izzi-Adeni Arabic, Tagalog, Tamil, Tatar, Tok Pisin, Tunisian Arabic, Turkmen, Uyghur, Vietnamese, Yiddish.
Highlights
- One pass answers many questions about a document: yes/no, a choice among up to 255 options, or a position on a scale. Each answer has a calibrated probability, so you automate the confident cases and route the rest to people.
- 83 languages at 85% or more, with 27 European languages trained on. 83.6% accuracy with these 4-bit weights on 20,044 questions from 11 task families it never trained on (Zuse 27B: 87.4%). Documents up to 64k tokens (measured to 32k).
- Runs inside your AWS account on one 24 GB GPU, down to the smallest (ml.g5.xlarge), with network isolation, so your documents never leave your VPC. About 0.2 s per request. Same request format as TypeSafe's Jev.
Details
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Pricing
Free trial
Try this product free for 7 days according to the free trial terms set by the vendor.
Pricing is based on actual usage, with charges varying according to how much you consume. Subscriptions have no end date and may be canceled any time.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
Dimension | Description | Cost/host/hour |
|---|---|---|
ml.g5.xlarge Inference (Real-Time) Recommended | Model inference on the ml.g5.xlarge instance type, real-time mode | $2.00 |
ml.g5.2xlarge Inference (Batch) Recommended | Model inference on the ml.g5.2xlarge instance type, batch mode | $2.00 |
ml.g6.xlarge Inference (Real-Time) | Model inference on the ml.g6.xlarge instance type, real-time mode | $2.00 |
ml.g5.2xlarge Inference (Real-Time) | Model inference on the ml.g5.2xlarge instance type, real-time mode | $2.00 |
ml.g5.4xlarge Inference (Real-Time) | Model inference on the ml.g5.4xlarge instance type, real-time mode | $2.00 |
ml.g6.2xlarge Inference (Real-Time) | Model inference on the ml.g6.2xlarge instance type, real-time mode | $2.00 |
ml.g6.4xlarge Inference (Real-Time) | Model inference on the ml.g6.4xlarge instance type, real-time mode | $2.00 |
ml.g6e.xlarge Inference (Real-Time) | Model inference on the ml.g6e.xlarge instance type, real-time mode | $3.00 |
ml.g6e.2xlarge Inference (Real-Time) | Model inference on the ml.g6e.2xlarge instance type, real-time mode | $3.00 |
ml.g6.2xlarge Inference (Batch) | Model inference on the ml.g6.2xlarge instance type, batch mode | $2.00 |
Dimensions summary
You pay by the hour for the instance you run, billed per host-hour (HostHrs). The dimensions split across GPU instance families, with sizes ranging from xlarge to 4xlarge. You choose between two inference modes: real-time, for immediate responses, and batch, for processing groups of requests. Real-time mode covers eight instance options across the g5, g6, and g6e families. Batch mode covers three options on the g5, g6, and g6e families. Pricing scales with the instance size and family you select, so you match capacity to your workload.
Top-of-mind questions for buyers
You get one running instance of the chosen GPU size, charged for each hour it stays active. A host-hour covers the model hosting on that instance. Larger instance sizes and families give more compute capacity for each host-hour you run.
Both bill per host-hour. Real-time mode keeps an endpoint running for immediate responses, so you pay for the time the instance stays up. Batch mode processes grouped requests, charging for the hours the job runs. Real-time suits live traffic; batch suits scheduled bulk work.
Charges accrue per host-hour while the instance runs. A stopped instance does not accrue host-hour software charges. Underlying AWS infrastructure fees, such as storage, may still apply separately. The model charge meters active running time only.
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No refunds on hourly usage. For billing questions or problems, email support@bineric.com and we will answer within one business day (CET).
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Delivery details
Amazon SageMaker model
An Amazon SageMaker model package is a pre-trained machine learning model ready to use without additional training. Use the model package to create a model on Amazon SageMaker for real-time inference or batch processing. Amazon SageMaker is a fully managed platform for building, training, and deploying machine learning models at scale.
Deploy the model on Amazon SageMaker AI using the following options:
Version release notes
First release: Zuse 9B, 4-bit weights, one 24 or 48 GB GPU. Network isolated.
Additional details
Inputs
- Summary
JSON: a document ('state', text up to 64k tokens) and named typed questions ('noul', 'choice', 'score'). Batch transform: JSON Lines, one request per line.
- Limitations for input type
- Text only, 27 European languages; up to 64k tokens per document; up to 255 options per choice question; 2-10 levels per score question.
- Input MIME type
- application/json, application/jsonlines
{"state": "Hei, jeg vil avslutte kredittkortet mitt og flytte boliglånet til en annen bank. Kan dere sende meg innfrielsesbeløpet?", "questions": {"intent": {"type": "choice", "instructions": "What does the customer want?", "criteria": {"a": "Close the customer relationship or move the loan", "b": "A question about a card transaction", "c": "Something else"}}, "asks_for_document": {"type": "noul", "instructions": "Does the customer ask the bank to send them something?"}}}
https://raw.githubusercontent.com/binericai/zuse-aws-marketplace/main/samples/input.jsonl
Input data descriptions
The following table describes supported input data fields for real-time inference and batch transform.
Field name | Description | Constraints | Required |
|---|---|---|---|
state | The document to decide on (string or JSON). | - | Yes |
questions | Map of question name to {type, instructions, criteria}. | - | Yes |
Resources
Vendor resources
Support
Vendor support
Email support@bineric.com . We answer within one business day (CET). Usage guide, sample requests and a notebook:
AWS infrastructure support
AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.
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