Evidence-backed European AI register
STACKIT
Reviewed identity, roles, model listings, pricing and evidence for STACKIT.
Dataset compiled 2026-08-27 · evidence over inference
Reviewed identity
- Headquarters scope
- EU headquarters
- Headquarters record
- Bad Friedrichshall
- Legal entity
- Schwarz Digits Cloud GmbH & Co. KG (renamed from STACKIT GmbH & Co. KG in 2026)
- Ownership
- subsidiary of Schwarz Digits, the IT/digital division of the privately held Schwarz Group (Lidl, Kaufland)
- Founded
- 2018
- Confidence
- high
- Last verified
- 2026-08-22
Evidence boundaries
Organisation listings identify a reviewed canonical record. Model listings show an association in the source register; they do not by themselves establish model creation, current API availability, hosting location or infrastructure ownership.
Model listings
- Type
- multimodal
- Parameters
- 235B
- Context
- 200,000 tokens
- Languages
- multilingual
- Licence
- Apache-2.0
- Release
- unknown
- Type
- text
- Parameters
- 27B
- Context
- 262,000 tokens
- Languages
- multilingual
- Licence
- Hugging Face model licence
- Release
- unknown
- Type
- text
- Parameters
- 70B
- Context
- 128,000 tokens
- Languages
- multilingual
- Licence
- Llama 3.3 Community License
- Release
- 2024-12
- Type
- text
- Parameters
- 120B MoE
- Context
- 131,000 tokens
- Languages
- multilingual
- Licence
- Apache-2.0
- Release
- unknown
- Type
- text
- Parameters
- 20B MoE
- Context
- 131,000 tokens
- Languages
- multilingual
- Licence
- Apache-2.0
- Release
- unknown
- Type
- multimodal
- Parameters
- 27B
- Context
- 131,000 tokens
- Languages
- multilingual
- Licence
- Google Gemma licence
- Release
- 2025-03
- Type
- multimodal
- Parameters
- 31B
- Context
- 256,000 tokens
- Languages
- multilingual
- Licence
- Google Gemma licence / Apache-2.0
- Release
- unknown
- Type
- embedding
- Parameters
- 7B
- Context
- 4,096 tokens
- Languages
- multilingual
- Licence
- Apache-2.0
- Release
- unknown
- Type
- embedding
- Parameters
- 8B
- Context
- 32,000 tokens
- Languages
- multilingual
- Licence
- Apache-2.0
- Release
- unknown
- Qwen3 Vision-Language Embedding
- Type
- embedding
- Parameters
- unknown
- Context
- 32,000 tokens
- Languages
- multimodal multilingual
- Licence
- third-party (Alibaba Qwen)
- Release
- unknown
Published token prices
| Model | Input €/1M | Output €/1M | Currency | Evidence |
|---|---|---|---|---|
| e5-mistral-7b (embedding) | €0.02 | not published | EUR | price list |
| most chat models (standard rate) | €0.45 | €0.65 | EUR | price list |
| Tier: embedding-plus (Qwen3-VL-Embedding-8B) | €0.08 | not published | EUR | price list |
| Tier: embedding-standard (E5-Mistral-7B) | €0.02 | not published | EUR | price list |
| Tier: llm-plus (Qwen3.6 27B, Llama 3.3 70B, GPT-OSS 120B, Gemma 3 27B, Gemma 4 31B) | €0.45 | €0.65 | EUR | price list |
| Tier: llm-premium (Qwen3-VL 235B) | €1.5 | €1.75 | EUR | price list |
| Tier: llm-standard (GPT-OSS 20B) | €0.15 | €0.25 | EUR | price list |
Profile note
The cleanest fully-published per-token price list of any German sovereign cloud, on Schwarz Group's own infrastructure, serving open-weight models only. Its EUR 0.45 / EUR 0.65 Plus tier is effectively the German reference price for a 70B-class model. Note the unusual pricing design: you buy a tier, not a model — all Plus-tier models cost the same regardless of size. Max request body 3.8 MiB; generation tokens count 5x prompt tokens against TPM limits.
Record sources
- https://stackit.com/en/products/data-ai/stackit-ai-model-serving
- https://docs.stackit.cloud/products/data-and-ai/ai-model-serving/basics/available-shared-models/
- https://stackit.com/en/products/compute-engine/stackit-compute-engine-gpu
- https://stackit.com/en/products/compute-engine/stackit-compute-engine-gpu/gpu-models-in-comparison
- https://stackit.com/en/why-stackit/company-profile
- https://stackit.com/en/products/data-ai
- https://stackit.com/en/asset/download/37788/file/STACKIT_price_list.pdf
- https://european.cloud/2025/10/stackit-ai-model-serving/
- https://schwarz-digits.de/en/product-portfolio/cloud/stackit
- https://stackit.com/