Apertus
Switzerland's public open model: weights, data and recipe are open, with more than 1000 languages in training. Version 1.5 understands images.
- Developer
- Swiss AI (ETH Zurich, EPFL, CSCS), Switzerland
- First release
- Sep 2025
- Latest release
- Jul 2026
- Sizes
- 0.5B – 70B
- License
- Commercial use allowedApache 2.0
- Russian
- Not stated
- Ready-made builds
- GGUF, MLX (Apple)
- Running
- On your own serverAlso runs without a GPU
- Industries
- Public sector, Education, Science and research
What it does
- Multilingual assistant
- Answers based on documents
- Analysis of images and scans (v1.5)
- Fine-tuning with clear data provenance
Where it is used
Hardware requirements
Versions
- Apertus v1.5 8B / 70B
- Apertus v1.1 (0.5B – 4B)
- Apertus 8B / 70B
How to run it
I can set this up end to end: pick the model size, deploy it on your server and connect it to your systems. Quantization compresses a model so it takes less video memory and runs on more modest hardware. Answers change slightly, so quality is checked on your own examples.
Frequently asked questions
Can Apertus be used in a commercial project?
Yes. License: Apache 2.0. It allows commercial use, but it is still worth having a lawyer review the license before launch.
What hardware does Apertus need?
At minimum: Laptop or regular PC, up to 8 GB of VRAM — smaller versions. Some versions also run on an ordinary CPU, without a GPU. You can calculate the exact VRAM for your model size and context in the hardware calculator.
Does Apertus support Russian?
The model card does not list languages, so Russian support cannot be promised — it has to be tested on your own examples.
Where can I download Apertus and what does it cost?
The Apertus weights are open and free to download. You only pay for the hardware it runs on and for the setup. Source links are at the bottom of this page.
How I deploy it for clients
- SelectionI pick the model size for your task and hardware and test it on your examples.
- DeploymentI deploy it on your server or in a closed network and provide an API.
- Fine-tuningI fine-tune it on your data (LoRA) or connect a knowledge base — whichever is cheaper for the task.
- IntegrationI connect it to your CRM, ERP, bot, website or team chat and set up monitoring.
Similar models
Fully open models: not only the weights but also the data, training code and intermediate checkpoints are published. Useful when transparent provenance matters.
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DetailsTextMistralMistral AI · FranceCommercial use with conditionsEuropean models focused on speed. Mixtral was one of the first open mixture-of-experts models; there are versions for images (Pixtral, Medium 3.5), Lean proofs and moderation (Shieldstral).
DetailsSource: huggingface.co/swiss-ai/Apertus-v1.5-70B. Data checked against the model card on 22 Sep 2026. Have a lawyer review the license before commercial launch.


