Apertus-v1.5-8B Now Available as part of our AI on Demand Service

30.07.2026 | News | Luca Albrecht

The Apertus-v1.5-8B language model is now accessible through our managed AI on Demand service. Developed by Swiss researchers and engineers at Swiss AI Initiative, this 8‑billion‑parameter model embodies the precision, and reliability synonymous with Swiss innovation. Compared to its predecessor, the training base has been expanded by adding 2 trillion tokens of high-quality data. Data upsampling has been performed in strategic domains critical to public interest, including Health, Education, and Justice. It also introduces multimodal support for processing audio and image inputs, and therefore enables more intuitive and versatile interactions beyond text.

Apertus v1.5-8B is now part of our AI on Demand offering and can be seamlessly integrated into all common AI tools (such as opencode) via an OpenAPI-compatible interface Existing customers working with our hosted models will find deployment straightforward, with minimal code changes required to leverage the new model’s capabilities.

The service targets professional applications requiring reliable language understanding – including enterprise knowledge retrieval, sophisticated content generation, and specialized domain adaptation. Apertus‑v1.5‑8B maintains strong performance across diverse benchmarks while operating within the cost‑efficient parameters expected of production‑scale deployments.

Pricing follows our transparent, usage‑based model with no hidden fees, allowing precise cost monitoring aligned with actual consumption. This release marks another expansion of our AI on Demand offer, with further model additions and capability enhancements planned for upcoming quarters. More information may be found on the AI on Demand, powered by Swiss AI Initiative product page.

The complete guide is available on our wiki. Organizations interested in evaluating Apertus‑v1.5‑8B for their specific workflows are encouraged to contact our team for access and consultation.

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