Hugging Face has released Apertus 1.5, extending the 8B and 70B Apertus 1.0 models with image and audio understanding, an optional thinking mode, a four times longer context window, and improved tool use and instruction following. Released on July 24, 2026, under an Apache 2.0 license, the updated model weights build upon continued pretraining adding multimodal and text data. Multimodality is introduced via an early-fusion approach where images and audio enter as discrete tokens without requiring a separate vision encoder. Over half of the training tokens remain text-only to preserve original language capabilities, supported by refreshed datasets that adhere to permissively licensed and publicly available criteria. Post-training spans five stages, and evaluation scope has significantly expanded to include multimodal assessments, translation, safety, and thinking-mode benchmarks. Apertus 1.5 results are published using the Every Eval Ever schema to support transparent and reproducible benchmarking. Applications such as Proton Lumo and Infomaniak Euria have integrated Apertus 1.5, and API access is provided by companies including Swisscom and Infomaniak. Additionally, the team announced the roadmap for Apertus 2.0 at the AI+X Summit in Zurich, featuring a sparse/MoE architecture with approximately 600B total parameters.
Apertus 1.5 Release Notes
Hugging Face released Apertus 1.5, extending the 8B and 70B Apertus 1.0 models with image and audio understanding, a thinking mode, a four times longer context window, and improved instruction-following. The updated model weights were published on July 24, 2026, under an Apache 2.0 license. The release also outlines plans for Apertus 2.0.
Why it matters
The release demonstrates ongoing advancement in fully open multimodal models with transparent evaluation reporting aligned with AI governance frameworks. This approach provides a reproducible benchmark standard for the broader AI industry.