# Apertus 1.5 adds 4T tokens to 8B model, 2T to 70B, with multimodal and long-context upgrades

Digest AI · Generative AI & Models · published 2026-10-15T09:08:45Z

Canonical: https://digestai.news/story/apertus-1-5-adds-4t-tokens-to-8b-model-2t-to-70b-with-multimodal-and-l

## Summary

Apertus released version 1.5 of its open-weight models, adding 4 trillion tokens to the 8B model and 2 trillion to the 70B model. The update expands context to 262,144 tokens, introduces native multimodal understanding (images and audio alongside text), and improves reasoning with a ‘thinking mode.’ The models also better follow instructions and integrate with external tools, while adhering to the Apertus Charter for transparency.

The release includes detailed training data, intermediate checkpoints, and benchmark results published under the **Every Eval Ever (EEE)** schema. Apertus 1.5 outperforms similarly sized open models in coding, multilingual tasks, and legal reasoning, with multimodal performance competitive with closed-source models like Gemma 4 12B. Swisscom, Infomaniak, and Phoeniqs have announced API access, and apps like Proton Lumo and Infomaniak Euria have integrated the models. The project also previewed Apertus 2.0, targeting a sparse/MoE architecture with ~600B parameters.

## Key points

- Added 4T tokens to 8B model and 2T to 70B model, totaling 19T and 17T tokens respectively
- Context window expanded to 262,144 tokens (4x increase) with native multimodal support for images/audio
- Outperforms similarly sized open models in coding, multilingual tasks, and legal reasoning; API access via Swisscom, Infomaniak, and others

## Why it matters

Apertus 1.5 strengthens open AI by delivering competitive multimodal and long-context capabilities without proprietary walls. Its transparent benchmarks and open weights could set a standard for reproducibility, while its tool integration and reasoning improvements address gaps in open-source models.

## Sources

1. [Apertus 1.5 Release Notes](https://huggingface.co/blog/swiss-ai/apertus-v15-release-notes) (Hugging Face, 2026-10-15, primary source)

## Cite

Digest AI, "Apertus 1.5 adds 4T tokens to 8B model, 2T to 70B, with multimodal and long-context upgrades", 15 October 2026, https://digestai.news/story/apertus-1-5-adds-4t-tokens-to-8b-model-2t-to-70b-with-multimodal-and-l

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