# Tether AI Research says BotPsy beats larger models in tool use

- Published: 2026-11-11T05:01:16.000Z
- Updated: 2026-11-11T10:05:47.179Z
- Section: Models
- Topics: Research, Agents
- Page: https://aidailyjournal.com/en/n/2026/11/11/tether-ai-research-says-botpsy-beats-larger-models-in-tool-use/
- Sources: [Hugging Face](https://huggingface.co/blog/qvac/botpsy)

## Summary

Tether AI Research introduced BotPsy, a 0.8-billion-parameter model built on Qwen3.5-0.8B for function calling, agentic workflows and on-device deployment. The assistant uses tools for tasks including web research, travel, commerce, device control, files, calendars and messaging. The company says it is best suited to low- and medium-difficulty tasks and helps keep user data private.

Tether AI Research says BotPsy outperformed every tested model with up to 1.2 billion parameters across six tool-use and agentic benchmarks, while also beating Qwen3.5-2B-Think — 2.5 times larger — on five of them. However, the model can still make mistakes, performs worse in lower-resource languages and is not intended for high-stakes use. BotPsy is available in safetensors and GGUF formats.

## Why it matters (editorial interpretation)

A compact model designed for tool use could matter for on-device agents, especially where privacy and limited resources are important. However, the results come from Tether AI Research itself, and caveats about errors, lower-resource languages and high-stakes use limit the comparison’s scope.

_Summary written by AI Daily Journal in its own words, based on the sources above. For details, read the original articles._