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Press release · September 10, 2026 · prnewswire.com

Abacus.AI launches Smaug open-weight LLM model line

Summary

Abacus.AI introduced three open-weight large language models within its enterprise agentic AI platform and Super Assistant, as part of a Smaug model line. The update centers on how the models are packaged and deployed, including where they run and how teams keep control of their data.

Abacus.AI said Smaug was designed to support long-running self-improving agentic loops in a cost-efficient way. The company also described the family as configurable for in-cloud hosting, with models available to download from Hugging Face.

Smaug uses a fine-tuning approach that Abacus.AI said applies to open-source base models. The company stated the technique improved the performance of long-running agentic loops by 15–20% without increasing cost, and that the models could be hosted in an enterprise cloud VPC environment.

The company released Smaug Agentic, Smaug Flash, and Smaug Mini. Smaug Flash was described as optimized for personal agents that can connect to messaging apps including WhatsApp, Telegram, and Slack and maintain long-running conversations; Abacus.AI said it was fine-tuned on DeepSeek Flash. Smaug Agentic was described as a 2T model based on Kimi K3; Smaug Mini was described as a 27B model optimized for multimodal use cases and smaller reasoning workloads. Abacus.AI also published the models on LiveBench AI and made a comparison to base models available, along with a technical brief. “Open-weight models are rapidly closing the gap to frontier closed models, but still underperform in long-running agent loops. The Smaug line addresses this shortcoming while still being 10-100x cheaper than closed-source models,” said Bindu Reddy, CEO of Abacus.AI.

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