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Occamy-1.0: New 35B Co-work Agent Prioritizes Cost-Efficiency

By PulseAugur Editorial · [1 sources] ·

Researchers have introduced Occamy-1.0, a new 35-billion parameter co-work agent model designed for efficiency in complex, multi-step tasks. By further training the Qwen3.6-35B-A3B checkpoint with execution-grounded data, Occamy-1.0 aims to balance strong performance with lower costs, which is crucial for agents that can invoke models hundreds of times per task. The model demonstrates competitive performance against larger systems on various benchmarks, positioning itself on the cost-performance Pareto frontier while retaining broad agentic capabilities like tool use and coding. AI

IMPACT This model's focus on cost-efficiency for complex agentic tasks could influence the development of practical AI agents for enterprise use.

RANK_REASON The cluster describes a new model release with a paper, but it is not from a tier-1 frontier lab. [lever_c_demoted from research: ic=1 ai=1.0]

Read on Hugging Face Daily Papers →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

Occamy-1.0: New 35B Co-work Agent Prioritizes Cost-Efficiency

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0 / 100
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Tool
The cluster describes a new model release with a paper, but it is not from a tier-1 frontier lab. [lever_c_demoted from research: ic=1 ai=1.0]
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Only one publisher covered this so far. Single-source stories can still rank when the publisher is high-authority, but they lack cross-source corroboration.
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model release, product
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High
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12 days old
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COVERAGE [1]

  1. Hugging Face Daily Papers TIER_1 English(EN) ·

    Occamy-1.0: Open Pareto-frontier 35B Intelligence for Co-work

    Occamy-1.0 is a cost-efficient co-work agent model that achieves strong performance on complex multi-step tasks while maintaining broad agentic capabilities at lower cost.

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