{"slug": "occamy-1-0-open-pareto-frontier-35b-intelligence-for-co-work", "title": "Occamy-1.0: Open Pareto-frontier 35B Intelligence for Co-work", "summary": "Occamy-1.0, an open 35B co-work agent model trained from Qwen3.6-35B-A3B, lands at the low-cost knee of the cost-performance Pareto frontier across four representative co-work benchmarks, according to its arXiv paper. The model is positioned to let production agent stacks route long-horizon workflow steps — tool use, coding, file manipulation, recovery, and coordination — to a cheaper specialized model instead of frontier-scale systems.", "body_md": "[arXiv](https://arxiv.org/abs/2609.11977)\n\n### Occamy-1.0: Open Pareto-frontier 35B Intelligence for Co-work\n\nWhich summary reads better? Pick one — models revealed after.Both summaries are AI-generated.\n\nOccamy-1.0 is an open 35B co-work agent model trained from Qwen3.6-35B-A3B that lands at the low-cost knee of the cost-performance Pareto frontier across four representative co-work benchmarks. For production agent stacks, this means many long-horizon workflow steps—tool use, coding, file manipulation, recovery, and coordination—can be routed to a cheaper specialized model without defaulting every invocation to frontier-scale systems.\n\nOccamy-1.0 delivers frontier-class agentic and tool-use performance on a 35B open-weight footprint, establishing a new low-cost Pareto frontier for multi-step workflows. By training specifically on long-horizon, execution-grounded trajectories, this model enables production teams to migrate complex agent loops—such as state tracking, tool calling, and error recovery—from expensive proprietary APIs to cost-effective self-hosted hardware. This drastically slashes the cumulative compounding costs of multi-turn agent episodes without sacrificing execution reliability.", "url": "https://wpnews.pro/news/occamy-1-0-open-pareto-frontier-35b-intelligence-for-co-work", "canonical_source": "https://www.snipvote.com/story/cmu0x53mf0006121v8lgaz3yz", "published_at": "2026-09-14 07:32:34.111188+00:00", "updated_at": "2026-09-14 07:32:35.411135+00:00", "lang": "en", "topics": ["ai-agents", "large-language-models", "ai-tools", "ai-research"], "entities": ["Occamy-1.0", "Qwen3.6-35B-A3B", "arXiv"], "alternates": {"html": "https://wpnews.pro/news/occamy-1-0-open-pareto-frontier-35b-intelligence-for-co-work", "markdown": "https://wpnews.pro/news/occamy-1-0-open-pareto-frontier-35b-intelligence-for-co-work.md", "text": "https://wpnews.pro/news/occamy-1-0-open-pareto-frontier-35b-intelligence-for-co-work.txt", "jsonld": "https://wpnews.pro/news/occamy-1-0-open-pareto-frontier-35b-intelligence-for-co-work.jsonld"}}