@heyshrutimishra: Apodex 1.0 dropped and the architecture is genuinely different. It's post-trained on Qwen3.5 as a self-evolving system:…
Summary
Apodex 1.0 is a self-evolving AI system post-trained on Qwen3.5, achieving SOTA on BrowseComp, DeepSearchQA, and HLE-text. Its 4B mini model outperforms 30B-class models, with an AgentOS runtime for task orchestration. Open weights available.
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Apodex 1.0 dropped and the architecture is genuinely different.
It’s post-trained on Qwen3.5 as a self-evolving system: math, coding, and general knowledge stay intact while deep-research ability compounds over time. No catastrophic forgetting. That balance is harder to build than it sounds.
The heavy-duty side: the 1.0-H model runs up to 150 sub-agents in parallel, all exploring the web simultaneously. A separate verification layer audits every claim before the final report assembles. Not just search plus summarize. There’s actual conflict resolution baked into the pipeline.
Numbers: BrowseComp 90.3, DeepSearchQA 94.4, HLE-text 60.8. SOTA across open and closed source right now.
The part worth sitting with: their 4B mini model beats every 30B-class open model on BrowseComp and DeepSearchQA. Smaller, cheaper, better at research. The scaling story is quietly shifting.
Underneath all of it is AgentOS, a task-agnostic runtime handling scheduling, routing, checkpoints, and cost accounting. Workflow logic sits in plugins above it, so adding a new app is just a folder of code.
Open weights too. Worth a look if you’re building research pipelines or thinking about how agent orchestration should actually be structured.
Apodex (@Apodex_AI): Dive in 👇 📝 Blog: https://t.co/EsoHMhVkTJ 📄 Tech report: https://t.co/RSqhTB7dXo 💻 Github: https://t.co/IbXL6BE1IP 🤗 Hugging Face: https://t.co/3aAE5Z8Th6 💬 Discord: https://t.co/GNxDhYuwmd ⏬ API Platform：
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@Apodex_AI: Dive in Blog: https://apodex.com/blog/apodex-1.0 Tech report: http://apodex.com/pdf/20260608 Github: https://github.com…
ApodexAI releases Apodex-1.0, a deep-research model that operates as a tool-using ReAct agent. Its heavy-duty mode, Apodex-1.0-H, uses an asynchronous agent team with up to 150 sub-agents and achieves new state-of-the-art results on deep-research benchmarks including BrowseComp, DeepSearchQA, HLE, and FrontierScience, surpassing models like GPT-5.5-pro and Claude-Opus-4.8.
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