The new model family from Apodex includes a frontier-level AI for deep search, a mini version for local deployment, and an open-source research workbench called FrontierAgent. The series coordinates multiple agents in parallel through an asynchronous team structure, allowing for the integration of findings from various agents while permitting users to redirect the work in real time.

The models target scientific research, financial analysis, and deep search. SGLang has released deployment recipes for the mini variant, including an FP8 version with a 262,144 token context length and the use of radix cache to optimize asynchronous workflows.

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Key sources

  1. SOURCE@apodex_ai“Apodex 1.1 brings frontier-level agentic performance across complex professional work, scientific research, financial analysis, and deep search.”x.com
  2. SUPPORT@sgl_project“SGLang features like radix cache will make it fast and efficient under asynchronous agent team workflows”x.com
  3. SUPPORT@sgl_project“--context-length 262144”x.com
  4. SUPPORT@sgl_project“--model-path apodex/Apodex-1.1-mini-FP8”x.com
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