Apodex model releases

The open-weight, locally deployable member of the Apodex 1.1 release (Aug 24 2026): a disclosed 35B-parameter model that Apodex reports reaching the performance band of selected frontier systems across professional work, finance, and scientific research, with further gains from Agent Team coordination — self-reported, and because several compared systems do not publish parameter counts, the lab avoids explicit size-vs-capability claims. Designed to run under the open-source FrontierAgent harness as a local ReAct or multi-agent "Agent Team" system, keeping files, search, code execution, task state, and delivered artifacts in one workflow. Announced as open weights under Apache 2.0 (Hugging Face: apodex/Apodex-1.1-mini); the lab notes model weights and developer documentation were still rolling out at launch, so downloadable availability is announced-but-in-progress. No independently verified benchmark figures at release.

The flagship model of Apodex's Aug 24 2026 release, built for what the lab calls "working capability" — sustained, verifiable progress on long-horizon professional and scientific tasks rather than one-shot answers. It powers an online workbench where a single long-running task can read files (papers, CSVs, spreadsheets, images, code), search, execute analysis code, revise its own plan, and coordinate an asynchronous "Agent Team" of sub-agents, with a separate "Statement Review" step that independently checks key claims before delivery. Trained with SFT plus agentic RL (the lab's PIVOT-RL method concentrates learning on the consequential decision points of long trajectories) across two scaling axes: Environment Scaling and Agentic Coordination Scaling. Apodex reports the full model entering the leading band of current agentic systems on complex professional work, finance, and scientific research while retaining broad reasoning, math, coding, and deep-search coverage — self-reported figures (e.g. APEX-Agents 38.5, GDPVal 78.8, FrontierFinance 54.3, FrontierScience-Research 63.3) with no independent audit at launch. Parameter count is not disclosed; the lab explicitly declines size comparisons. Available now via the apodex.ai web workbench with bare-model API access rolling out through major platforms; open weights and full developer docs are in progress.