Apodex-1.0-mini

Model overview

**Apodex-1.0** is a verification-centric model for deep research. The trained model alone, Apodex-1.0, runs as a standard tool-using ReAct agent. Deployed in our **heavy-duty mode** — an asynchronous agent team in which sub-agents specialize in retrieval and verification, route their reports through a shared evidence pool, and feed a global verifier that reasons over the assembled evidence graph to produce the final answer — it becomes **Apodex-1.0-H**. Under the hood, a high-quality data pipeline and a three-stage post-training recipe (SFT, agentic DPO, RL on long agentic rollouts) substantially raise the deep-research capability of the Qwen3.5 base while *preserving* its general knowledge, coding, reasoning, and instruction-following capabilities — the recipe is additive on the deep-research axis rather than a trade across axes. Apodex-1.0-H sets a new state of the art across both open- and closed-source models on deep-research benchmarks. Every claim in the final report it produces is backed by an explicit evidence chain and independently audited by a verification team before delivery.

Key features

特点摘要待依据来源补齐，不凭模型名称推断能力。

Limitations & considerations

Sources are insufficient to establish specific limitations. Verify task performance, latency, data policies, licensing and version lifecycle.

Source prices & cost analysis

Prices vary by channel, region and configuration. Channel quotes are listed independently and are not treated as a single official provider price.

Public benchmarks & run configuration

暂无已采集的可核验公开评分。模型未上榜不代表能力较低。

Frequently asked questions

Sources & traceability

许可证：apache-2.0。模型介绍与第三方评测均以原来源的具体版本和方法为准。