IQuest · Open Agentic Coding MoE

IQuest-Q1

An open-weights mixture-of-experts model from IQuest for agentic coding, reasoning and multi-step tool use, released 28 September: 320B total and about 15B active parameters, 88 layers, 256 experts with 8 active, mixed sliding-window and full attention, and a 524,288-token context. Text-only. Multi-token prediction runs recursively at inference for speculative decoding. Served through SGLang or a forked vLLM on 8-GPU nodes and evaluated with Claude Code and mini-SWE-agent on DeepSWE, Terminal-Bench 2.1, CyberGym and an in-house CLI benchmark, with scores only shown in a chart. The licence is a modified MIT that requires commercial products to display "IQuest-Q1". The team calls it early-stage. Follows IQuest Coder (week 1).