IQuest Research published the IQuest‑Q1 technical report on 23 Oct 2026. The model is open‑source, optimized for command‑line tasks, and has 320 billion parameters total, with 15 billion active per token. Training covered about 29 trillion tokens and claimed 52 % of the compute needed by a comparable MoE baseline. The report lists scores on 30 benchmarks, including 52.7 on AutomationBench and 78.4 on MCP‑Atlas.
Why it matters
Developers can now download a large, agentic CLI model that promises lower compute costs for comparable performance.
