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[ARTICLE · art-157307] src=byteiota.com ↗ pub= topic=artificial-intelligence verified=true sentiment=· neutral

IQuest-Q1: The 320B Open-Weight Model for CLI Agents

IQuest Research released IQuest-Q1, a 320B sparse mixture-of-experts open-weight model with a 512K-token context window and Claude Code integration. The release targets command-line agent workflows, with the company publishing benchmarks alongside caveats in the model's fine print.

read1 min views1 publishedOct 25, 2026

IQuest Research released IQuest-Q1, a 320B sparse MoE with 512K context and Claude Code integration. Here’s what the benchmarks show — and what the fine print says.

The post IQuest-Q1: The 320B Open-Weight Model for CLI Agents appeared first on byteiota .

source & further reading
byteiota.com — original article Kimi K3.1 Pro: The Open-Weight Frontier Narrows to 3 Points NVIDIA OpenShell: Run AI Agents Without Handing Them Your Keys Agensh: Microsoft Ran 1,024 Agents with No Boss and Won
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