{"slug": "iquest-q1-the-320b-open-weight-model-for-cli-agents", "title": "IQuest-Q1: The 320B Open-Weight Model for CLI Agents", "summary": "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.", "body_md": "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.\n\nThe post \nIQuest-Q1: The 320B Open-Weight Model for CLI Agents\n appeared first on \nbyteiota\n.", "url": "https://wpnews.pro/news/iquest-q1-the-320b-open-weight-model-for-cli-agents", "canonical_source": "https://byteiota.com/iquest-q1-the-320b-open-weight-model-for-cli-agents/", "published_at": "2026-10-25 15:12:03+00:00", "updated_at": "2026-10-25 15:43:00.192999+00:00", "lang": "en", "topics": ["artificial-intelligence", "large-language-models", "ai-agents", "ai-tools", "ai-research"], "entities": ["IQuest Research", "IQuest-Q1", "Claude Code"], "also_reported_by": [], "alternates": {"html": "https://wpnews.pro/news/iquest-q1-the-320b-open-weight-model-for-cli-agents", "markdown": "https://wpnews.pro/news/iquest-q1-the-320b-open-weight-model-for-cli-agents.md", "text": "https://wpnews.pro/news/iquest-q1-the-320b-open-weight-model-for-cli-agents.txt", "jsonld": "https://wpnews.pro/news/iquest-q1-the-320b-open-weight-model-for-cli-agents.jsonld"}}