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According to official communications from Qwen Team and the Alibaba Cloud community, Qwen3.7-Max debuted alongside the 2026 Alibaba Cloud Summit (May 20, 2026) and is framed as Alibaba’s latest flagship model purpose-built for the agent era—moving from chat-only workloads to durable, tool-using execution loops.
Everything below summarizes that official storyline; defer to fresh posts on qwen.ai and Alibaba Cloud.
Across coding agents, automation of office workflows, and infrastructure for plugging into real systems, the release narrative stresses:
Those themes map cleanly onto AskTable scenarios: analytics copilots, Text-to-SQL, and retrieval-style agents that stitch together querying, narration, and follow-up tooling.
The Qwen / Alibaba Cloud write-up cites a demo where the model ran for roughly 35 hours of continuous autonomous operation, issued on the order of ~1,158 tool calls, and—through autonomous coding—showcased kernel-level optimisations for inference stacks. Treat the exact figures and lab setup as stated in the source article, not as AskTable benchmarks.
The English announcement states that access is “available soon” and that APIs are coming soon via Alibaba Cloud Model Studio. Public copy should not claim wholesale same-day API availability everywhere. Final model SKUs, quotas, pricing, and SLAs belong to Alibaba Cloud Model Studio and whatever AskTable surfaces in its console.
AskTable has completed Qwen 3.7 integration and configuration support. Enable the appropriate Qwen 3.7 entry under Model / model group settings. Visible model names, tenant-level availability, and parity with Model Studio rollout all follow what you see in the AskTable console plus Alibaba Cloud Model Studio.
We still recommend a tight gold-question regression set on your production schemas before wide rollout—the same playbook we published for Qwen 3.6-Plus.
Switching models never moves your warehouse: connections, tenancy, and governance stay put.
Frontier models revolve every few weeks. AskTable stays engine-agnostic on purpose so you can adopt new Chinese flagship releases without throwing away semantic assets or policy guardrails.
References (authoritative: Qwen Team / Alibaba Cloud):
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