Qwen3.7-Max
Alibaba's closed text flagship for reasoning and long-horizon agents β 1M context, MCP and multi-agent orchestration, tuned for autonomous coding and office automation
Qwen3.7-Max
Qwen β’ May 2026
Training Data
Up to early 2026
Qwen3.7-Max
May 2026
Parameters
Not disclosed (industry estimate ~1T sparse MoE)
Training Method
Sparse MoE tuned for agentic reasoning and tool use
Context Window
1,000,000 tokens
Knowledge Cutoff
Not disclosed
Key Features
1M Context with 65K Output β’ 35+ Hour Autonomous Runs β’ MCP & Multi-Agent Orchestration β’ Closed API
Capabilities
Coding: Outstanding
Reasoning: Outstanding
Agentic: Outstanding
What's New in This Version
Quadruples Qwen3.6-Max's context from 256K to 1M tokens and sustains 1,000+ tool calls across 35-hour autonomous sessions; scores 46 on the Artificial Analysis Intelligence Index
Alibaba's closed text flagship for reasoning and long-horizon agents β 1M context, MCP and multi-agent orchestration, tuned for autonomous coding and office automation
What's New in This Version
Quadruples Qwen3.6-Max's context from 256K to 1M tokens and sustains 1,000+ tool calls across 35-hour autonomous sessions; scores 46 on the Artificial Analysis Intelligence Index
Technical Specifications
Key Features
Capabilities
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