AlibabaAlibaba·💬 Text Generation·New

Qwen 3.7 Max

ReasoningCodeFunction CallingWeb Searchanonymized
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Quick reference
Qwen 3.7 Max — TLDR
  • 🎯 Largest model in Alibaba's Qwen 3.7 series
  • 📏 Massive 1M-token context window
  • 🧠 Deep reasoning with thinking mode
  • 🔧 Function calling plus prompt caching
  • 💬 Text-only; tuned for code and productivity
  • 🌍 Built for long-running autonomous agent workflows
💰 Pricing
$2.70 / $8.05
per 1M · input / output
📏 Context
1M tokens
📅 On Venice since
May 22, 2026
13 days ago
Provider

Alibaba Group is a Chinese multinational technology company founded in 1999 and headquartered in Hangzhou, Zhejiang. Originally built around e-commerce and cloud computing, Alibaba has become one of the most prolific contributors to open-weight AI research,…

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46 models on Venice
17 text · 16 video · 5 image · 4 inpaint · 2 embedding · 2 tts
Since Jan 11, 2025

About this model

Qwen 3.7 Max headlines Alibaba's Qwen 3.7 series as its largest and most capable text model, pairing a deep "thinking" reasoning mode with function calling and prompt caching. Released in May 2026, it offers an expansive one-million-token context window that suits codebase-scale analysis, lengthy documents, and multi-step agent sessions that need to retain state across long horizons.

Within Alibaba's broad lineup, this is a text-only flagship rather than a lightweight or multimodal entry. It sits alongside smaller open-weight Qwen text models such as Qwen 3.6 27B and Qwen 3.5 397B, the vision-capable Qwen3 VL 235B, and code-specialist releases like Qwen 3 Coder 480B Turbo. As the newest member of the Max line, it represents the current top tier of that branch.

With strengths in programming, office and productivity work, web-aware reasoning, and autonomous agent orchestration, Qwen 3.7 Max is best suited to developers and teams building tool-using agents or processing very large contexts where deep reasoning matters more than multimodal input.

This About section is AI-generated from public sources (Claude Opus 4.8), with no human editing. It may contain inaccuracies — verify critical details against the sources listed above.

Data sources: Venice API · HuggingFace · Wikipedia — enrichment updated 5d ago