Qwen 3.5 397B

ReasoningVisionCodeFunction CallingWeb Searchanonymized
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Quick reference
Qwen 3.5 397B — TLDR
  • 🧩 397B MoE, only 17B active per token
  • 🧠 Flagship reasoning, coding, and general knowledge
  • 📏 128K-token context window
  • 👁️ Vision, function calling, and web search
  • 📜 Open-weight under Apache 2.0
  • 🎯 Alibaba's Qwen 3.5 generation flagship
💰 Pricing
$0.750 / $4.50
per 1M · input / output
📏 Context
128K tokens
📅 On Venice since
Feb 16, 2026
153 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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51 models on Venice
20 video · 18 text · 5 image · 4 inpaint · 2 embedding · 2 tts
Since Jan 11, 2025

About this model

Qwen 3.5 397B is Alibaba's flagship reasoning model from the Qwen 3.5 generation, built on a Mixture-of-Experts architecture that totals 397 billion parameters while activating just 17 billion per token. Released in February 2026, it pairs strong chain-of-thought reasoning with broad capability coverage: coding, general knowledge, vision input, native function calling, and web search all sit within a 128,000-token context window. The sparse MoE design is the key trade-off here — it delivers frontier-scale reasoning quality while keeping inference cost closer to a mid-size dense model.

Within Alibaba's lineup it anchors the top of the Qwen 3.5 family, sitting above the lighter Qwen 3.5 35B A3B and Qwen 3.5 9B variants. The line has since continued with Qwen 3.6 27B (released April 2026), so this model represents the heavyweight peak of the prior generation rather than the newest small release. It ships under a permissive Apache 2.0 license, with strong adoption reflected in its Hugging Face download and like counts.

It is best suited for demanding agentic and analytical work — multi-step reasoning, complex code generation, tool-driven workflows, and long-document tasks — where its large expert pool and generous context justify reaching for a flagship over a smaller sibling.

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 4d ago