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Qwen 3.6 9B and 122B Versions Predicted

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๐Ÿฆ™Read original on Reddit r/LocalLLaMA

๐Ÿ’กPredicts Qwen 3.6 9B/122B releases โ€“ prep hardware for new sizes now

โšก 30-Second TL;DR

What Changed

Qwen3.6-35B-A3B released 22 days ago

Why It Matters

Expands Qwen series accessibility with smaller 9B for edge devices and massive 122B for high-end setups, influencing local LLM deployment strategies.

What To Do Next

Check Qwen's Hugging Face repo daily for 9B or 122B model drops.

Who should care:Developers & AI Engineers

Key Points

  • โ€ขQwen3.6-35B-A3B released 22 days ago
  • โ€ขQwen3.6-27B released 15 days ago
  • โ€ขPredictions for 9B and 122B versions upcoming
  • โ€ขPosted by /u/jacek2023 on r/LocalLLaMA

๐Ÿง  Deep Insight

Web-grounded analysis with 6 cited sources.

๐Ÿ”‘ Enhanced Key Takeaways

  • โ€ขThe Qwen3.6 series introduces a hybrid architecture that combines Gated DeltaNet (linear attention) with standard Gated Attention and sparse Mixture-of-Experts (MoE) to optimize inference efficiency and context handling.
  • โ€ขCommunity speculation regarding 9B and 122B models is driven by the established release cadence of the Qwen3.6 series, which has prioritized agentic coding capabilities and multimodal reasoning.
  • โ€ขThe Qwen3.6-35B-A3B model, released on April 14, 2026, features a 'preserve_thinking' capability that retains reasoning context across multi-turn conversations, specifically designed to improve performance in agentic workflows.
๐Ÿ“Š Competitor Analysisโ–ธ Show
FeatureQwen3.6-27B (Dense)Gemma 4 26B A4B (MoE)Claude 4.5 Opus
ArchitectureDenseSparse MoEProprietary
Context Window262K (extensible to 1M)N/A1M+
Primary FocusAgentic CodingLocal EfficiencyFrontier Reasoning
LicenseApache 2.0Open WeightsClosed

๐Ÿ› ๏ธ Technical Deep Dive

  • โ€ขArchitecture: Hybrid design utilizing 64 layers with a repeating block structure (16 blocks).
  • โ€ขAttention Mechanism: 75% of attention budget uses Gated DeltaNet (linear attention, O(n) complexity), while 25% uses standard Gated Attention to maintain long-range precision.
  • โ€ขMoE Configuration (35B-A3B): 256 total experts, with 8 routed and 1 shared expert active per token.
  • โ€ขContext Handling: Native 262,144-token window, extensible to 1M tokens via YaRN (Yet another RoPE for Transformers) scaling.
  • โ€ขReasoning: Integrated 'thinking mode' that preserves reasoning traces across multi-turn conversations, compatible with structured output and function calling.

๐Ÿ”ฎ Future ImplicationsAI analysis grounded in cited sources

Qwen3.6 series will likely expand to include a 122B parameter model.
The community expectation for a 122B variant aligns with the established 'medium-sized' model roadmap previously hinted at by the Qwen team.
Future Qwen releases will increasingly prioritize agentic coding benchmarks.
The architectural shift toward Gated DeltaNet and the introduction of 'thinking preservation' indicate a strategic focus on repository-level reasoning and autonomous task execution.

โณ Timeline

2026-02-16
Qwen3.5 series released, featuring a 397B-A17B MoE model.
2026-04-01
Qwen3.6-Plus (proprietary) launched via Alibaba Cloud Model Studio.
2026-04-14
Qwen3.6-35B-A3B (open-weight) released.
2026-04-22
Qwen3.6-27B (dense, open-weight) released.

๐Ÿ“Ž Sources (6)

Factual claims are grounded in the sources below. Forward-looking analysis is AI-generated interpretation.

  1. Google Search Source
  2. Google Search Source
  3. Google Search Source
  4. Google Search Source
  5. Google Search Source
  6. Google Search Source
๐Ÿ“ฐ

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Original source: Reddit r/LocalLLaMA โ†—