Alibaba launches Qwen3.6-27B, an open-weight dense model with 27B parameters, saying it surpasses Qwen3.5-397B-A17B on major coding benchmarks
· 4226 words · QwenTeam丨Translations:.体中文 — HUGGING FACE — MODELSCOPE — DISCORD
Qwen
Related Coverage
- Qwen3.6-27B: Flagship-Level Coding in a 27B Dense Model (via) Big claims from Qwen about their latest open weight model: … Simon Willison's Weblog · Simon Willison
- Alibaba Qwen Team Releases Qwen3.6-27B: A Dense Open-Weight Model Outperforming 397B MoE on Agentic Coding Benchmarks MarkTechPost · Asif Razzaq
- Qwen3.6-27B: Flagship-Level Coding in a 27B Dense Model Hacker News
Discussion
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@suchenzang
Susan Zhang
on x
“china is becoming more closed-source” - cope
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@onlyterp
Terp
on x
ok.... So this just happened Qwen 3.6 27b running locally on my 5090 straight up beating mimo v2.5 pro 😭 [image]
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@ollama
@ollama
on x
Qwen 3.6 27B model is available on Ollama! Use it with all the integrations in Ollama or chat with the model. Chat with the model: ollama run qwen3.6:27b OpenClaw: ollama launch openclaw —model qwen3.6:27b Claude Code: ollama launch claude —model qwen3.6:27b More
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@sudoingx
@sudoingx
on x
okay this is absolutely insane. my undisputed king qwen 3.5-27b dense on single RTX 3090 just got replaced by the same team today. qwen drops 3.6-27b dense just now and the chart says it beats its predecessor on every single benchmark, beats qwen 3.5-397b-a17b moe which is 15x [i…
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@alibaba_qwen
@alibaba_qwen
on x
🚀 Meet Qwen3.6-27B, our latest dense, open-source model, packing flagship-level coding power! Yes, 27B, and Qwen3.6-27B punches way above its weight. 👇 What's new: 🧠 Outstanding agentic coding — surpasses Qwen3.5-397B-A17B across all major coding benchmarks 💡 Strong [image]
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@cgtwts
@cgtwts
on x
Qwen just dropped Qwen3.6-27B >open source >a dense 27b model >beats their own 397B flagship on coding >14x smaller and easier to run >strong at agentic coding >handles both text and images >has fast mode and deep thinking mode >much cheaper to run locally [video]
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@kylehessling1
Kyle Hessling
on x
Guys, I am absolutely astounded. The Qwen 3.6 27b is like a jump to Qwen 4 from Qwen 27B 3.5. I just did a full suite of front end design tests and agentic benchmarks, made entirely by it. VERDICT: They're so much better than I thought they'd be, like I'm completely astounded. I
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@alibaba_qwen
@alibaba_qwen
on x
LM Performance：With only 27B parameters, Qwen3.6-27B outperforms the Qwen3.5-397B-A17B (397B total / 17B active, ~15x larger!) on every major coding benchmark — including SWE-bench Verified (77.2 vs. 76.2), SWE-bench Pro (53.5 vs. 50.9), Terminal-Bench 2.0 (59.3 vs. 52.5), and [i…
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@alibabagroup
@alibabagroup
on x
🚀 Qwen3.6-27B is now open source! Start building with this dense 27B multimodal model delivering flagship-level agentic coding performance. #AlibabaAI #Qwen
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@hxiao
Han Xiao
on x
With 3.6-27b release, the dense-over-MoE gap is shrinking, which is good for local AI as MoE like 35b-a3b are more friendly on low-budget GPU and support much longer context (256k full easily on 24gb vram). Same-scale comparison (27B dense vs 35B-A3B MoE): dense still wins most […
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@alibaba_qwen
@alibaba_qwen
on x
VLM Performance：Qwen3.6-27B is natively multimodal, supporting both vision-language thinking and non-thinking modes in a single unified checkpoint — the same as Qwen3.6-35B-A3B. It handles images and video alongside text, enabling multimodal reasoning, document understanding, [im…
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@sudoingx
@sudoingx
on x
this was supposed to be a normal evening, then i saw on the timeline that qwen 3.6 27b dense q4 weights from unsloth are live and i could not sit still. compiled llama.cpp with cuda on the single rtx 3090 at 2am from bangkok, launched with the exact same flags that crowned [image…
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r/LocalLLaMA
r
on reddit
Qwen3.6-27B released!