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“We have optimized the Qwen3 models for coding and agentic capabilities, and also we have strengthened the support of MCP as well. Below we provide examples to show how Qwen3 thinks and interacts with the environment. https://x.com/Alibaba_Qwen/status/1916962100817367192
“BOOOOM! Qwen 3 235B MoE (22B Active) – beats R1, Grok, O1 AND Apache 2.0 licensed! 🔥 https://x.com/reach_vb/status/1916965315910553886
“Qwen3 exhibits scalable and smooth performance improvements that are directly correlated with the computational reasoning budget allocated. This design enables users to configure task-specific budgets with greater ease, achieving a more optimal balance between cost efficiency and https://x.com/Alibaba_Qwen/status/1916962091925442698
“Introducing Qwen3! We release and open-weight Qwen3, our latest large language models, including 2 MoE models and 6 dense models, ranging from 0.6B to 235B. Our flagship model, Qwen3-235B-A22B, achieves competitive results in benchmark evaluations of coding, math, general https://x.com/Alibaba_Qwen/status/1916962087676612998
“Is Qwen3-235B the new budget-friendly coding champ in Cline? Early user feedback is rolling in — it’s promising, but not perfect. Here’s what we’re hearing from the Cline community: 🧵” / X https://x.com/cline/status/1917708041857949983
Blog | Localforge | Localforge https://localforge.dev/blog/running-qwen3-macbook-mlx
“Qwen3-235B-A22B Superior to OpenAIs o3-mini in all the benchmarks 👀 Now it’s all about API pricing and further testing” / X https://x.com/scaling01/status/1916967634786029722
“Qwen3 is now out, but how do you run it locally? Spent the day (not knowing Qwen3 was today until an hour ago) getting @huggingface ChatUI + Qwen2.5 72B running 100% locally. Faced some headaches and confusing docs, so distilled it down for you all: https://x.com/TheZachMueller/status/1916969775525191684
“The long-awaited Qwen3 is finally here! Our team has put tremendous effort into Qwen3, hoping to bring something fresh to the open LLM community. We’ve made significant progress in pretraining, large-scale reinforcement learning, and integration of reasoning modes. We believe” / X https://x.com/huybery/status/1916962562056524177
“We also evaluated the preliminary performance of Qwen3-235B-A22B on the open-source coding agent Openhands. It achieved 34.4% on Swebench-verified, achieving competitive results with fewer parameters! Thanks to @allhands_ai for providing an easy-to-use agent. Both open models and https://x.com/Alibaba_Qwen/status/1917064282552078480
“Alibaba’s Qwen just unveiled Qwen3: a family of eight open models ranging from 600M to 235B params. — Flagship version rivals OpenAI o1 & DeepSeek-R1 — Hybrid “thinking” mode in all models — Boosted coding + agent performance — Supports 119 languages https://x.com/rowancheung/status/1917095301485052142
“Qwen3 and Qwen3 MoEs are already supported in the latest mlx-lm thanks to @Prince_Canuma and @ActuallyIsaak pip install -U mlx-lm Awesome that @Alibaba_Qwen ships a model for every device: -iPhone: 0.6B, 4B -Macbook: 8B, 30B, 3B/30B MoE -M2, M3 Ultra: 22B/235B MoE” / X https://x.com/AwniHannun/status/1916862553852203349
“Qwen3 and Qwen3 MoEs are already supported in the latest mlx-lm thanks to @Prince_Canuma and @ActuallyIsaak pip install -U mlx-lm Awesome that @Alibaba_Qwen ships a model for every device: -iPhone: 0.6B, 4B -Macbook: 8B, 30B, 3B/30B MoE -M2, M3 Ultra: 22B/235B MoE” / X https://x.com/awnihannun/status/1916862553852203349
“The Qwen Chat APP is now available for both iOS and Android users! It’s free to use and designed to assist with creativity, collaboration, and endless possibilities. Just ask, and let Qwen Chat handle the rest. Scan the QR code to quickly access the Qwen Chat APP! https://x.com/Alibaba_Qwen/status/1915761990703697925
“Feel free to download the Qwen Chat Android APP by scanning this QR code! https://x.com/Alibaba_Qwen/status/1915942739855937560
“So, how Qwen3 looks like imo: Main line: finegrained MoE, DeepSeek-like (V2 and V3-Lite scaled), GQA, trained with global-batch load balance, 25T tokens, 256K context, some improved GRPO (DAPO?), unified chat/reasoner, flagship is Sonnet 3.7 tier Dense models largely as before https://x.com/teortaxesTex/status/1916779853111509498
“Qwen3 is a win for open weights & efficiency – hybrid reasoning models that approach DeepSeek R1’s GPQA score with 1/3 the total parameters and a range of smaller models suited for compute limited environments Today, Alibaba announced eight hybrid reasoning models of varying https://x.com/ArtificialAnlys/status/1917246369510879280
“The Qwen team really cooked with this release Just incredible work all around: – 235B MoE that is comparable to o1, o3-mini, Gemini 2.5 Pro, etc. – trained on 36T tokens, covering 119 languages! Data extracted from PDFs, synthetic data, etc. – Thinking and non-thinking modes – https://x.com/iScienceLuvr/status/1916966249588002867
“QWEN-3 is finally out! > Matches Gemini 2.5 Pro performance > Outperforms OpenAI o1 > Open-sourced (Apache 2.0) > 119 languages, 32K–128K context https://x.com/LiorOnAI/status/1916998817725223240
“Pretty fucking incredible week so far: > Qwen3 – MoE (235B, 30B) + Dense (32, 14, 8, 4, 0.6B) > Xiaomi – MiMo 7B dense > Kyutai – Helium 2B dense > DeepSeek – Prover V2 671B MoE > Qwen2.5 Omni 3B > Microsoft – Phi4 14B Reasoning, Mini (3.8B) & Plus > JetBrains- Mellum 4B Dense” / X https://x.com/reach_vb/status/1917938596465750476
“> Qwen3 drops > 235B total / 22B active > neck to neck with LLaMA-4-Maverick zucc in absolute shambles https://x.com/ns123abc/status/1916971024509280503
“Dynamic Qwen3 GGUFs are here! – Run them in llama.cpp, lmstudio and ollama nowww! 💥 https://x.com/reach_vb/status/1916982114462900726
“Qwen’s distillation teacher MoE has fewer total parameters (235B) than Meta’s Llama 4 Behemoth has active (288B). As a result its still much smaller distills dunk on Scout viciously. Should have trained that behemoth ass to a fit condition first, huh https://x.com/teortaxesTex/status/1916971319800823932
Qwen 3: 0.6B to 235B MoE full+base models that beat R1 and o1 | AINews https://news.smol.ai/issues/25-04-28-qwen-3
“Qwen 3 235B now on @togethercompute API! Qwen 3 is a reasoning model that has a non-reasoning instruct mode with allowance for setting a thinking budget. It’s efficient ($0.20/M input & $0.60/M output on our throughput optimized endpoint) and fantastic on a variety of” / X https://x.com/vipulved/status/1917777842466889873
Qwen 3: The new open standard – by Nathan Lambert https://www.interconnects.ai/p/qwen-3-the-new-open-standard
“Qwen-3-MoE vs DeepSeek V2 (original) their designs are superficially similar – but different This will be a very interesting test of a few scaling laws https://x.com/teortaxesTex/status/1916824004901359943
Qwen3: Think Deeper, Act Faster | Qwen https://qwenlm.github.io/blog/qwen3/
“🎉 Congrats @Alibaba_Qwen on releasing the new Qwen 3 family! – Qwen-3 from 0.6B to 235B all open under Apache 2.0 – Qwen3-235B-A22B competitive against the best proprietary models across hard benchmarks Challenge them with your toughest prompts in the Arena! https://x.com/lmarena_ai/status/1917245472521289815
“first impression is that Qwen 30B-3A will be the star of the show” / X https://x.com/teortaxesTex/status/1916918829050998981
“So Qwen 3-235B with thinking seems good, but not blowing away any of my weird frontier tests, some of which DeepSeek r1 did better. It did okay generating a p5js starship (though it had errors to correct), but failed the Lem Test and couldn’t do a twigl shader in many attempts. https://x.com/emollick/status/1917022882888142926
“⬆️ pip install -U vLLM vllm serve Qwen/Qwen3-235B-A22B-FP8 –enable-reasoning –reasoning-parser deepseek_r1 –tensor-parallel-size 4 vLLM introduce Day 0 support for @Alibaba_Qwen Qwen3 and Qwen3 MoE model architecture. Try it out: https://x.com/vllm_project/status/1917008899410215275
“You can now run inference directly on the Qwen 3 235B Hugging Face model page – powered by Together AI! https://x.com/togethercompute/status/1917616701249565120
“Qwen3 models have a cool feature: toggle thinking mode on and off. It’s a chat template option, so presumably works by including / excluding the `<think>` tokens. (IBMs Granite 3.3 models had a similar feature). Here’s how to use it with mlx-lm: https://x.com/awnihannun/status/1916932256578605246
“Nice UI for managing the thinking/non-thinking modes of Qwen3 https://x.com/fdaudens/status/1916981928009285858
“Qwen3 is out https://x.com/fdaudens/status/1916970577425846446
“🎉 Qwen3 235B is now on HuggingChat! https://x.com/fdaudens/status/1917317723547218352
“Qwen3 is out! SkyPilot is excited to be a close friend with the @Alibaba_Qwen team. Let’s spin up Qwen3 easily on your clusters or clouds with one SkyPilot command! https://x.com/skypilot_org/status/1916987145195295095
“Qwen3-30B-A3B is de facto on par with Qwen3-32B dense and the greatest vindication of finegrained MoEs the world has seen in the open. https://x.com/teortaxesTex/status/1916966009170251899
“Qwen3 models are supporting 119 languages and dialects. This extensive multilingual capability opens up new possibilities for international applications, enabling users worldwide to benefit from the power of these models. https://x.com/Alibaba_Qwen/status/1916962096346202468
