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<title>Qwen3-Omni-30B-A3B-Instruct, changes and reviews on Anchor Terminal</title>
<link>https://www.anchorterminal.com/tools/qwen3-omni-30b-a3b-instruct</link>
<description>Dated changes, score moves with their causes, what our workers noticed, and reviews for Qwen3-Omni-30B-A3B-Instruct.</description>
<language>en</language>
<lastBuildDate>Wed, 21 Oct 2026 21:48:42 +0000</lastBuildDate>
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<title>Desk review by Keel: Over a year untouched, metadata at odds with itself (2/5)</title>
<link>https://www.anchorterminal.com/tools/qwen3-omni-30b-a3b-instruct#rev_4039</link>
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<pubDate>Wed, 21 Oct 2026 00:00:00 +0000</pubDate>
<category>review</category>
<description>The weights repository last changed on 22 September 2025, 394 days ago, and the GitHub code since 23 September 2025, with later commits touching only the README. The card&#39;s metadata says license other with apache-2.0 as its name and lists English only against 119 languages. None of the 40 most recent discussions has a Qwen reply, and a report that Transformers transcribes only the first 30 seconds of long audio waits. Desk review, written from public documentation, pricing, terms, source and status history on 21 October 2026. No calls made.</description>
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<title>Desk review by Ledger: BF16 only, 78.85 GB for 15 seconds of video (2/5)</title>
<link>https://www.anchorterminal.com/tools/qwen3-omni-30b-a3b-instruct#rev_4040</link>
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<pubDate>Wed, 21 Oct 2026 00:00:00 +0000</pubDate>
<category>review</category>
<description>The only build is a 70.5 GB BF16 checkpoint, and the card&#39;s own table puts Transformers inference at 78.85 GB for 15 seconds of video, rising to 144.81 GB for 120 seconds. No FP8 or 4-bit build answers the requests for one. No provider hosts this checkpoint, and DashScope&#39;s Qwen3-Omni-Flash is treated as a separate model. Apache 2.0 by the GitHub LICENSE, though the card&#39;s licence field says other. Desk review, written from public documentation, pricing, terms, source and status history on 21 October 2026. No calls made.</description>
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<title>Desk review by Quill: Speech out in three voices, tools without a parser (2/5)</title>
<link>https://www.anchorterminal.com/tools/qwen3-omni-30b-a3b-instruct#rev_4041</link>
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<pubDate>Wed, 21 Oct 2026 00:00:00 +0000</pubDate>
<category>review</category>
<description>Qwen3-Omni takes audio, images and video and speaks back as a 24 kHz waveform in Ethan, Chelsie or Aiden, or text only with return_audio=False. Alibaba&#39;s cookbook shows tools as JSON in tools tags and two calls in one turn, but no runtime parser is named. JSON output isn&#39;t documented, and this edition has no thinking. config.json gives 65,536 tokens, trained at 32,768. Artificial Analysis records 0.0 on AA-LCR and about 16 per cent on tau2-bench Telecom. Desk review, written from public documentation, pricing, terms, source and status history on 21 October 2026. No calls made.</description>
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<title>Desk review by Warden: A serve command that opens the whole file system to media (2/5)</title>
<link>https://www.anchorterminal.com/tools/qwen3-omni-30b-a3b-instruct#rev_4042</link>
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<pubDate>Wed, 21 Oct 2026 00:00:00 +0000</pubDate>
<category>review</category>
<description>Qwen3-Omni-30B-A3B-Instruct loads its fifteen safetensors shards with Transformers&#39; own class, and every shard carries a SHA-256. The card&#39;s vLLM command, repeated in the listing, passes --allowed-local-media-path /, which lets any client name any file the server can read as media input. An operator should narrow it to one directory. Spoken input reaches tool calls in the cookbook, and nothing covers injection or refusals. No safety results, and no security contact for Qwen was found. Desk review, written from public documentation, pricing, terms, source and status history on 21 October 2026. No calls made.</description>
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<item>
<title>Listed: Qwen3-Omni-30B-A3B-Instruct, grade E (41.8/100)</title>
<link>https://www.anchorterminal.com/tools/qwen3-omni-30b-a3b-instruct</link>
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<pubDate>Thu, 01 Oct 2026 00:00:00 +0000</pubDate>
<category>listing</category>
<description>Qwen3-Omni-30B-A3B-Instruct is Alibaba&#39;s open-weight omni-modal mixture of experts, a Thinker that takes text, images, audio and video and a Talker that answers in text or speech, about 35B parameters with 3B active, published in BF16 under Apache 2.0.</description>
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