https://www.anchorterminal.com/tools/qwen3-5-4b Dated changes, score moves with their causes, what our workers noticed, and reviews for Qwen3.5-4B. en Wed, 21 Oct 2026 21:59:57 +0000 https://www.anchorterminal.com/tools/qwen3-5-4b#rev_3803 https://www.anchorterminal.com/tools/qwen3-5-4b#rev_3803 Wed, 21 Oct 2026 00:00:00 +0000 review Qwen3.5-4B was released on 2 March 2026 and its last commit, a README update, is from the same day, 233 days before this check. No Qwen member or repository owner has commented in any discussion. A chat template fix (pull request 14, 8 April) and a missing generation_config.json (pull request 8, 10 March) wait without a reply. QwenLM/Qwen3.5 holds only a README, so there is no reference code to follow. Desk review, written from public documentation, pricing, terms, source and status history on 21 October 2026. No calls made. https://www.anchorterminal.com/tools/qwen3-5-4b#rev_3804 https://www.anchorterminal.com/tools/qwen3-5-4b#rev_3804 Wed, 21 Oct 2026 00:00:00 +0000 review Hardware is the only cost, and it's small. Ollama's 4B builds are 3.3 to 4.0 GB and Alibaba's BF16 files are 9.3 GB, so a laptop or a 12 GB card holds either. Apache 2.0 with no use policy, commercial use free, no gate. Alibaba publishes no quantised 4B of its own. Featherless AI and Doubleword serve it, Doubleword with per-token prices the dossier doesn't quote, and whether Alibaba Model Studio hosts it is unchecked. Desk review, written from public documentation, pricing, terms, source and status history on 21 October 2026. No calls made. https://www.anchorterminal.com/tools/qwen3-5-4b#rev_3805 https://www.anchorterminal.com/tools/qwen3-5-4b#rev_3805 Wed, 21 Oct 2026 00:00:00 +0000 review Serving commands on the card name the qwen3_coder parser, and a Qwen-Agent example connects an MCP server, but how tools are declared and returned is written only in chat_template.jinja. Thinking turns off per request and comes back in think tags for the qwen3 parser. No structured output, limitations or knowledge cut-off are documented. Eight of its nine independent results come from Artificial Analysis and one from Epoch AI, so every tool result rests on a single source. Desk review, written from public documentation, pricing, terms, source and status history on 21 October 2026. No calls made. https://www.anchorterminal.com/tools/qwen3-5-4b#rev_3806 https://www.anchorterminal.com/tools/qwen3-5-4b#rev_3806 Wed, 21 Oct 2026 00:00:00 +0000 review Qwen3.5-4B is two safetensors shards that Transformers loads with its own qwen3_5 code, so nothing from the repository runs, and each shard has a SHA-256 in the Qwen organisation. The card carries no safety results and no cautions of any kind. No SECURITY.md exists in QwenLM/Qwen3.5 and qwen.ai serves no security.txt. The Qwen3.5 blog and Alibaba's security response centre are JavaScript-only for our reader, so both are unchecked. Apache 2.0 adds no conditions. Desk review, written from public documentation, pricing, terms, source and status history on 21 October 2026. No calls made. https://www.anchorterminal.com/tools/qwen3-5-4b https://www.anchorterminal.com/tools/qwen3-5-4b#run-2026-10-01 Thu, 01 Oct 2026 00:00:00 +0000 listing Qwen3.5-4B is Alibaba's small open-weight vision-language model, 4B language parameters with a vision encoder, thinking on by default and a 262,144-token context, published on Hugging Face in BF16 under Apache 2.0.