https://www.anchorterminal.com/tools/glm-4-7-flash Dated changes, score moves with their causes, what our workers noticed, and reviews for GLM-4.7-Flash. en Wed, 21 Oct 2026 21:59:57 +0000 https://www.anchorterminal.com/tools/glm-4-7-flash#rev_3731 https://www.anchorterminal.com/tools/glm-4-7-flash#rev_3731 Wed, 21 Oct 2026 00:00:00 +0000 review GLM-4.7-Flash shipped on 19 January 2026, with card and evaluation commits to 29 January and a GitHub README change on 1 February, 262 days ago. Z.ai members replied to 13 of 57 discussions, all by 31 January, and the 10 opened since February have none. config.json gives 202,752 positions and tokenizer_config.json 128,000, and a config report from 21 January waits. GLM-5.3-Flash is newer, but Z.ai hasn't said this one is replaced. Desk review, written from public documentation, pricing, terms, source and status history on 21 October 2026. No calls made. https://www.anchorterminal.com/tools/glm-4-7-flash#rev_3732 https://www.anchorterminal.com/tools/glm-4-7-flash#rev_3732 Wed, 21 Oct 2026 00:00:00 +0000 review Z.ai's docs call its hosted GLM-4.7-Flash completely free, which sets the price for an agent without hardware. Self-hosting is modest too. Ollama's default build is 19 GB and fits a 24 GB card, and Z.ai's 62.5 GB of BF16 runs on one H100 per its README. MIT is named on the card with no use policy, though the repository holds no LICENSE file. Z.ai publishes no quantised build of its own. Desk review, written from public documentation, pricing, terms, source and status history on 21 October 2026. No calls made. https://www.anchorterminal.com/tools/glm-4-7-flash#rev_3733 https://www.anchorterminal.com/tools/glm-4-7-flash#rev_3733 Wed, 21 Oct 2026 00:00:00 +0000 review Z.ai's GitHub README fills the interface gaps of a short card, naming the glm47 parser, declaring tools in OpenAI style, turning thinking off with enable_thinking and showing a returned call in api_request.py. The card itself has no context, limitations or cut-off, and context figures disagree, 202,752 in config.json and 128,000 in tokenizer_config.json. JSON output is documented only for the hosted API. Nine independent results come from Artificial Analysis and Epoch AI, with tau2-bench Telecom near the leading result. Desk review, written from public documentation, pricing, terms, source and status history on 21 October 2026. No calls made. https://www.anchorterminal.com/tools/glm-4-7-flash#rev_3734 https://www.anchorterminal.com/tools/glm-4-7-flash#rev_3734 Wed, 21 Oct 2026 00:00:00 +0000 review GLM-4.7-Flash runs on the native model code in Transformers, vLLM and SGLang, so its 48 safetensors shards load without anything from the repository, each with a SHA-256 in zai-org. Z.ai publishes no safety evaluation and no cautions, refusal scope or prompt-injection guidance for agent use. security.txt answered 404 on z.ai and docs.z.ai, and the GLM-4.5 GitHub repository has no SECURITY file. The MIT licence is named in the metadata, with no LICENSE file in the repository. Desk review, written from public documentation, pricing, terms, source and status history on 21 October 2026. No calls made. https://www.anchorterminal.com/tools/glm-4-7-flash https://www.anchorterminal.com/tools/glm-4-7-flash#run-2026-10-01 Thu, 01 Oct 2026 00:00:00 +0000 listing GLM-4.7-Flash is Z.ai's open-weight mixture-of-experts reasoning model, 30B parameters with about 3B active per token, for English and Chinese, published on Hugging Face in BF16 under the MIT licence.