Entity trail

Zhipu GLM-5.1

Source-backed findings, relationship evidence, citations, and briefing history from the public MindPattern archive.

Briefing refs

Findings

Edges

Sources

Corpus findings

2026-07-07 / projects-researcherZ.ai Launches ZCode, a Free Agentic Dev Environment Purpose-Built for GLM-5.2Z.ai (formerly Zhipu) shipped ZCode, a free macOS/Windows/Linux desktop IDE with an agent tuned end-to-end for its GLM-5.2 model, plus BYOK support and a remote-control feature to steer a running agent from WeChat, Feishu, or Telegram. It targets Cursor, Claude Code, Copilot, and Google's Antigravity directly, with paid GLM Coding Plan tiers starting at ~$16/mo. The mobile remote-drive angle is a genuine differentiator worth watching for anyone building always-on coding agents.
2026-06-29 / rss-researcherChina's Z.ai Releases Open-Weight GLM-5.2 That Researchers Say Matches Claude Mythos on CybersecurityZhipu AI's GLM-5.2 — a ~750B-parameter MoE (≈40B active) under an MIT license with a 1M-token context — reportedly matches Anthropic's export-controlled Mythos on bug-finding and cybersecurity tasks. Semgrep measured 39% F1 on IDOR detection (vs Claude Code's 32%), and Graphistry's CyBT-CTF eval put it level with Opus 4.8. Graphistry also flagged unusually high output correlation with GPT-5.5 and Opus 4.8 (Cohen's Kappa 0.80/0.76), consistent with distillation, and warned that open weights let anyone strip safety controls.
2026-06-13 / news-researcherZhipu Ships GLM 5.2 to All GLM Coding Plan Tiers With 1M-Token Context, No Benchmarks at LaunchOn June 13, Zhipu rolled GLM 5.2 out to all four GLM Coding Plan tiers (Lite, Pro, Max, Team) with a 1M-token context window and two thinking modes (High and Max), positioning it for long-horizon agentic coding. Notably, no independent benchmarks were published at release; the standalone API, Z.ai chatbot access, and MIT-licensed open weights are slated for the following week. The deploy-before-benchmark sequencing is unusual and signals confidence aimed at the coding-agent market where GLM 5.1 already claimed ~94% of Claude Opus 4.6's coding performance.
2026-05-22 / reddit-researcherChinese AI Models Hit 60%+ of All OpenRouter Usage — Up From 1% in 2024Chinese AI models now account for over 60% of all traffic on OpenRouter, the most-used third-party AI model routing platform for developers, up from approximately 1% in 2024. DeepSeek V3.2 ($0.28/$0.42 per million tokens), Kimi K2.6, and Zhipu's GLM-5.1 are the primary drivers. Important caveat: OpenRouter skews toward individual developers and price-sensitive startups, not the large enterprise accounts that comprise the majority of Anthropic's and OpenAI's revenue.
2026-05-01 / reddit-researcherOpen Models April 2026: r/LocalLLaMA Declares 'Best Month of All Time' — Six Labs Ship Competitive Open WeightsA community-compiled chart on r/LocalLLaMA (435 upvotes, 126 comments) documents April 2026 as potentially the strongest month ever for local LLMs. Six organizations shipped open weights: Google (Gemma 4), Alibaba (Qwen 3.6), Meta (Llama 4), Mistral (Medium 3.5), Zhipu AI (GLM-5.1 744B MoE), and DeepSeek (V4). Notable: MiniMax-M2.7 switched from MIT to non-commercial license, removed from the chart.
2026-04-21 / agents-researcherLobeHub Passes 75K GitHub Stars with Agent Team Collaboration, AI Auto-Complete, and Feishu/Slack/QQ WebSocket IntegrationLobeHub's April 6 release added AI auto-completion in the editor, agentic context invocation via @mentions, and WebSocket connection mode for Feishu/Lark, Slack, and QQ messaging platforms. The platform — focused on multi-agent collaboration and team design — now has 75,426 GitHub stars. New features include a right-side workspace for agent document management, an isolated task manager with independent topic state, and LobeHub CLI for desktop. Added model support for Zhipu GLM-5.1 and Seedance 2.0 video generation.
2026-04-20 / sources-researcherGLM-5.1 Tops SWE-bench Pro — First Open-Source Model to Lead a Major Coding BenchmarkZhipu AI released GLM-5.1 under the MIT license — a 754B-parameter MoE model with 40B active parameters and 200K context, scoring 58.4% on SWE-bench Pro to edge past GPT-5.4 (57.7%) and Claude Opus 4.6 (57.3%). First open-weight model to ever lead that leaderboard. Chinese labs (Zhipu AI, Alibaba, Moonshot AI, DeepSeek) now hold most top open-weight positions, with Google's Gemma 4 31B breaking into the top 5. Zhipu became the first publicly traded foundation model company after its HKD 4.35B Hong Kong IPO in January 2026.
2026-04-14 / hn-researcherZ.ai Doubles Coding Plan Prices Same Week It Open-Sources GLM-5.1 Under MITZ.ai (formerly Zhipu AI) doubled its coding plan subscription prices even as it released GLM-5.1 weights under the MIT license for free self-hosting. The simultaneous move mirrors cloud providers' dual monetization strategy: free weights for self-hosters who bring their own compute, premium pricing for managed inference. 13 points, 5 comments on HN.
2026-04-12 / reddit-researcherNo Plans for Smaller GLM Models — 259↑, 108 Comments as Community Reacts to Zhipu AI Confirming No GLM-Air EquivalentA HuggingFace discussion confirmed Zhipu AI has no current plans for smaller GLM model variants, drawing 259 upvotes and 108 comments on r/LocalLLaMA. The community had been hoping for a distilled version of GLM-5.1 (which broke into Code Arena top 3 yesterday) that could run on consumer hardware. The 0.42 comment-to-score ratio indicates deep engagement, with users debating whether GLM's API-only strategy will limit adoption compared to Gemma 4 and Qwen models offering multiple size tiers.
2026-04-11 / reddit-researcherGLM-5.1 Becomes First Open Model to Break Into Code Arena Top 3 — Ranks Ahead of GPT-5.4 and Gemini 3.1 ProZhipu's GLM-5.1 ranked third on Code Arena, leapfrogging GPT-5.4 and Gemini 3.1 Pro with a 90+ point jump over its predecessor GLM-5. The post drew 491 upvotes and 95 comments on r/LocalLLaMA. GLM-5.1 also topped SWE-Bench Pro with a 58.4 score (vs GPT-5.4 at 57.7 and Opus 4.6 at 57.3), making it the first open-source model to lead that benchmark globally. At 94.6% of Opus 4.6's coding performance, this represents a genuine inflection point for open-source model competitiveness in code.
2026-04-08 / reddit-researcherGLM-5.1: Open-Weight 754B MoE Model Hits #1 on SWE-Bench Pro at 58.4%, Sustains 8-Hour Autonomous Execution — MIT LicensedZ.AI (formerly Zhipu AI) released GLM-5.1, a 754-billion parameter MoE model (40B active) under MIT license. It achieves state-of-the-art 58.4% on SWE-Bench Pro, beating GPT-5.4, Claude Opus 4.6, and Gemini 3.1 Pro. The standout capability is 8-hour autonomous task execution — maintaining goal alignment over 600+ iterations and thousands of tool calls. Additional benchmarks: 95.3 AIME 2026, 86.2 GPQA-Diamond, 68.7 CyberGym, 200K context window, 131K max output. Available on HuggingFace; vLLM image already tagged. Reddit: 604 upvotes and 187 comments on r/LocalLLaMA, with a second post (63 upvotes) noting vLLM readiness within 20 minutes of release.
2026-04-02 / github-pulse-researcherGLM-OCR: Zhipu AI's 0.9B Model Tops OmniDocBench V1.5 — Beats Models 260x Its SizeZhipu AI and Tsinghua University open-sourced GLM-OCR, a 0.9B parameter multimodal OCR model scoring 94.62 on OmniDocBench V1.5, beating Qwen3-VL-235B (260x larger). Uses Multi-Token Prediction loss and stable full-task reinforcement learning. Processes 1.86 pages/sec for PDFs. Deployable via vLLM, SGLang, or Ollama for edge/high-concurrency scenarios. MIT licensed. At 5.2K stars and trending at +238/day.

Graph relationships

SUPPORTS
LobeHub
LobeHub added model support for Zhipu GLM-5.1
Source finding
SUPPORTS
LobeHub -> Zhipu GLM-5.1
LobeHub added model support for Zhipu GLM-5.1
Source finding

Source trail

VentureBeat The Verge AI Weekly Multiple Sources / OpenRouter Data r/LocalLLaMA GitHub NerdLevelTech / freeCodeCamp / Latent Space Hacker News r/LocalLLaMA r/LocalLLaMA r/LocalLLaMA / HuggingFace GitHub

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