{"slug":"glm-5-2","name":"GLM-5.2","domain":"z.ai","verdict":"As of 2026-07-15, ChatGPT, Claude, Gemini, Grok collectively rank GLM-5.2 #2 of 13 for open-weight llm. Source: https://modelsagree.com/product/glm-5-2 (modelsagree.com, CC BY 4.0).","best_rank":2,"categories":1,"brief":{"category":"best-open-weight-llm","title":"Best open-weight LLM","rank":2,"of":13,"top":"DeepSeek-V4","day":"2026-07-17","why":[{"t":"frontier-grade coding and reasoning","m":["ChatGPT","Grok"],"q":"frontier-grade coding, reasoning, tool use"},{"t":"long-horizon agentic workflows","m":["ChatGPT","Grok","Gemini"],"q":"highly optimized for long-horizon agentic workflows"},{"t":"multi-step tool-use","m":["ChatGPT","Gemini"],"q":"multi-step tool-use"},{"t":"permissive MIT license","m":["Grok","Gemini"],"q":"MIT license enables broad use for building production apps"}],"gap":[{"t":"dramatically reduced KV cache usage","m":["Gemini"],"q":"dramatically reducing KV cache usage"},{"t":"low active parameters","m":["Grok"],"q":"MoE with low active params"},{"t":"proven scalable self-hosting value","m":["Grok"],"q":"proven self-hosting value for scalable app backends"}],"fix":[{"t":"multi-GPU self-hosting demands","m":["ChatGPT","Gemini","Grok"],"q":"practical self-hosting a multi-GPU or datacenter undertaking"},{"t":"less mature community ecosystem","m":["Gemini"],"q":"less mature community library ecosystem outside Chinese developer circles"},{"t":"less emphasis on multimodality","m":["Grok"],"q":"less emphasis on multimodality"}]},"entries":[{"slug":"best-open-weight-llm","title":"Best open-weight LLM","rank":2,"of":13,"score":12,"appearances":3,"modelRanks":{"ChatGPT":1,"Gemini":4,"Grok":1},"reason":"Best overall balance of frontier-grade coding, reasoning, tool use, long-horizon agent work, and low-cost hosted access; narrowly leads DeepSeek-V4-Pro for application development.","reasons":[{"model":"ChatGPT","reason":"Best overall balance of frontier-grade coding, reasoning, tool use, long-horizon agent work, and low-cost hosted access; narrowly leads DeepSeek-V4-Pro for application development."},{"model":"Grok","reason":"Leads open-weight models on key agentic coding and long-horizon benchmarks like SWE-Bench Pro and Terminal-Bench (strong real-world software engineering performance); large MoE with excellent reasoning (e.g., top GPQA); MIT license enables broad use for building production apps."},{"model":"Gemini","reason":"A 744B MoE released under a permissive MIT license in mid-2026, highly optimized for long-horizon agentic workflows, multi-step tool-use, and 1M-token context operations."}],"fixes":[{"model":"ChatGPT","fix":"Its roughly 753B-weight footprint makes practical self-hosting a multi-GPU or datacenter undertaking."},{"model":"Gemini","fix":"Requires significant memory for self-hosting and suffers from a less mature community library ecosystem outside Chinese developer circles."},{"model":"Grok","fix":"High resource demands for full inference (multi-GPU needed for best performance); less emphasis on multimodality."}],"updated":"2026-07-15","api":"https://modelsagree.com/api/v1/best/best-open-weight-llm.json"}],"page":"https://modelsagree.com/product/glm-5-2","check":"https://modelsagree.com/check?q=GLM-5.2","updated":"2026-08-10T18:18:45.051Z","attribution":"modelsagree.com, CC BY 4.0"}