GLM

A coding head-to-head: GLM-5.2's leaderboard-topping text coding vs MiniMax M3's native multimodality, lower price, and MSA long-context speed — with specs, benchmarks, and a clear verdict.

A practical walkthrough for self-hosting GLM-5.2 (744B MoE, 40B active) on llama.cpp. Quant tables, four hardware paths, exact install commands, verification, and a fallback to the Z.ai cloud API if your rig falls short.

Z.ai's GLM-5.2 is the leading open-weights LLM on the Artificial Analysis Intelligence Index v4.1. 744B params (40B active), 1M-token context, MIT-licensed weights. Architecture, benchmarks, pricing, and a 3-path local-inference playbook.

Moonshot's Kimi K2.7 Code and Z.ai's freshly-released GLM 5.2 are both Chinese open-weights coding flagships, both shipped in June 2026, and they trade on opposite axes. K2.7 leads on MCP tool use and pricing; GLM 5.2 leads on 1M context. We pick per workload.

GLM 5.2 ships 1M-token context and MIT open weights on a flat subscription. Claude Opus 4.8 stays the agentic-coding benchmark at premium per-token pricing. We compare cost, agentic strength, self-hosting and pick a winner per workload.

Two open-weights heavyweights from China go head-to-head for the agentic-coding throne. GLM 5.2 leads on context window; DeepSeek V4 leads on token economics. We break down cost, agentic strength, self-host paths, and pick a winner per workload.

OpenAI's flagship versus Z.ai's freshest open-weights challenger. GPT-5.5 holds frontier coding benchmarks; GLM 5.2 ships a 1M window and self-hostable weights. Where each actually wins for engineering teams.

Zhipu Z.ai shipped GLM 5.2 today on every GLM Coding Plan tier with a usable 1M-token context window. Standalone API, the Z.ai chatbot, and the MIT open weights are arriving next week. No benchmarks yet — here's what's confirmed, what's not, and how it fits next to GLM-5.1.