Z.AI releases GLM-5.2 with 1M context window on Hugging Face

Z.ai has released GLM-5.2, an MIT-licensed open-source AI model designed for long-running software engineering tasks, as the Chinese company seeks to challenge proprietary coding models on cost and performance. The company said GLM-5.2 ranked just behind Anthropic’s Claude Opus 4.8 on FrontierSWE, a long-horizon coding benchmark, trailing it by 1%. Z.ai said the model also edged out OpenAI’s GPT-5.5 by 1%. Z.ai said GLM-5.2 supports a one-million-token context window with up to 131,072 output tokens, positioning it for agentic coding workflows that require reasoning across large codebases. The company is also making an efficiency argument. It said GLM-5.2 uses a technique called IndexShare, which reduces per-token compute by 2.9 times at a one-million-token context length. It also said changes to the model’s multi-token prediction layer increased the acceptance length for speculative decoding by up to 20%. The changes are aimed at a practical problem for developers: long-context coding

Z.ai has released GLM-5.2, an MIT-licensed open-source AI model designed for long-running software engineering tasks, as the Chinese company seeks to challenge proprietary coding models on cost and performance. The company said GLM-5.2 ranked just behind Anthropic’s Claude Opus 4.8 on FrontierSWE, a long-horizon coding benchmark, trailing it by 1%. Z.ai said the model also edged out OpenAI’s GPT-5.5 by 1%. Z.ai said GLM-5.2 supports a one million-token context window with up to 131,072 output tokens, positioning it for agentic coding workflows that require reasoning across large codebases. The company is also making an efficiency argument. It said GLM-5.2 uses a technique called IndexShare, which reduces per-token compute by 2.9 times at a one million-token context length. It also said changes to the model’s multi-token prediction layer increased the acceptance length for speculative decoding by up to 20%. The changes are aimed at a practical problem for developers: long-context coding

GLM-5.2's advancements could redefine AI's role in complex coding and long-term tasks, challenging proprietary models and influencing market dynamics. The post Z AI’s GLM-5.2 tops Artificial Analysis Intelligence Index with highest open model score of 51 appeared first on Crypto Briefing.

Z.AI's GLM-5.2 could democratize access to advanced AI coding tools, challenging industry giants and fostering innovation at lower costs. The post Z.AI’s GLM-5.2 outperforms GPT-5.5 on coding benchmarks at one-sixth the cost appeared first on Crypto Briefing.

Z.ai's GLM-5.2 could reshape the AI landscape, intensifying competition and prompting strategic responses from major industry players. The post Z.AI’s GLM-5.2 outperforms GPT-5.5 on coding benchmarks at lower cost appeared first on Crypto Briefing.

Z.ai launched GLM-5.2 on June 13, 2026, across every GLM Coding Plan tier. The headline is a usable 1-million-token context window plus High and Max effort levels. It drops into Claude Code, Cline, and OpenClaw through an Anthropic-compatible endpoint. No benchmarks shipped at launch, and MIT open weights are promised next week. The post Z.ai Launches GLM-5.2 With a Usable 1M-Token Context, Two Thinking-Effort Levels, and No Benchmarks at Launch appeared first on MarkTechPost.

Kimi-K2.7-Code's efficiency and open-source nature could democratize AI-driven coding, reducing costs and enhancing accessibility for developers. The post Kimi AI releases open-source K2.7 Code model with 1 trillion parameters on APIs and Hugging Face appeared first on Crypto Briefing.

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