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Zai_org releases GLM-5.2 with 1M context on Together AI · 3 sources tracked

Together AI has announced the release of GLM-5.2, a new open-source model developed by Zai_org. This model is designed for long-horizon tasks and features a 1 million token context window. GLM-5.2 also boasts improved coding capabilities with adjustable effort levels to balance latency and depth, and an architecture that reduces FLOPs by 2.9x at its maximum context length. AI

IMPACT This release offers enhanced long-context capabilities and improved efficiency, potentially impacting research and applications requiring extensive context.

RANK_REASON New model release from a recognized lab (Zai_org) with significant technical details (1M context, architecture improvements).

Read on X — Together (inference / OSS) →

AI-generated summary · Google Gemini · from 3 sources. How we write summaries →

Zai_org releases GLM-5.2 with 1M context on Together AI · 3 sources tracked

COVERAGE [3]

  1. X — Together (inference / OSS) TIER_1 English(EN) · togethercompute ·

    @Zai_org GLM-5.2 is live on Together AI.

    @Zai_org GLM-5.2 is live on Together AI. Try it now: https://t.co/Ex49cKrpQR

  2. X — Together (inference / OSS) TIER_1 English(EN) · togethercompute ·

    @Zai_org Highlights:

    @Zai_org Highlights: 👉 1M context built to sustain long-horizon work 👉 Stronger coding with flexible effort levels to balance latency and depth 👉 Improved architecture with IndexShare, reducing per-token FLOPs 2.9x at 1M context 👉 MIT-licensed open weights for broad technical acc…

  3. X — Together (inference / OSS) TIER_1 English(EN) · togethercompute ·

    Introducing GLM-5.2 from @Zai_org, https://t.co/Pp24eiUBaD’s latest flagship open model for long-horizon tasks with 1M context, flexible thinking effort, and st

    Introducing GLM-5.2 from @Zai_org, https://t.co/Pp24eiUBaD’s latest flagship open model for long-horizon tasks with 1M context, flexible thinking effort, and stronger agentic coding. Now available on Together AI, GLM-5.2 runs on research-powered inference for long-context, https…