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    <title>GLM-5.2 - Developers Digest</title>
    <link>https://www.developersdigest.tech/series/glm-5-2</link>
    <description>Everything on Z.ai&apos;s open-weights GLM-5.2 coding model: how to access it free and cheap, what it costs to run, how it stacks up against DeepSeek, Qwen, and the frontier labs, and why an MIT-licensed model is beating closed ones on real benchmarks.</description>
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    <lastBuildDate>Sat, 20 Jun 2026 20:31:59 GMT</lastBuildDate>
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      <title>GLM-5.2 - Developers Digest</title>
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      <title><![CDATA[GLM-5.2 Developer Guide: Z.ai's 1M-Context Coding Model]]></title>
      <link>https://www.developersdigest.tech/blog/glm-5-2-developer-guide-2026</link>
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      <description><![CDATA[Z.ai shipped GLM-5.2 in mid-June with a usable 1M-token context window, two thinking-effort levels, and MIT open weights now released. Here is the setup guide for Claude Code, pricing breakdown, and what to test before the benchmarks arrive.]]></description>
      <pubDate>Mon, 15 Jun 2026 00:00:00 GMT</pubDate>
      <category>glm</category>
      <category>z-ai</category>
      <category>ai-coding</category>
      <category>claude-code</category>
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      <title><![CDATA[Where to Run GLM-5.2 Free and Cheap: Every Provider Compared (2026)]]></title>
      <link>https://www.developersdigest.tech/blog/glm-5-2-free-and-cheap-access-2026</link>
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      <description><![CDATA[GLM-5.2 ships under an MIT license, so it is hosted everywhere - and a few places run it for free right now. Here is every way to access Z.ai's open-weights coding model, from free tiers in Devin and Hugging Face to the cheapest per-token routes on OpenRouter, Fireworks, and DeepInfra, plus local Ollama.]]></description>
      <pubDate>Sat, 20 Jun 2026 00:00:00 GMT</pubDate>
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      <category>z-ai</category>
      <category>open-weights</category>
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      <title><![CDATA[GLM-5.2 Cost Math: When Open-Weights Coding Models Actually Save You Money]]></title>
      <link>https://www.developersdigest.tech/blog/glm-5-2-cost-math-open-weights-coding-models</link>
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      <description><![CDATA[Z.ai's GLM-5.2 lands as a 753B open-weights coding model that beats GPT-5.5 on SWE-bench Pro for roughly one-sixth the per-token cost. Here is the real cost math, a worked cost-per-task example, and a when-to-use-which decision guide.]]></description>
      <pubDate>Wed, 17 Jun 2026 00:00:00 GMT</pubDate>
      <category>pricing</category>
      <category>ai-models</category>
      <category>open-weights</category>
      <category>glm</category>
      <category>ai-coding-tools</category>
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      <title><![CDATA[GLM-5.2 vs DeepSeek V4 vs Qwen3: The Open-Weights Coding Model Showdown (2026)]]></title>
      <link>https://www.developersdigest.tech/blog/glm-5-2-vs-deepseek-v4-vs-qwen3-open-weights-coding-showdown</link>
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      <description><![CDATA[A data-rich, source-cited comparison of the three open-weights coding models that matter in 2026: GLM-5.2, DeepSeek V4, and Qwen3. Benchmark table, per-token pricing, context windows, self-host footprint, and a clear pick-X-if decision matrix.]]></description>
      <pubDate>Wed, 17 Jun 2026 00:00:00 GMT</pubDate>
      <category>open-weights</category>
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      <category>glm</category>
      <category>deepseek</category>
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      <title><![CDATA[GPT-5.5 Has a 3x Higher Hallucination Rate Than MIT-Licensed GLM-5.2]]></title>
      <link>https://www.developersdigest.tech/blog/gpt-5-5-hallucination-benchmark-glm-5-2</link>
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      <description><![CDATA[New benchmark data shows GPT-5.5 hallucinates 86% of the time when it does not know the answer - versus 28% for the open-weights GLM-5.2. The numbers challenge the assumption that bigger models equal more reliable output.]]></description>
      <pubDate>Sat, 20 Jun 2026 00:00:00 GMT</pubDate>
      <category>News</category>
      <category>Hacker News</category>
      <category>LLMs</category>
      <category>GPT</category>
      <category>Benchmarks</category>
      <category>Open Weights</category>
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