{"id":1948,"date":"2026-03-16T20:25:41","date_gmt":"2026-03-16T12:25:41","guid":{"rendered":"https:\/\/gaga.art\/blog\/?p=1948"},"modified":"2026-03-16T20:25:43","modified_gmt":"2026-03-16T12:25:43","slug":"glm-5-turbo","status":"publish","type":"post","link":"https:\/\/gaga.art\/blog\/glm-5-turbo\/","title":{"rendered":"GLM-5-Turbo: The Agent AI That&#8217;s Beating Claude"},"content":{"rendered":"\n<figure class=\"wp-block-image size-large\"><img loading=\"lazy\" decoding=\"async\" width=\"1024\" height=\"572\" src=\"https:\/\/gaga.art\/blog\/wp-content\/uploads\/2026\/03\/glm-5-turbo-1024x572.webp\" alt=\"glm-5-turbo\" class=\"wp-image-1950\" srcset=\"https:\/\/gaga.art\/blog\/wp-content\/uploads\/2026\/03\/glm-5-turbo-1024x572.webp 1024w, https:\/\/gaga.art\/blog\/wp-content\/uploads\/2026\/03\/glm-5-turbo-300x167.webp 300w, https:\/\/gaga.art\/blog\/wp-content\/uploads\/2026\/03\/glm-5-turbo-768x429.webp 768w, https:\/\/gaga.art\/blog\/wp-content\/uploads\/2026\/03\/glm-5-turbo-1536x857.webp 1536w, https:\/\/gaga.art\/blog\/wp-content\/uploads\/2026\/03\/glm-5-turbo-2048x1143.webp 2048w\" sizes=\"auto, (max-width: 1024px) 100vw, 1024px\" \/><\/figure>\n\n\n\n<p><\/p>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"key-takeaways\" style=\"font-size:24px\"><strong>Key Takeaways<\/strong><\/h2>\n\n\n\n<p><\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>GLM-5-Turbo<\/strong> is a dedicated fast-inference model by Z.ai (Zhipu AI), built on the GLM-5 foundation and optimized specifically for agent-driven workflows like OpenClaw.<\/li>\n\n\n\n<li>It delivers real-time streaming, structured outputs, and long-chain task execution\u2014all at significantly lower cost than closed-source alternatives.<\/li>\n\n\n\n<li>GLM-5 (the base model) has 744B parameters (40B active), a 200K token context window, and achieves open-source SOTA on SWE-bench, BrowseComp, and Terminal-Bench 2.0.<\/li>\n\n\n\n<li>GLM-5-Turbo is available via the Z.ai API, OpenRouter, and can be integrated into OpenClaw, Claude Code, and other agent frameworks in minutes.<\/li>\n\n\n\n<li><strong>Bonus:<\/strong> Gaga AI is a powerful AI video creation platform that pairs well with AI-powered workflows\u2014offering image-to-video, AI avatars, voice cloning, and TTS in one place.<\/li>\n<\/ul>\n\n\n\n<p><\/p>\n\n\n\n<div class=\"wp-block-rank-math-toc-block has-custom-cd-994-c-color has-text-color has-link-color wp-elements-c4610cb28bf0be7e283f3fdac9611c88\" id=\"rank-math-toc\"><p>Table of Contents<\/p><nav><ul><li><a href=\"#key-takeaways\">Key Takeaways<\/a><\/li><li><a href=\"#what-is-glm-5-turbo\">What Is GLM-5-Turbo?<\/a><\/li><li><a href=\"#glm-5-vs-glm-5-turbo-whats-the-difference\">GLM-5 vs GLM-5-Turbo: What&#8217;s the Difference?<\/a><\/li><li><a href=\"#what-makes-glm-5-so-powerful-the-foundation-matters\">What Makes GLM-5 So Powerful (The Foundation Matters)<\/a><ul><li><a href=\"#architecture-at-a-glance\">Architecture at a Glance<\/a><\/li><li><a href=\"#benchmark-performance\">Benchmark Performance<\/a><\/li><\/ul><\/li><li><a href=\"#what-is-glm-5-turbo-actually-good-at\">What Is GLM-5-Turbo Actually Good At?<\/a><ul><li><a href=\"#1-long-chain-task-execution\">1. Long-Chain Task Execution<\/a><\/li><li><a href=\"#2-tool-use-function-calling\">2. Tool Use &amp; Function Calling<\/a><\/li><li><a href=\"#3-real-time-streaming\">3. Real-Time Streaming<\/a><\/li><li><a href=\"#4-structured-output\">4. Structured Output<\/a><\/li><li><a href=\"#5-enterprise-system-integration\">5. Enterprise System Integration<\/a><\/li><\/ul><\/li><li><a href=\"#how-to-use-glm-5-turbo-step-by-step\">How to Use GLM-5-Turbo: Step-by-Step<\/a><ul><li><a href=\"#option-a-via-the-z-ai-api-direct\">Option A: Via the Z.ai API (Direct)<\/a><\/li><li><a href=\"#option-b-via-open-router\">Option B: Via OpenRouter<\/a><\/li><li><a href=\"#option-c-inside-open-claw-recommended-for-agent-builders\">Option C: Inside OpenClaw (Recommended for Agent Builders)<\/a><\/li><\/ul><\/li><li><a href=\"#glm-5-turbo-vs-the-competition\">GLM-5-Turbo vs the Competition<\/a><ul><li><a href=\"#glm-5-turbo-vs-claude-opus-4-5\">GLM-5-Turbo vs Claude Opus 4.5<\/a><\/li><li><a href=\"#glm-5-turbo-vs-gpt-4-turbo\">GLM-5-Turbo vs GPT-4 Turbo<\/a><\/li><li><a href=\"#glm-5-turbo-vs-deep-seek-r-1\">GLM-5-Turbo vs DeepSeek R1<\/a><\/li><\/ul><\/li><li><a href=\"#real-world-use-cases\">Real-World Use Cases<\/a><ul><li><a href=\"#1-autonomous-coding-agent\">1. Autonomous Coding Agent<\/a><\/li><li><a href=\"#2-enterprise-automation\">2. Enterprise Automation<\/a><\/li><li><a href=\"#3-multi-platform-ai-assistant\">3. Multi-Platform AI Assistant<\/a><\/li><li><a href=\"#4-intelligent-model-routing\">4. Intelligent Model Routing<\/a><\/li><\/ul><\/li><li><a href=\"#pricing-access-summary\">Pricing &amp; Access Summary<\/a><\/li><li><a href=\"#known-limitations\">Known Limitations<\/a><\/li><li><a href=\"#bonus-gaga-ai-the-ai-video-platform-worth-knowing\">Bonus: Gaga AI \u2014 The AI Video Platform Worth Knowing<\/a><ul><li><a href=\"#what-gaga-ai-can-do\">What Gaga AI Can Do<\/a><\/li><li><a href=\"#how-to-get-started-with-gaga-ai\">How to Get Started with Gaga AI<\/a><\/li><li><a href=\"#why-it-pairs-well-with-ai-agent-workflows\">Why It Pairs Well with AI Agent Workflows<\/a><\/li><\/ul><\/li><li><a href=\"#faq-glm-5-turbo\">FAQ: GLM-5-Turbo<\/a><\/li><\/ul><\/nav><\/div>\n\n\n\n<p><\/p>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"what-is-glm-5-turbo\"><strong>What Is GLM-5-Turbo?<\/strong><\/h2>\n\n\n\n<p><\/p>\n\n\n\n<p><strong>GLM-5-Turbo is Z.ai&#8217;s speed-optimized variant of GLM-5<\/strong>, designed for fast inference and strong performance in real-world agent environments. While GLM-5 is the flagship foundation model, GLM-5-Turbo is fine-tuned specifically for agent ecosystems\u2014most notably the OpenClaw framework\u2014making it the go-to choice when you need snappy, reliable responses across complex automated workflows.<\/p>\n\n\n\n<p>Launched in March 2026, GLM-5-Turbo generated immediate market attention: Zhipu AI&#8217;s Hong Kong-listed shares surged as much as 16% on announcement day alone.<\/p>\n\n\n\n<p>It&#8217;s not just a faster version of GLM-5. It&#8217;s been re-trained to handle:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Long execution chains without losing coherence<\/li>\n\n\n\n<li>Complex instruction decomposition across multi-step tasks<\/li>\n\n\n\n<li>Stable tool use, function calling, and scheduled execution<\/li>\n\n\n\n<li>Real-time streaming responses and structured output formats<\/li>\n<\/ul>\n\n\n\n<p><\/p>\n\n\n\n<p>If you&#8217;re building anything autonomous\u2014chatbots, coding agents, enterprise automation pipelines\u2014GLM-5-Turbo deserves serious evaluation.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"glm-5-vs-glm-5-turbo-whats-the-difference\"><strong>GLM-5 vs GLM-5-Turbo: What&#8217;s the Difference?<\/strong><\/h2>\n\n\n\n<p><\/p>\n\n\n\n<p>Understanding the relationship between the two models makes deployment decisions much easier.<\/p>\n\n\n\n<p><\/p>\n\n\n\n<figure class=\"wp-block-table\"><table class=\"has-fixed-layout\"><tbody><tr><td><strong>Feature<\/strong><\/td><td><strong>GLM-5<\/strong><\/td><td><a href=\"https:\/\/docs.z.ai\/guides\/llm\/glm-5-turbo\" rel=\"nofollow noopener\" target=\"_blank\"><strong>GLM-5-Turbo<\/strong><\/a><\/td><\/tr><tr><td><strong>Primary use<\/strong><\/td><td>Complex systems engineering, research<\/td><td>Agent workflows, OpenClaw, fast automation<\/td><\/tr><tr><td><strong>Context window<\/strong><\/td><td>200K tokens<\/td><td>204,800 tokens<\/td><\/tr><tr><td><strong>Max output<\/strong><\/td><td>128K tokens<\/td><td>131,072 tokens<\/td><\/tr><tr><td><strong>Inference speed<\/strong><\/td><td>62+ tokens\/sec (median)<\/td><td>Optimized for low-latency streaming<\/td><\/tr><tr><td><strong>Reasoning mode<\/strong><\/td><td>Yes (thinking mode)<\/td><td>Yes<\/td><\/tr><tr><td><strong>Tool calling<\/strong><\/td><td>Yes<\/td><td>Yes (enhanced)<\/td><\/tr><tr><td><strong>Ideal for<\/strong><\/td><td>Deep reasoning, SWE tasks, research<\/td><td>Agent pipelines, OpenClaw, enterprise<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n<p><\/p>\n\n\n\n<p><strong>Bottom line:<\/strong> Use GLM-5 when you need maximum reasoning depth. Use GLM-5-Turbo when you&#8217;re building production agent systems that require speed and reliability at scale.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"what-makes-glm-5-so-powerful-the-foundation-matters\"><strong>What Makes GLM-5 So Powerful (The Foundation Matters)<\/strong><\/h2>\n\n\n\n<p><\/p>\n\n\n\n<p>To understand why GLM-5-Turbo is compelling, you need to understand the foundation it&#8217;s built on.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\" id=\"architecture-at-a-glance\" style=\"font-size:24px\"><strong>Architecture at a Glance<\/strong><\/h3>\n\n\n\n<p><\/p>\n\n\n\n<p>GLM-5 is a <strong>Mixture of Experts (MoE) model<\/strong> with 744 billion total parameters\u2014but only 40 billion are active during any single inference pass. This is the key to its efficiency. More specifically:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>744B total parameters \/ 40B active<\/strong> \u2014 roughly twice the scale of GLM-4.5<\/li>\n\n\n\n<li><strong>DeepSeek Sparse Attention (DSA)<\/strong> integration \u2014 dramatically cuts deployment costs while preserving full long-context performance<\/li>\n\n\n\n<li><strong>28.5 trillion training tokens<\/strong> \u2014 up from 23T in the previous generation<\/li>\n\n\n\n<li><strong>&#8220;Slime&#8221; async RL infrastructure<\/strong> \u2014 a novel reinforcement learning system that enables more precise post-training iterations<\/li>\n<\/ul>\n\n\n\n<p><\/p>\n\n\n\n<p>It was trained entirely on <strong>Huawei Ascend chips<\/strong> using MindSpore\u2014a significant milestone in China&#8217;s push for AI hardware independence.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\" id=\"benchmark-performance\" style=\"font-size:24px\"><strong>Benchmark Performance<\/strong><\/h3>\n\n\n\n<p><\/p>\n\n\n\n<p>GLM-5 doesn&#8217;t just benchmark well. It benchmarks at the frontier.<\/p>\n\n\n\n<p><strong>Coding &amp; Engineering:<\/strong><\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>77.8%<\/strong> on SWE-bench Verified (open-source SOTA)<\/li>\n\n\n\n<li><strong>73.3%<\/strong> on SWE-bench Multilingual<\/li>\n\n\n\n<li><strong>56.2<\/strong> on Terminal-Bench 2.0 (surpassing Gemini 3 Pro)<\/li>\n<\/ul>\n\n\n\n<p><\/p>\n\n\n\n<p><strong>Reasoning &amp; Math:<\/strong><\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>92.7%<\/strong> on AIME 2026 I<\/li>\n\n\n\n<li><strong>86.0%<\/strong> on GPQA-Diamond<\/li>\n<\/ul>\n\n\n\n<p><\/p>\n\n\n\n<p><strong>Agentic Tasks:<\/strong><\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>62.0<\/strong> on BrowseComp (web-scale retrieval and synthesis)<\/li>\n\n\n\n<li>Top open-model ranking on MCP-Atlas and \u03c4\u00b2-Bench<\/li>\n<\/ul>\n\n\n\n<p><\/p>\n\n\n\n<p>In software engineering tasks, GLM-5 approaches <strong>Claude Opus 4.5-level performance<\/strong> while remaining open-weight and significantly cheaper.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"what-is-glm-5-turbo-actually-good-at\"><strong>What Is GLM-5-Turbo Actually Good At?<\/strong><\/h2>\n\n\n\n<p><\/p>\n\n\n\n<p><strong>GLM-5-Turbo is specifically optimized for agent-driven environments<\/strong>\u2014situations where AI must not just generate a response but <em>act<\/em> across multiple steps, tools, and time horizons.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\" id=\"1-long-chain-task-execution\" style=\"font-size:24px\"><strong>1. Long-Chain Task Execution<\/strong><\/h3>\n\n\n\n<p><\/p>\n\n\n\n<p>Most LLMs degrade in quality after 10\u201315 tool calls. GLM-5-Turbo is engineered to stay coherent across extended execution chains\u2014making it reliable for workflows that span dozens of sequential actions.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\" id=\"2-tool-use-function-calling\" style=\"font-size:24px\"><strong>2. Tool Use &amp; Function Calling<\/strong><\/h3>\n\n\n\n<p><\/p>\n\n\n\n<p>The model handles function calling with high accuracy, a critical requirement for agent systems. Whether invoking shell commands, querying APIs, or processing database outputs, GLM-5-Turbo executes with fewer syntax errors than general-purpose models.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\" id=\"3-real-time-streaming\" style=\"font-size:24px\"><strong>3. Real-Time Streaming<\/strong><\/h3>\n\n\n\n<p><\/p>\n\n\n\n<p>Unlike batch-mode models, GLM-5-Turbo supports real-time streaming responses\u2014essential for conversational agents where latency directly affects user experience.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\" id=\"4-structured-output\" style=\"font-size:24px\"><strong>4. Structured Output<\/strong><\/h3>\n\n\n\n<p><\/p>\n\n\n\n<p>Need JSON? Specific schemas? GLM-5-Turbo produces structured output reliably, reducing the need for post-processing layers in your pipeline.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\" id=\"5-enterprise-system-integration\" style=\"font-size:24px\"><strong>5. Enterprise System Integration<\/strong><\/h3>\n\n\n\n<p><\/p>\n\n\n\n<p>The model integrates with external toolsets and data sources out of the box, making it straightforward to embed into CRMs, ERPs, or custom business platforms.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"how-to-use-glm-5-turbo-step-by-step\"><strong>How to Use GLM-5-Turbo: Step-by-Step<\/strong><\/h2>\n\n\n\n<p><\/p>\n\n\n\n<h3 class=\"wp-block-heading\" id=\"option-a-via-the-z-ai-api-direct\" style=\"font-size:24px\"><strong>Option A: Via the Z.ai API (Direct)<\/strong><\/h3>\n\n\n\n<p><\/p>\n\n\n\n<p class=\"has-vivid-green-cyan-color has-text-color has-link-color wp-elements-877cb4c97e7182f36e43020673544b74\"><strong>Step 1:<\/strong> Sign up at<a href=\"https:\/\/z.ai\/\" rel=\"nofollow\"> z.ai<\/a> and create an API key in the API Keys management page.<\/p>\n\n\n\n<p class=\"has-vivid-green-cyan-color has-text-color has-link-color wp-elements-51b40082ce19c31902796a3daf9c075b\"><strong>Step 2:<\/strong> Make sure you&#8217;ve subscribed to the GLM Coding Plan (plans start at $10\/month).<\/p>\n\n\n\n<p class=\"has-vivid-green-cyan-color has-text-color has-link-color wp-elements-c212e2cd25a3aab5e6cfc2ffd7a8e3f7\"><strong>Step 3:<\/strong> Call the model using a standard OpenAI-compatible API format:<\/p>\n\n\n\n<p>from openai import OpenAI<\/p>\n\n\n\n<p>client = OpenAI(<\/p>\n\n\n\n<p>&nbsp;&nbsp;&nbsp;&nbsp;api_key=&#8221;YOUR_ZAI_API_KEY&#8221;,<\/p>\n\n\n\n<p>&nbsp;&nbsp;&nbsp;&nbsp;base_url=&#8221;https:\/\/open.bigmodel.cn\/api\/paas\/v4\/&#8221;<\/p>\n\n\n\n<p>)<\/p>\n\n\n\n<p>response = client.chat.completions.create(<\/p>\n\n\n\n<p>&nbsp;&nbsp;&nbsp;&nbsp;model=&#8221;glm-5-turbo&#8221;,<\/p>\n\n\n\n<p>&nbsp;&nbsp;&nbsp;&nbsp;messages=[<\/p>\n\n\n\n<p>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;{&#8220;role&#8221;: &#8220;user&#8221;, &#8220;content&#8221;: &#8220;Refactor this Python function for production use&#8230;&#8221;}<\/p>\n\n\n\n<p>&nbsp;&nbsp;&nbsp;&nbsp;]<\/p>\n\n\n\n<p>)<\/p>\n\n\n\n<p>print(response.choices[0].message.content)<\/p>\n\n\n\n<p class=\"has-vivid-green-cyan-color has-text-color has-link-color wp-elements-42bf72ca7194cac67ee9364033e4caf6\"><strong>Step 4:<\/strong> Enable streaming for agent workflows by adding stream=True to your request.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\" id=\"option-b-via-open-router\" style=\"font-size:24px\"><strong>Option B: Via OpenRouter<\/strong><\/h3>\n\n\n\n<p><\/p>\n\n\n\n<p>GLM-5-Turbo is accessible through OpenRouter at the model ID z-ai\/glm-5-turbo. This is ideal if you&#8217;re already using OpenRouter for multi-provider routing.<\/p>\n\n\n\n<p><strong>Pricing on OpenRouter:<\/strong><\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Input: competitive per-million-token rates<\/li>\n\n\n\n<li>Output: optimized for agent workloads<\/li>\n<\/ul>\n\n\n\n<p><\/p>\n\n\n\n<h3 class=\"wp-block-heading\" id=\"option-c-inside-open-claw-recommended-for-agent-builders\" style=\"font-size:24px\"><strong>Option C: Inside OpenClaw (Recommended for Agent Builders)<\/strong><\/h3>\n\n\n\n<p><\/p>\n\n\n\n<p>OpenClaw is the primary agent framework GLM-5-Turbo was built for. Here&#8217;s how to configure it:<\/p>\n\n\n\n<p class=\"has-vivid-green-cyan-color has-text-color has-link-color wp-elements-582f330c18e82ea76b7184779b6c6bfc\"><strong>Step 1:<\/strong> Install OpenClaw via the official installer:<\/p>\n\n\n\n<p># macOS\/Linux<\/p>\n\n\n\n<p>curl -fsSL https:\/\/openclaw.ai\/install.sh | sh<\/p>\n\n\n\n<p class=\"has-vivid-green-cyan-color has-text-color has-link-color wp-elements-6e91bee3cfdaf58cfaafc132dadc7678\"><strong>Step 2:<\/strong> Run the configuration wizard:<\/p>\n\n\n\n<p>openclaw config<\/p>\n\n\n\n<p>Select <strong>Z.AI<\/strong> as the model\/auth provider and paste your API key.<\/p>\n\n\n\n<p class=\"has-vivid-green-cyan-color has-text-color has-link-color wp-elements-e8363edf022f4977fd74b37cfef20d8f\"><strong>Step 3:<\/strong> Add GLM-5-Turbo to your ~\/.openclaw\/openclaw.json:<\/p>\n\n\n\n<p>{<\/p>\n\n\n\n<p>&nbsp;&nbsp;&#8220;models&#8221;: {<\/p>\n\n\n\n<p>&nbsp;&nbsp;&nbsp;&nbsp;&#8220;providers&#8221;: {<\/p>\n\n\n\n<p>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&#8220;zai&#8221;: {<\/p>\n\n\n\n<p>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&#8220;models&#8221;: [<\/p>\n\n\n\n<p>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;{<\/p>\n\n\n\n<p>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&#8220;id&#8221;: &#8220;glm-5-turbo&#8221;,<\/p>\n\n\n\n<p>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&#8220;name&#8221;: &#8220;GLM-5-Turbo&#8221;,<\/p>\n\n\n\n<p>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&#8220;reasoning&#8221;: true,<\/p>\n\n\n\n<p>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&#8220;contextWindow&#8221;: 204800,<\/p>\n\n\n\n<p>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&#8220;maxTokens&#8221;: 131072<\/p>\n\n\n\n<p>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;}<\/p>\n\n\n\n<p>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;]<\/p>\n\n\n\n<p>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;}<\/p>\n\n\n\n<p>&nbsp;&nbsp;&nbsp;&nbsp;}<\/p>\n\n\n\n<p>&nbsp;&nbsp;},<\/p>\n\n\n\n<p>&nbsp;&nbsp;&#8220;agents&#8221;: {<\/p>\n\n\n\n<p>&nbsp;&nbsp;&nbsp;&nbsp;&#8220;defaults&#8221;: {<\/p>\n\n\n\n<p>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&#8220;model&#8221;: {<\/p>\n\n\n\n<p>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&#8220;primary&#8221;: &#8220;zai\/glm-5-turbo&#8221;,<\/p>\n\n\n\n<p>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&#8220;fallbacks&#8221;: [&#8220;zai\/glm-5&#8221;, &#8220;zai\/glm-4.7&#8221;]<\/p>\n\n\n\n<p>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;}<\/p>\n\n\n\n<p>&nbsp;&nbsp;&nbsp;&nbsp;}<\/p>\n\n\n\n<p>&nbsp;&nbsp;}<\/p>\n\n\n\n<p>}<\/p>\n\n\n\n<p class=\"has-vivid-green-cyan-color has-text-color has-link-color wp-elements-98500026bb0ede79b27bab7e46c29ee3\"><strong>Step 4:<\/strong> Restart the gateway and start chatting:<\/p>\n\n\n\n<p>openclaw gateway restart<\/p>\n\n\n\n<p>openclaw tui<\/p>\n\n\n\n<p>You&#8217;ll see GLM-5-Turbo active in the terminal UI, ready for agent tasks.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"glm-5-turbo-vs-the-competition\"><strong>GLM-5-Turbo vs the Competition<\/strong><\/h2>\n\n\n\n<p><\/p>\n\n\n\n<p>How does it stack up against the models developers actually use?<\/p>\n\n\n\n<h3 class=\"wp-block-heading\" id=\"glm-5-turbo-vs-claude-opus-4-5\" style=\"font-size:24px\"><strong>GLM-5-Turbo vs Claude Opus 4.5<\/strong><\/h3>\n\n\n\n<p><\/p>\n\n\n\n<figure class=\"wp-block-table\"><table class=\"has-fixed-layout\"><tbody><tr><td><strong>Metric<\/strong><\/td><td><strong>GLM-5-Turbo<\/strong><\/td><td><strong>Claude Opus 4.5<\/strong><\/td><\/tr><tr><td>SWE-bench Verified<\/td><td>~77.8%<\/td><td>80.9%<\/td><\/tr><tr><td>Open-weight<\/td><td>\u2705 Yes<\/td><td>\u274c No<\/td><\/tr><tr><td>API pricing<\/td><td>~$1\/M input<\/td><td>$15\/M input<\/td><\/tr><tr><td>Context window<\/td><td>200K<\/td><td>200K<\/td><\/tr><tr><td>OpenClaw native<\/td><td>\u2705 Yes<\/td><td>Via proxy<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n<p><\/p>\n\n\n\n<p>Claude Opus 4.5 holds a ~3-point edge on coding benchmarks. But GLM-5-Turbo costs approximately 93% less per million tokens. For teams running high-volume agent workloads, that cost gap is decisive.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\" id=\"glm-5-turbo-vs-gpt-4-turbo\" style=\"font-size:24px\"><strong>GLM-5-Turbo vs GPT-4 Turbo<\/strong><\/h3>\n\n\n\n<p><\/p>\n\n\n\n<p>GLM-5 is roughly <strong>9.5x cheaper<\/strong> than GPT-4 Turbo for input\/output tokens, while offering a larger context window (200K vs 128K). For most agent use cases, the performance gap is negligible relative to the cost difference.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\" id=\"glm-5-turbo-vs-deep-seek-r-1\" style=\"font-size:24px\"><strong>GLM-5-Turbo vs DeepSeek R1<\/strong><\/h3>\n\n\n\n<p><\/p>\n\n\n\n<p>DeepSeek R1 is the go-to for raw cost efficiency (~96% cheaper than proprietary models). GLM-5-Turbo trades some of that cost advantage for superior agentic reliability\u2014specifically better tool-call stability and instruction-following in long chains.<\/p>\n\n\n\n<p><strong>The honest verdict:<\/strong> GLM-5-Turbo is the right choice if you&#8217;re building production-grade agent systems that require consistent multi-step execution. For pure reasoning tasks with tight budgets, DeepSeek R1 competes well.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"real-world-use-cases\"><strong>Real-World Use Cases<\/strong><\/h2>\n\n\n\n<p><\/p>\n\n\n\n<h3 class=\"wp-block-heading\" id=\"1-autonomous-coding-agent\" style=\"font-size:24px\"><strong>1. Autonomous Coding Agent<\/strong><\/h3>\n\n\n\n<p><\/p>\n\n\n\n<p>Connect GLM-5-Turbo to OpenClaw with terminal access. Give it a GitHub issue. Watch it read the codebase, write a fix, run tests, and submit a PR\u2014with minimal human input. This mirrors the workflow it was benchmarked on.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\" id=\"2-enterprise-automation\" style=\"font-size:24px\"><strong>2. Enterprise Automation<\/strong><\/h3>\n\n\n\n<p><\/p>\n\n\n\n<p>GLM-5-Turbo integrates directly with external toolsets and data sources. Practical applications include:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Extracting structured data from contracts and financial reports<\/li>\n\n\n\n<li>Automating customer service ticket triage and risk identification<\/li>\n\n\n\n<li>Translating formal texts into professional target-language output<\/li>\n<\/ul>\n\n\n\n<p><\/p>\n\n\n\n<h3 class=\"wp-block-heading\" id=\"3-multi-platform-ai-assistant\" style=\"font-size:24px\"><strong>3. Multi-Platform AI Assistant<\/strong><\/h3>\n\n\n\n<p><\/p>\n\n\n\n<p>Using OpenClaw channels, GLM-5-Turbo can power assistants across Telegram, Discord, Slack, and WhatsApp simultaneously\u2014all routed through a single agent configuration.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\" id=\"4-intelligent-model-routing\" style=\"font-size:24px\"><strong>4. Intelligent Model Routing<\/strong><\/h3>\n\n\n\n<p><\/p>\n\n\n\n<p>In high-load environments, you can configure GLM-5-Turbo as the primary model with GLM-4.7 and GLM-4.6 as fallbacks. This ensures reliability without a hard dependency on any single model version.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"pricing-access-summary\"><strong>Pricing &amp; Access Summary<\/strong><\/h2>\n\n\n\n<p><\/p>\n\n\n\n<figure class=\"wp-block-table\"><table class=\"has-fixed-layout\"><tbody><tr><td><strong>Access Method<\/strong><\/td><td><strong>Input Price<\/strong><\/td><td><strong>Output Price<\/strong><\/td><td><strong>Notes<\/strong><\/td><\/tr><tr><td>Z.ai direct API<\/td><td>~$1.00\/M tokens<\/td><td>~$3.20\/M tokens<\/td><td>Requires Coding Plan subscription<\/td><\/tr><tr><td>OpenRouter<\/td><td>$0.72\/M tokens<\/td><td>$2.30\/M tokens<\/td><td>Via z-ai\/glm-5-turbo<\/td><\/tr><tr><td>DeepInfra<\/td><td>$0.80\/M tokens<\/td><td>$2.56\/M tokens<\/td><td>Fastest affordable provider<\/td><\/tr><tr><td>Novita AI<\/td><td>$1.00\/M tokens<\/td><td>$3.20\/M tokens<\/td><td>Free context caching at $0.20\/M<\/td><\/tr><tr><td>Fireworks<\/td><td>Higher<\/td><td>Higher<\/td><td>Top speed: 212.8 t\/s<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n<p><\/p>\n\n\n\n<p>GLM-5-Turbo is included in the <strong>GLM Coding Plan<\/strong>, which provides integrated access across OpenClaw, Claude Code via LiteLLM proxy, Kilo Code, and other agentic IDEs.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"known-limitations\"><strong>Known Limitations<\/strong><\/h2>\n\n\n\n<p><\/p>\n\n\n\n<p>Being objective matters. Here are the real constraints:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Hardware costs for self-hosting:<\/strong> Running the full GLM-5 base model requires approximately 1,490GB of GPU memory\u2014accessible only to well-funded teams. The API route bypasses this.<\/li>\n\n\n\n<li><strong>Benchmark vs. real-world gap:<\/strong> GLM-5-Turbo excels at structured agentic tasks. It&#8217;s less differentiated for open-ended creative or conversational use cases where Claude and GPT-4o have more tuning.<\/li>\n\n\n\n<li><strong>OpenClaw priority:<\/strong> Under high API load, OpenClaw tasks may trigger fair-use policies (dynamic queuing, rate limiting) as coding agent tasks take preemption priority.<\/li>\n\n\n\n<li><strong>Not fully multimodal:<\/strong> GLM-5-Turbo handles text natively. Vision capabilities require the GLM-4.6V or GLM-5V series.<\/li>\n<\/ul>\n\n\n\n<p><\/p>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"bonus-gaga-ai-the-ai-video-platform-worth-knowing\"><strong>Bonus: Gaga AI \u2014 The AI Video Platform Worth Knowing<\/strong><\/h2>\n\n\n\n<p><\/p>\n\n\n\n<p>If you&#8217;re building AI-powered content pipelines or just need to create compelling video without a production team, <a href=\"https:\/\/gaga.art\/en\/\"><strong>Gaga AI<\/strong><\/a> (gaga.art) is the tool that keeps coming up.<\/p>\n\n\n\n<p><\/p>\n\n\n\n<figure class=\"wp-block-image size-large\"><img loading=\"lazy\" decoding=\"async\" width=\"1024\" height=\"623\" src=\"https:\/\/gaga.art\/blog\/wp-content\/uploads\/2026\/02\/gaga-ai-video-generation-1024x623.webp\" alt=\"gaga ai explainer video maker\" class=\"wp-image-1426\" srcset=\"https:\/\/gaga.art\/blog\/wp-content\/uploads\/2026\/02\/gaga-ai-video-generation-1024x623.webp 1024w, https:\/\/gaga.art\/blog\/wp-content\/uploads\/2026\/02\/gaga-ai-video-generation-300x183.webp 300w, https:\/\/gaga.art\/blog\/wp-content\/uploads\/2026\/02\/gaga-ai-video-generation-768x467.webp 768w, https:\/\/gaga.art\/blog\/wp-content\/uploads\/2026\/02\/gaga-ai-video-generation-1536x935.webp 1536w, https:\/\/gaga.art\/blog\/wp-content\/uploads\/2026\/02\/gaga-ai-video-generation-2048x1246.webp 2048w\" sizes=\"auto, (max-width: 1024px) 100vw, 1024px\" \/><\/figure>\n\n\n\n<p><\/p>\n\n\n\n<p>Developed by Sand.ai, Gaga AI is an all-in-one video creation platform built on the <strong>GAGA-1 model<\/strong>\u2014a unified system that generates video and audio simultaneously, unlike platforms that treat voice and visuals as separate problems.<\/p>\n\n\n\n<p><\/p>\n\n\n\n<div class=\"wp-block-buttons is-content-justification-center is-layout-flex wp-container-core-buttons-is-layout-a89b3969 wp-block-buttons-is-layout-flex\">\n<div class=\"wp-block-button\"><a class=\"wp-block-button__link wp-element-button\" href=\"http:\/\/gaga.art\/app\" target=\"_blank\" rel=\"noreferrer noopener\">Generate Video Free<\/a><\/div>\n\n\n\n<div class=\"wp-block-button\"><a class=\"wp-block-button__link wp-element-button\" href=\"https:\/\/gaga.art\/\">Learn Gaga AI<\/a><\/div>\n<\/div>\n\n\n\n<p><\/p>\n\n\n\n<h3 class=\"wp-block-heading\" id=\"what-gaga-ai-can-do\" style=\"font-size:24px\"><strong>What Gaga AI Can Do<\/strong><\/h3>\n\n\n\n<p><\/p>\n\n\n\n<p class=\"has-vivid-red-color has-text-color has-link-color wp-elements-fb945d5db9b5bb304cfde1f65570cdb7\"><strong>Image to Video AI<\/strong><\/p>\n\n\n\n<p>Upload any photo, write a prompt, and Gaga AI animates it into a smooth, expressive video clip. The GAGA-1 model focuses on emotion-driven performance\u2014natural gestures, micro-expressions, and realistic body language, not just motion blur over a still image. Most 10-second videos generate in 3\u20134 minutes.<\/p>\n\n\n\n<p class=\"has-vivid-red-color has-text-color has-link-color wp-elements-67e1c8e34bdcb59bb2fcb1305509d737\"><strong>Video &amp; Audio Infusion<\/strong><\/p>\n\n\n\n<p>Gaga AI&#8217;s audio infusion tool lets you sync custom soundtracks, ambient audio, or AI-generated music to your video timeline. The AI reads visual beats and motion cues to match audio timing automatically\u2014no manual keyframing needed.<\/p>\n\n\n\n<p class=\"has-vivid-red-color has-text-color has-link-color wp-elements-a8bf29ab21b59505a19ce456f578839e\"><strong>AI Avatar<\/strong><\/p>\n\n\n\n<p>Create a hyper-realistic presenter avatar from a single photo. The avatar supports multiple visual styles (realistic, cartoon, cinematic), multiple languages, and full emotional range. Use cases range from product demos and training videos to faceless YouTube channels and multilingual marketing.<\/p>\n\n\n\n<p class=\"has-vivid-red-color has-text-color has-link-color wp-elements-512889e5865a969b93d687d7fa6fef65\"><strong>AI Voice Clone<\/strong><\/p>\n\n\n\n<p>Gaga AI can clone any voice from as little as <strong>15 seconds of sample audio<\/strong>\u2014preserving pitch, accent, cadence, and tonal quality. The cloned voice replicates naturally across any script, making it ideal for brand consistency or creators who want every video to sound authentically like themselves.<\/p>\n\n\n\n<p class=\"has-vivid-red-color has-text-color has-link-color wp-elements-7346c80f83abc74f07d34b11a9089dff\"><strong>Text-to-Speech (TTS)<\/strong><\/p>\n\n\n\n<p>For users without a voice sample, Gaga AI&#8217;s TTS engine offers pre-built voices across genders, accents, and emotional tones\u2014with SSML-style controls for pauses, emphasis, and speaking rate directly in the script editor.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\" id=\"how-to-get-started-with-gaga-ai\" style=\"font-size:24px\"><strong>How to Get Started with Gaga AI<\/strong><\/h3>\n\n\n\n<p><\/p>\n\n\n\n<ol class=\"wp-block-list\">\n<li><strong>Sign up free<\/strong> at gaga.art \u2014 no credit card required for the trial tier<\/li>\n\n\n\n<li><strong>Choose your creation mode:<\/strong> Image to Video, AI Avatar, or Voice Clone<\/li>\n\n\n\n<li><strong>Upload your source material:<\/strong> a photo (JPG\/PNG, ideally 1080\u00d71920 for vertical or 1920\u00d71080 for horizontal)<\/li>\n\n\n\n<li><strong>Add your script or audio:<\/strong> type text for TTS, upload a voice sample, or import an existing audio track<\/li>\n\n\n\n<li><strong>Generate and export:<\/strong> preview your video, then export in high-quality format<\/li>\n<\/ol>\n\n\n\n<p>Free-tier outputs include a watermark. Paid plans unlock watermark-free exports and full commercial licensing rights.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\" id=\"why-it-pairs-well-with-ai-agent-workflows\" style=\"font-size:24px\"><strong>Why It Pairs Well with AI Agent Workflows<\/strong><\/h3>\n\n\n\n<p><\/p>\n\n\n\n<p>If you&#8217;re already using GLM-5-Turbo to automate content generation, Gaga AI closes the loop on the video production side. GLM-5-Turbo can write scripts, draft copy, and structure content. Gaga AI can turn that output into polished video with a branded avatar and cloned voice\u2014all without a camera, studio, or editing team.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"faq-glm-5-turbo\"><strong>FAQ: GLM-5-Turbo<\/strong><\/h2>\n\n\n\n<p><\/p>\n\n\n\n<p class=\"has-vivid-red-color has-text-color has-link-color wp-elements-41c65b6c055d64c9b87c494946539e45\"><strong>What is GLM-5-Turbo?<\/strong><\/p>\n\n\n\n<p>GLM-5-Turbo is a fast-inference language model from Z.ai (Zhipu AI), optimized for agent-driven workflows like OpenClaw. It handles long-chain task execution, tool use, and structured outputs with better stability than general-purpose models at similar price points.<\/p>\n\n\n\n<p class=\"has-vivid-red-color has-text-color has-link-color wp-elements-47776bdd791cfec6ff6fe46eb5667db8\"><strong>How is GLM-5-Turbo different from GLM-5?<\/strong><\/p>\n\n\n\n<p>GLM-5 is the flagship foundation model designed for deep reasoning and complex system engineering. GLM-5-Turbo is a variant fine-tuned for speed and reliability in agent environments\u2014prioritizing low-latency streaming, instruction following, and tool-call stability over raw reasoning depth.<\/p>\n\n\n\n<p class=\"has-vivid-red-color has-text-color has-link-color wp-elements-ad2c6133ef9d813c24c8af8701e2a76e\"><strong>Is GLM-5-Turbo free to use?<\/strong><\/p>\n\n\n\n<p>GLM-5-Turbo requires a Z.ai API key and a GLM Coding Plan subscription (starting at $10\/month). It is also available on OpenRouter and other third-party providers with pay-per-token pricing.<\/p>\n\n\n\n<p class=\"has-vivid-red-color has-text-color has-link-color wp-elements-c6d0635f856179ed4a00314e93d9ff10\"><strong>What context window does GLM-5-Turbo support?<\/strong><\/p>\n\n\n\n<p>GLM-5-Turbo supports a 204,800-token context window with a maximum output of 131,072 tokens\u2014suitable for processing large codebases, long documents, and extended multi-turn agent sessions.<\/p>\n\n\n\n<p class=\"has-vivid-red-color has-text-color has-link-color wp-elements-0d54f138ba382f7262981ee2bebf6761\"><strong>Can I use GLM-5-Turbo in Claude Code?<\/strong><\/p>\n\n\n\n<p>Yes. GLM-5-Turbo can be proxied into Claude Code via a LiteLLM gateway, making it an OpenAI-compatible endpoint that Claude Code treats as a drop-in backend.<\/p>\n\n\n\n<p class=\"has-vivid-red-color has-text-color has-link-color wp-elements-e368cd64e7776c239f3c2ae3f467901d\"><strong>How does GLM-5-Turbo compare to Claude Opus 4.5 for coding?<\/strong><\/p>\n\n\n\n<p>GLM-5 scores 77.8% on SWE-bench Verified compared to Claude Opus 4.5&#8217;s 80.9%. The performance gap is roughly 3 percentage points, but GLM-5-Turbo costs approximately 93% less per million tokens, making it highly competitive for high-volume coding agent deployments.<\/p>\n\n\n\n<p class=\"has-vivid-red-color has-text-color has-link-color wp-elements-d5f1de8afc0267f7c48062c72bc0c9d9\"><strong>Is GLM-5 open-source?<\/strong><\/p>\n\n\n\n<p>Yes. GLM-5 is open-weight, available on Hugging Face under a permissive license. Note that running the full model locally requires significant hardware (approximately 1,490GB of GPU memory for BF16 precision). Cloud API access is the practical path for most teams.<\/p>\n\n\n\n<p class=\"has-vivid-red-color has-text-color has-link-color wp-elements-fd3431c76bbd9e810edba951e21d5b28\"><strong>What is OpenClaw?<\/strong><\/p>\n\n\n\n<p><a href=\"https:\/\/gaga.art\/blog\/clawdbot-ai-assistant\/\">OpenClaw<\/a> is an open-source AI agent framework that connects large language models to communication channels (Telegram, Discord, Slack, iMessage, etc.) and tools. GLM-5-Turbo was specifically trained and optimized for OpenClaw scenarios, making it the recommended model within that ecosystem.<\/p>\n\n\n\n<p class=\"has-vivid-red-color has-text-color has-link-color wp-elements-709f340b948943e97c3b93a14b853bea\"><strong>What kind of tasks is GLM-5-Turbo NOT ideal for?<\/strong><\/p>\n\n\n\n<p>GLM-5-Turbo is text-only in this configuration. For vision or multimodal tasks, use GLM-4.6V or GLM-5V. For pure creative writing or conversational tasks without agentic requirements, general-purpose models with heavier instruction tuning may perform better.<\/p>\n\n\n\n<p class=\"has-vivid-red-color has-text-color has-link-color wp-elements-df6cec9b99d42c1894e7b541b79dc626\"><strong>Where can I access GLM-5-Turbo today?<\/strong><\/p>\n\n\n\n<p>Via Z.ai&#8217;s platform (docs.z.ai), OpenRouter (z-ai\/glm-5-turbo), Novita AI, DeepInfra, Fireworks, and several other third-party API providers. For local deployment, FP8 weights are available on Hugging Face at zai-org\/GLM-5-FP8.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>GLM-5-Turbo is Z.ai&#8217;s fastest agent model\u2014built for OpenClaw, long-chain tasks &amp; real-world automation. Is it the open-source AI you&#8217;ve been waiting for?<\/p>\n","protected":false},"author":2,"featured_media":1950,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[3],"tags":[],"class_list":["post-1948","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-p-r"],"_links":{"self":[{"href":"https:\/\/gaga.art\/blog\/wp-json\/wp\/v2\/posts\/1948","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/gaga.art\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/gaga.art\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/gaga.art\/blog\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/gaga.art\/blog\/wp-json\/wp\/v2\/comments?post=1948"}],"version-history":[{"count":1,"href":"https:\/\/gaga.art\/blog\/wp-json\/wp\/v2\/posts\/1948\/revisions"}],"predecessor-version":[{"id":1951,"href":"https:\/\/gaga.art\/blog\/wp-json\/wp\/v2\/posts\/1948\/revisions\/1951"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/gaga.art\/blog\/wp-json\/wp\/v2\/media\/1950"}],"wp:attachment":[{"href":"https:\/\/gaga.art\/blog\/wp-json\/wp\/v2\/media?parent=1948"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/gaga.art\/blog\/wp-json\/wp\/v2\/categories?post=1948"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/gaga.art\/blog\/wp-json\/wp\/v2\/tags?post=1948"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}