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Chronicles

The story behind the story

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Z.ai, formerly known as Zhipu and which has raised $1.5B from Tencent and others, releases GLM-4.5, an open source AI model that's cheaper to use than DeepSeek

BEIJINGChinese companies are making smarter artificial intelligence models that are increasingly cheaper to use …

CNBC Evelyn Cheng

Context & Ripple Effects

Z.ai’s $1.5B backing from Tencent and other investors gives its open-source release more strategic weight than a standalone model launch: it pairs a funded Chinese AI developer with a direct cost challenge to DeepSeek.

The release begins a broader product arc that later expanded into open-weight vision models with native function calling and larger GLM generations. That makes GLM-4.5 an early signal of Z.ai using open availability and operating cost as routes to adoption.

First-order effects

  • Developers can evaluate and deploy an open-source GLM-4.5 alternative positioned as cheaper to use than DeepSeek, increasing their model-choice leverage immediately.
  • Z.ai gains a clearer acquisition pitch: its investor-backed model family can compete on both openness and inference cost.

Second-order effects

  • DeepSeek and other model providers face greater pressure to demonstrate either lower cost per useful task or differentiated performance as buyers compare substitutable Chinese models.
  • Cheaper open models can shift value toward deployment, integration, and application-layer distribution, where access to model weights alone is not the full product.

Third-order effects

  • If repeated releases sustain comparable capability at lower operating cost, foundation models may become less differentiated as standalone products and more differentiated by distribution, tooling, and infrastructure efficiency.
  • Later GLM-5.1 price increases amid agentic-AI demand indicate that the low-cost trajectory is not one-way: higher-value workloads may still support price segmentation even as baseline models commoditize.

The trend: This is one data point in the race to lower AI cost per useful task through open-weight releases while reserving pricing power for more capable, agent-oriented models.

Discussion

  • @zai_org @zai_org on x
    To better demonstrate the coding capabilities of GLM-4.5, we have developed a coding agent inspired by Claude Code. By providing a basic full-stack website boilerplate, the agent enables users to create an entire website with just a few words. /1 Build an interactive Pokémon [vid…
  • @zai_org @zai_org on x
    Leveraging GLM-4.5's powerful agentic tool usage and HTML coding capabilities, we developed a model-native Slides/Poster agent. /2 Create a PowerPoint presentation introducing Elon Musk's achievements and his performance in yesterday's Tour de France cycling race. [video]
  • @zai_org @zai_org on x
    Our hybrid post-training pipeline trains expert models for each domain (reasoning, agentic, general) using cold-start supervised fine-tuning (SFT) and specialized reinforcement learning (RL). The knowledge is then unified via large-scale SFT self-distillation, followed by
  • @zai_org @zai_org on x
    Introducing GLM-4.5 and GLM-4.5 Air: new flagship models designed to unify frontier reasoning, coding, and agentic capabilities. GLM-4.5: 355B total / 32B active parameters GLM-4.5-Air: 106B total / 12B active parameters API Pricing (per 1M tokens): GLM-4.5: $0.6 Input / $2.2 [im…
  • @zai_org @zai_org on x
    The model now creates sophisticated standalone artifacts—from interactive mini-games to physics simulations—across HTML, SVG, Python and other formats. /3 Create a 3D particle galaxy with swirling nebulas, dynamic lighting. [video]
  • @zai_org @zai_org on x
    On the SWE-bench Verified benchmark, our Pareto frontier analysis shows that GLM-4.5 and GLM-4.5-Air deliver the best performance at their respective scales. [image]
  • r/technology r on reddit
    China's latest AI model claims to be even cheaper to use than DeepSeek