Model Zhipu AI - CometAPI

Z

GLM 5.2

Masukan:$1.12/M

Keluaran:$3.528/M

GLM-5.2 ialah kemas kini penting daripada Zhipu dalam bidang model besar sumber terbuka dan pengaturcaraan AI.

Z

GLM 5.1

Masukan:$1.12/M

Keluaran:$3.528/M

GLM-5.1 (dikeluarkan pada April 2026) dibina khusus untuk tugas autonomi jangka panjang. Tidak seperti model tradisional yang dioptimumkan untuk interaksi singkat, GLM-5.1 cemerlang dalam mengekalkan penjajaran matlamat, mengurangkan hanyutan strategi, dan menyampaikan hasil bertaraf produksi dalam tempoh berpanjangan — sehingga 8 jam kerja autonomi berterusan pada satu tugas kompleks. Ia mewakili lonjakan besar dalam kejuruteraan agen, mengalihkan fokus penilaian daripada kecerdasan satu pusingan kepada pelaksanaan berterusan di dunia sebenar.

Z

GLM 5 Turbo

Konteks:200k

Masukan:$0.96/M

Keluaran:$3.264/M

GLM-5 Turbo ialah model baharu daripada Z.ai yang direka untuk inferens pantas dan prestasi mantap dalam persekitaran dipacu ejen seperti senario OpenClaw.

Z

GLM 5

Masukan:$0.8/M

Keluaran:$3.2/M

<think>**Considering user intent** I see that the user shared a paragraph about "GLM-5", Z.ai’s open-source foundation model. Since there’s no clear question, it seems like they might want me to improve, summarize, or maybe even rewrite it. I should ask them for clarification. I could propose options like summarizing, editing, or creating a tagline. Although the CLI guidelines focus on code, I can still assist with textual editing. I’ll ask, “How can I help?” to guide the conversation forward.**Exploring content options** I’m considering various options to effectively present the information. I could tighten the copy, rewrite it for an executive summary, or create landing page elements like hero text and bullet points. Benchmark comparisons against closed-source models, like GPT-4.1, can help here too. It seems I should offer concise variants, like a one-liner, an elevator pitch, and a more detailed paragraph, while also keeping disclaimers in mind. I'll propose these and see if the user wants more alternatives.**Drafting content structure** I’m thinking about including a GitHub README intro snippet. I want to keep it simple with minimal formatting, just a few lines and some bullet points. I'll also craft a concise rewrite while suggesting a structure for the product page. This could include a hero section, subhead, calls-to-action, value propositions, and more. For the snippet, I'll say something like: "GLM-5 is Z.ai's open-source foundation model designed for complex systems and agent workflows." It sounds cleaner and more to the point!**Crafting product variants** I’m thinking of proposing more variations like a tagline and bullet points, highlighting features such as full-system build and deploy, agentic planning, long-horizon reasoning, and production-grade performance. I should be cautious with claims about latency if it's not mentioned. It might be safer to stick to "production-grade performance" instead. I'm considering adding a call to action, like "Docs | GitHub," and I'll ask the user what they want to do. For a rewrite, I’ll offer a brief product-line hero: “GLM-5 is Z.ai’s open-source foundation model for complex systems and agent workflows.” It sounds appealing!**Polished Variants** I’m considering several polished variants for the user’s content. I need to ensure it’s concise and tailored to the audience, whether they’re execs or developers. I'll suggest a headline like "Build Entire Systems, Not Just Code” and include bullet points for features like agentic planning and iterative self-correction. I’ll provide three versions: a one-sentence summary, a brief two- to three-sentence statement, and a more expanded paragraph. I’ll also ask how they’d like to proceed: tighten, create a headline, or analyze claims. I'll craft the response, keeping formatting minimal and ensuring everything is ASCII compliant. Let's see which option they prefer!</think> Want this tightened or repurposed? Here are a few polished variants—pick a direction and I’ll tune tone and audience. - Concise: GLM-5 is Z.ai’s open-source foundation model for complex systems design and long-horizon agent workflows, pairing advanced planning, deep backend reasoning, and iterative self-correction to move beyond code generation into full-system construction and autonomous execution—at production-grade performance that rivals leading closed-source models. - Developer-forward: GLM-5 is an open-source model built for expert developers who need to ship large, multi-service systems. It plans, reasons across backends, and self-corrects over long horizons, so it doesn’t just write code—it assembles working systems and runs them autonomously, with production-grade reliability and throughput. - Landing-page style: - Headline: Build Entire Systems, Not Just Code - Subhead: GLM-5 is Z.ai’s open-source model engineered for complex systems design and long-horizon agent workflows. - Value props: agentic planning; deep backend reasoning; iterative self-correction; production-grade performance; autonomous execution from spec to system. If you share target audience (research, enterprise, OSS devs), voice (technical vs marketing), and any benchmark links to back the “rivals closed-source” claim, I can finalize copy for a README, landing page hero, or press release.