Masukan:$0.8/M
Keluaran:$3.2/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.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.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.Konteks:200,000
Masukan:$0.96/M
Keluaran:$3.84/M
Model perdana terkini Zhipu, GLM-4.6, telah dilancarkan: jumlah parameter 355B, parameter aktif 32B. Keupayaan teras keseluruhan mengatasi GLM-4.5. Pengekodan: Setara dengan Claude Sonnet 4, terbaik di China. Konteks: Dipanjangkan kepada 200K (asalnya 128K). Inferens: Dipertingkat, menyokong panggilan alat. Carian: Rangka kerja alat dan ejen dioptimumkan. Penulisan: Lebih selaras dengan keutamaan manusia, gaya penulisan dan permainan peranan. Berbilang bahasa: Keupayaan terjemahan dipertingkat.Konteks:200K
Masukan:$0.96/M
Keluaran:$3.84/M
GLM-4.7 ialah model perdana terbaharu Z.AI, menampilkan penaiktarafan dalam dua bidang utama: keupayaan pengaturcaraan yang dipertingkat dan penaakulan/pelaksanaan berbilang langkah yang lebih stabil. Ia menunjukkan peningkatan ketara dalam melaksanakan tugas ejen yang kompleks sambil menyampaikan pengalaman perbualan yang lebih semula jadi dan estetika front-end yang lebih unggul.Masukan:$3.2/M
Keluaran:$12.8/M
Berprestasi tinggi, inferens yang kukuh, model respons yang sangat pantas, dioptimumkan untuk senario yang memerlukan kelajuan inferens ultra pantas dan keupayaan logik yang berkuasa, menyediakan pengalaman respons pada tahap milisaat.Masukan:$0.16/M
Keluaran:$0.64/M
GLM-4.5-Flash is an artificial intelligence model provided by ZhipuAI.Masukan:$1.6/M
Keluaran:$6.4/M
Model ringan, berprestasi tinggi, dengan respons ultra pantas, menggabungkan dengan sempurna kelebihan kos Air dan kelebihan kelajuan X, pilihan ideal untuk mengimbangi prestasi dan kecekapan.Masukan:$0.16/M
Keluaran:$1.0672/M
GLM-4.5-Air is an artificial intelligence model provided by ZhipuAI.Masukan:$0.96/M
Keluaran:$3.84/M
GLM-4.5 is an artificial intelligence model provided by ZhipuAI.