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Read about our latest product features, solutions, and updates.
Glm5.3 API
The GLM 5.3 API explained: model ID, specs, thinking modes, and verified benchmarks, plus how to test glm-5.3 with an OpenAI-compatible endpoint today.
Kimi K3 vs GLM 5.3：基准对比、独立评测与选购建议
Kimi K3 vs GLM 5.3 对比：官方基准表（GLM 5.3 赢 CyberGym 84.5 vs 80.0、AutomationBench 48.2 vs 46.7；Kimi K3 赢 SWE-Marathon 48.1 vs 42.5）、AA 指数均为 60 分、价格差近一倍。
When Is GLM 5.3 Coming Out? Release Date & Availability
When is GLM 5.3 coming out? It launched August 14, 2026 — live on the GLM Coding Plan and ZCode now, API rolling out, open weights expected in late August.
GLM 5.3 Architecture: Same Base as 5.2, ~743B MoE — Post-Training Explained
GLM 5.3 architecture — same ~743B-753B MoE base model as GLM 5.2, all gains from post-training (IndexShare, SAO, slime), 1M context, 128K output. What's inside and what it means.
GLM 5.3 Artificial Analysis Score: 60 on the Intelligence Index — Explained
GLM 5.3 scores 60 on Artificial Analysis Intelligence Index (max reasoning) — matching Kimi K3, 3 behind Claude Opus 5, 8th of 181 models, at the lowest cost per task ($0.68).
GLM 5.3 Benchmarks: Full Scores vs GLM 5.2, Kimi K3, GPT-5.6 Sol & More
GLM 5.3 benchmark results — Terminal-Bench 3.0 28.3, DeepSWE 66.9, CyberGym 84.5 (SOTA), AutomationBench 48.2. Full official table vs GLM 5.2, Kimi K3, Opus 4.8, GPT-5.6 Sol.
GLM 5.3 Cybersecurity: CyberGym SOTA, 2,436 Real Vulnerabilities & the Disclosure Ledger
GLM 5.3's emergent cyber capability — CyberGym 84.5 (best public result), 2,436 real-world vulnerabilities found across 269 projects, and why Z.AI holds the weights for safety hardening.
How to Migrate from GLM 5.2 to GLM 5.3: Thinking Parameters & Breaking Changes
GLM 5.3 migration guide — the required thinking.enabled change, reasoning_effort (low/high/max), what breaks from GLM 5.2, and a step-by-step cutover checklist for API and Coding Plan users.
GLM 5.3 Open Weights: Release Date & What Self-Hosting Gets You
When do GLM 5.3 weights release? Z.AI says two weeks after the August 14 launch. Here's what the open-weight release includes and what to prepare for self-hosting.
GLM 5.3 on OpenRouter: Availability, Model ID & Setup
Is GLM 5.3 on OpenRouter? Not yet — as of August 14, 2026 OpenRouter lists z-ai/glm-5.2 but not glm-5.3. Here's how to use GLM 5.3 today and what to expect when it lands.
GLM 5.3 Pricing: API Cost, Token Rates & Coding Plan (2026)
GLM 5.3 costs $1.40 per 1M input tokens, $0.26 per 1M cached input tokens, and $4.40 per 1M output tokens. See worked API costs and compare the Coding Plan.
GLM 5.3 什么时候发布？发布时间线与获取方式
GLM 5.3 发布时间：2026 年 8 月 14 日已正式发布（Coding Plan/ZCode 即刻可用）；API 逐步开放；开源权重预计 8 月底（发布约两周后）。附完整时间线与怎么用。
GLM 5.3 Release Date & What's New: Complete Timeline
GLM 5.3 release date — August 14, 2026. Full timeline: launch via Coding Plan/ZCode, API rollout, open weights in ~2 weeks. Everything new vs GLM 5.2 in one place.
GLM 5.3 vs Claude Fable 5: Coding, Agents & the Open-Weight Gap
GLM 5.3 vs Claude Fable 5 — Z.AI says GLM 5.3 approaches Fable 5 on coding and agents. Full official benchmark comparison (TB 3.0 28.3 vs 33.7, DeepSWE 66.9 vs 69.7) and when GLM wins.
GLM 5.3 vs GLM 5.2: What's Actually New (Benchmarks Included)
GLM 5.3 vs GLM 5.2 — same base model, all post-training. See the real benchmark deltas, the API change you must make, and whether upgrading is worth it.
GLM 5.3 vs Kimi K3: Benchmarks, Intelligence Index & Which Is Better
GLM 5.3 vs Kimi K3 — Z.AI's official table (GLM wins CyberGym 84.5 vs 80.0, AutomationBench 48.2 vs 46.7; Kimi wins DeepSWE 67.5 vs 66.9, SWE-Marathon 48.1 vs 42.5) plus Artificial Analysis scores.
GLM 5.3 vs Claude Opus 5: Which Coding Model Wins?
GLM 5.3 vs Claude Opus 5 — Z.AI's official table compares GLM 5.3 to Opus 4.8 (GLM wins 6 of 10). Here's how Opus 5 stacks up on price, context, and capability.
GLM 5.3 vs GPT-5.6 Sol: Benchmark Battle & Which to Choose
GLM 5.3 vs GPT-5.6 Sol — head-to-head from Z.AI's official benchmark table: CyberGym 84.5 vs 83.6 (GLM wins), Terminal-Bench 3.0 28.3 vs 34.6 (Sol wins), and price: open-weights vs closed API.
GLM 5.3 Weights: Release Date, Specs & What's Inside
GLM 5.3 weights — release date (2 weeks after Aug 14, 2026), same base as GLM 5.2, 1M context, and what the open-weight release means for self-hosting.
Grok 4.6 API: Pricing, Context Window, and How to Use It
A practical guide to Grok 4.6 pricing, its 500K-token context window, reasoning controls, and how to choose the right prompt size.
How To Use Glm 5.2 App: Step-by-Step Guide
Learn how to use the GLM 5.2 app: open glm5.app in any browser, start a coding chat, and move to the OpenAI-compatible API — with examples and honest platform limits.
How to Use GLM 5.3: API Setup, Thinking Parameters & Coding Plan
How to use GLM 5.3 — API setup with the new thinking parameters, GLM Coding Plan points, ZCode tips, and what changed from GLM 5.2.
How To Use Glm AI: Step-by-Step Guide
Learn how to use GLM AI step by step — official chat, the Z.ai API, and hosted access — with practical examples, tips, and the most common mistakes to avoid.
What Is GLM 5.3? The Coding-First Release That Skips a New Base Model
What is GLM 5.3? Z.AI's August 14, 2026 release keeps the GLM 5.2 base model and gains everything from post-training — 50% better coding, emergent cyber capabilities, and open weights in two weeks.
Z.AI GLM 5.3: How to Access the New Flagship (Coding Plan, ZCode, API)
Z.AI GLM 5.3 access guide — GLM Coding Plan ($18/$80/$168), ZCode agent, and the upcoming API (glm-5.3, $1.40/$4.40 per 1M). What's included and how to start.
智谱 GLM 5.3 是什么？全新编程旗舰全面解析
智谱 Z.ai 于 2026 年 8 月 14 日发布 GLM 5.3：与 GLM 5.2 同基座（约 743B MoE），全部提升来自后训练——编程能力提升 50%、Terminal-Bench 3.0 从 4.6 跃至 28.3、CyberGym 84.5 登顶。
DeepSeek V4 Pro Alternatives: 7 Flagship Options Ranked (2026)
The best DeepSeek V4 Pro alternatives, ranked by a 6-dimension framework — GLM 5.2, Kimi K3, GPT-5.6, Claude Opus 4.8, Gemini 2.5 Pro, Llama 4 Maverick, Qwen 3. With pricing, best-for picks, and honest trade-offs.
DeepSeek V4 Pro API: Key, Endpoint, and Python Quickstart
Connect to the DeepSeek V4 Pro API in 3 steps: get a key at platform.deepseek.com, point at the OpenAI-compatible endpoint, and run copy-paste Python and curl examples — including thinking mode.
DeepSeek V4 Pro Benchmarks: 0813 Scores and Speed Decoded
DeepSeek V4 Pro benchmarks explained: Intelligence Index 53 (#2/104), 83.2 tok/s, 1.63s TTFT — what the 0813 numbers mean, where they come from, and how to read them without being misled.
DeepSeek V4 Pro Context Window: What 1M Tokens Really Means
DeepSeek V4 Pro has a 1M-token context window. Here is what 1,048,576 tokens hold in pages and books, when long context pays off, how the 384K output cap fits, and what cached long-context calls really cost.