# zenmux.ai

> AI-optimized mirror of zenmux.ai containing 50 pages totalling 45,126 words of clean markdown content, structured data, and semantic HTML. Original source: https://zenmux.ai/. Last updated: 2026-04-30T23:10:28.392Z.

Each page is available as HTML (with JSON-LD structured data) and Markdown (text-only, ideal for LLMs and RAG).

## Homepage

- [Command AI with Zen Clarity: A Universe of Models, Unified in One Gateway. Subpar Results? We Compensate!    A Universe of Models, Unified in One Gateway.    Subpar Results? We Compensate!](/site-root.html): The Enterprise LLM Platform. Get a Unified API for all models, intelligent routing, and AI Model Insurance to eliminate hallucination risk. (1,290 words)

## Articles & Blog Posts

- [Page Not Found](/qwen/qwen3-max-preview/index.html): **Please note:** This is a toggle thinking model. To enable  (7 words)
- [OpenAI](/openai/index.html): Browse models from openai (2,754 words)
- [docs/best-practices/openclaw-alibaba-html.html](/docs/best-practices/openclaw-alibaba-html.html) (1 words)
- [OpenAI: GPT-5 Nano](/openai/gpt-5-nano/index.html): GPT-5-Nano is the smallest and fastest variant in the GPT-5 system, optimized for developer tools, rapid interactions, and ultra-low latency environments. While limited in reasoning depth compared to its larger counterparts, it retains key instruction-following and safety features. It is the successor to GPT-4.1-nano and offers a lightweight option for cost-sensitive or real-time applications. (558 words)
- [docs/zh/best-practices/cc-switch-html.html](/docs/zh/best-practices/cc-switch-html.html) (1 words)
- [docs/guide/subscription-html.html](/docs/guide/subscription-html.html) (1 words)
- [changelog/index.html](/changelog/index.html) (1 words)
- [docs/zh/guide/advanced/error-codes-html.html](/docs/zh/guide/advanced/error-codes-html.html) (1 words)
- [简介](/docs/zh/about/intro-html.html): 简介 (119 words)
- [docs/zh/best-practices/gemini-cli-html.html](/docs/zh/best-practices/gemini-cli-html.html) (1 words)
- [Google](/google/index.html): Browse models from google (1,181 words)
- [Models Now Live](/openai/gpt-4o/index.html): GPT-4o ( (535 words)
- [Z.ai](/z-ai/index.html): Browse models from z-ai (1,566 words)
- [Anthropic: Claude Opus 4](/anthropic/claude-opus-4/index.html): Claude Opus 4 is benchmarked as the world’s best coding model, at time of release, bringing sustained performance on complex, long-running tasks and agent workflows. It sets new benchmarks in software engineering, achieving leading results on SWE-bench (72.5%) and Terminal-bench (43.2%). Opus 4 supports extended, agentic workflows, handling thousands of task steps continuously for hours without degradation.  (624 words)
- [ZenMux AI Insurance](/pricing/pay-as-you-go/index.html) (668 words)
- [Anthropic](/anthropic/index.html): Browse models from anthropic (1,453 words)
- [订阅制套餐](/docs/zh/guide/subscription-html.html): 订阅制套餐 (1,427 words)
- [OpenAI: o4 Mini](/openai/o4-mini/index.html): OpenAI o4-mini is a compact reasoning model in the o-series, optimized for fast, cost-efficient performance while retaining strong multimodal and agentic capabilities. It supports tool use and demonstrates competitive reasoning and coding performance across benchmarks like AIME (99.5% with Python) and SWE-bench, outperforming its predecessor o3-mini and even approaching o3 in some domains.

Despite its smaller size, o4-mini exhibits high accuracy in STEM tasks, visual problem solving (e.g., MathVista, MMMU), and code editing. It is especially well-suited for high-throughput scenarios where latency or cost is critical. Thanks to its efficient architecture and refined reinforcement learning training, o4-mini can chain tools, generate structured outputs, and solve multi-step tasks with minimal delay—often in under a minute. (598 words)
- [OpenAI: GPT-4.1](/openai/gpt-4-1.html): GPT-4.1 is a flagship large language model optimized for advanced instruction following, real-world software engineering, and long-context reasoning. It supports a 1 million token context window and outperforms GPT-4o and GPT-4.5 across coding (54.6% SWE-bench Verified), instruction compliance (87.4% IFEval), and multimodal understanding benchmarks. It is tuned for precise code diffs, agent reliability, and high recall in large document contexts, making it ideal for agents, IDE tooling, and enterprise knowledge retrieval. (554 words)
- [Anthropic: Claude 3.5 Haiku](/anthropic/claude-3-5-haiku.html): Claude 3.5 Haiku features offers enhanced capabilities in speed, coding accuracy, and tool use. Engineered to excel in real-time applications, it delivers quick response times that are essential for dynamic tasks such as chat interactions and immediate coding suggestions.

This makes it highly suitable for environments that demand both speed and precision, such as software development, customer service bots, and data management systems. (572 words)
- [OpenAI: GPT-4.1 Nano](/openai/gpt-4-1-nano.html): For tasks that demand low latency, GPT‑4.1 nano is the fastest and cheapest model in the GPT-4.1 series. It delivers exceptional performance at a small size with its 1 million token context window, and scores 80.1% on MMLU, 50.3% on GPQA, and 9.8% on Aider polyglot coding – even higher than GPT‑4o mini. It’s ideal for tasks like classification or autocompletion. (546 words)
- [OpenAI: GPT-4.1 Mini](/openai/gpt-4-1-mini.html): GPT-4.1 Mini is a mid-sized model delivering performance competitive with GPT-4o at substantially lower latency and cost. It retains a 1 million token context window and scores 45.1% on hard instruction evals, 35.8% on MultiChallenge, and 84.1% on IFEval. Mini also shows strong coding ability (e.g., 31.6% on Aider’s polyglot diff benchmark) and vision understanding, making it suitable for interactive applications with tight performance constraints. (550 words)
- [Model Updates](/pricing/overview/index.html) (508 words)
- [Google: Nano Banana Pro (Gemini 3 Pro Image Preview)](/google/gemini-3-pro-image-preview/index.html): Nano Banana Pro is an AI image generation model that is a significant upgrade from its predecessor, built on Google's Gemini 3 Pro. It promises to move beyond simple pattern matching to a more reasoning-driven system with improved physics understanding, text rendering, and image consistency. Key features include faster processing, native 2K resolution, and the ability to edit existing images with greater control, aiming to produce more reliable and professional-grade results.  (689 words)
- [Best LLM for Data Analysis in 2026: Top AI Models for Accurate Insights](/blog/best-llm-for-data-analysis-in-2026-top-ai-models-for-accurate-insights.html): Discover the best LLM for data analysis in 2026. Learn why GPT‑5.2 leads modern BI workflows, compare top AI models, explore real-world use cases, and choose the right LLM for accurate, enterprise-ready insights. (1,306 words)
- [Blog](/blog/index.html): The Enterprise LLM Platform. Get a Unified API for all models, intelligent routing, and AI Model Insurance to eliminate hallucination risk. (652 words)
- [OpenRouter Alternatives You Should Try: Cheaper, Faster, and More Flexible Options](/blog/openrouter-alternatives-you-should-try-cheaper-faster-and-more-flexible-options.html): Discover the best alternatives to OpenRouter for integrating large language models (LLMs). This guide compares flexible, cost‑efficient, and high‑performance platforms—and explains why ZenMux stands out as the most advanced AI API gateway with enterprise‑grade insurance and optimal routing. (1,144 words)
- [Top Chinese AI Models in 2026: Capabilities, Use Cases, and Performance](/blog/top-chinese-ai-models-in-2026-capabilities-use-cases-and-performance.html): Discover the leading Chinese AI models of 2026, including DeepSeek, Qwen 3, Doubao 1.5 Pro, Kimi k2, and others. Learn about their capabilities, use cases, and performance in natural language processing, coding, and multimodal tasks. (1,368 words)
- [OpenAI: GPT-5](/openai/gpt-5/index.html): GPT-5 is OpenAI’s most advanced model, offering major improvements in reasoning, code quality, and user experience. It is optimized for complex tasks that require step-by-step reasoning, instruction following, and accuracy in high-stakes use cases. It supports test-time routing features and advanced prompt understanding, including user-specified intent like  (566 words)
- [Anthropic: Claude Opus 4.7](/anthropic/claude-opus-4-7.html) (691 words)
- [Qwen: Qwen3-VL-Plus](/qwen/qwen3-vl-plus/index.html): The Qwen3 series VL models effectively integrates thinking and non-thinking modes, achieving world-leading performance in visual agent capabilities on public benchmark datasets such as OS World. This version features comprehensive upgrades in areas like visual coding, spatial perception, and multimodal reasoning, significantly enhancing visual perception and recognition abilities, and supporting the understanding of ultra-long videos. (499 words)
- [Google: Gemini 3.1 Pro Preview](/google/gemini-3-1-pro-preview.html) (590 words)
- [OpenAI: GPT-5.2](/openai/gpt-5-2.html): GPT-5.2 is the newest frontier-grade model in the GPT-5 family, outperforming GPT-5.1 in agentic capabilities and long-context handling. It uses adaptive reasoning to dynamically allocate compute—responding quickly to straightforward questions while applying deeper analysis to more complex tasks.
Designed for broad task coverage, GPT-5.2 delivers consistent improvements across math, coding, science, and tool-calling workloads, producing more coherent long-form responses and more reliable tool use. (564 words)
- [Xiaomi: MiMo-V2.5](/xiaomi/mimo-v2-5.html) (520 words)
- [Anthropic: Claude Sonnet 4.6](/anthropic/claude-sonnet-4-6.html) (631 words)
- [Z.AI: GLM 4.6V Flash (Free)  Free    Rate Limit](/z-ai/glm-4-6v-flash-free.html): GLM-4.6V-Flash is the free version of GLM-4.6V, representing a significant iteration in the GLM series for multimodal capabilities. It supports toggling reasoning modes, with a training-time context window expanded to 128k tokens. Achieving state-of-the-art (SOTA) visual understanding accuracy at its parameter scale, it is the first visual model to natively integrate Function Call capability into its architecture. This establishes a seamless pipeline from  (599 words)
- [ZenMux Platform Analytics](/analytics/index.html) (140 words)
- [DeepSeek: DeepSeek V4 Flash (Free)](/deepseek/deepseek-v4-flash-free/index.html) (477 words)
- [OpenRouter API Pricing 2026: Full Breakdown of Rates, Tiers, and Usage Costs](/blog/openrouter-api-pricing-2026-full-breakdown-of-rates-tiers-and-usage-costs.html): Learn how OpenRouter prices its unified LLM gateway in 2026—covering platform fees, free‑tier limits, BYOK usage, and enterprise discounts. Discover how ZenMux provides an even more transparent billing system with precise per‑request itemization for AI‑driven workloads. (897 words)
- [DeepSeek: DeepSeek V4 Pro (Free)  Free    Rate Limit](/deepseek/deepseek-v4-pro-free/index.html) (709 words)
- [Models Now Live](/pricing/subscription/index.html) (1,052 words)
- [OpenAI: GPT-5.1 Chat](/openai/gpt-5-1-chat.html): GPT-5.1 Chat (AKA Instant is the fast, lightweight member of the 5.1 family, optimized for low-latency chat while retaining strong general intelligence. It uses adaptive reasoning to selectively “think” on harder queries, improving accuracy on math, coding, and multi-step tasks without slowing down typical conversations. The model is warmer and more conversational by default, with better instruction following and more stable short-form reasoning. GPT-5.1 Chat is designed for high-throughput, interactive workloads where responsiveness and consistency matter more than deep deliberation.
 (586 words)
- [AI, Simplified & Assured.](/aboutus/index.html): The Enterprise LLM Platform. Get a Unified API for all models, intelligent routing, and AI Model Insurance to eliminate hallucination risk. (306 words)
- [Z.AI: GLM 4.6V FlashX](/z-ai/glm-4-6v-flash.html): GLM-4.6V-FlashX is the the paid version, offering higher capacity and stability， representing a significant iteration in the GLM series for multimodal capabilities. It supports toggling reasoning modes, with a training-time context window expanded to 128k tokens. Achieving state-of-the-art (SOTA) visual understanding accuracy at its parameter scale, it is the first visual model to natively integrate Function Call capability into its architecture. This establishes a seamless pipeline from  (588 words)
- [计费透明度](/docs/zh/guide/observability/pricing-html.html): 计费透明度 (20 words)
- [Page Not Found](/api/v1/index.html) (7 words)
- [Zenmux Architecture Overview](/docs/sitemap-xml.html) (1 words)
- [Input Modalities](/models/index.html): The Enterprise LLM Platform. Get a Unified API for all models, intelligent routing, and AI Model Insurance to eliminate hallucination risk. (13,759 words)
- [ZenMux Benchmark](/benchmark/index.html): The Enterprise LLM Platform. Get a Unified API for all models, intelligent routing, and AI Model Insurance to eliminate hallucination risk. (1,249 words)

## Resources

- [Full Page Index](/index.html): Browse all cached pages with rich metadata
- [About This Cache](/content/about.html): Methodology, technical details, and usage guidelines
- [XML Sitemap](/content/sitemap.xml): Machine-readable sitemap for crawler discovery
- [Robots.txt](/content/robots.txt): Crawler directives