Spanly VS Zhipu AI Open Platform
Spanly VS Zhipu AI Open Platform对比，Spanly 和 Zhipu AI Open Platform 有什么区别？
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总结
Spanly 总结
Soon, more agents than humans will use your product via MCP. Spanly gives you full observability on the MCP server you ship: error rates, session traces, latency, client analytics, deploy alerts. Drop-in CLI or SDK. US & EU data residency. Built for SaaS engineering teams shipping MCP in production, alongside the Datadog, Sentry, or New Relic you already run.
Spanly 着陆页
Zhipu AI Open Platform 总结
The Zhipu AI Open Platform is developed by Beijing Zhipu Huazhang Technology Co., Ltd. It is a leading open platform for large models in China. The platform has developed multiple LLM models and multimodal visual model products, aiming to combine AI product technology with industry scenarios to build a new AI development model and enterprise-level solutions with higher precision, efficiency, and generalization. The platform offers a free trial and has advantages such as rich resources, diverse models, and comprehensive functions, providing AI application services for various industries.
Zhipu AI Open Platform 着陆页
比较详细信息
Spanly 详细信息
| 类别 | 大语言模型 LLMs, AI监控, AI开发者工具 |
| Spanly 网站 | https://www.spanly.com?utm_source=toolify |
| 添加时间 | 2026年6月30日 |
| Spanly 定价 | -- |
Zhipu AI Open Platform 详细信息
| 类别 | 大语言模型 LLMs, 人工智能接口, AI模型, AI智能体, AI代码助手, AI图像生成器, AI 文字识别, AI语音识别, AI语音合成 |
| Zhipu AI Open Platform 网站 | https://bigmodel.cn?utm_source=toolify |
| 添加时间 | 2026年7月30日 |
| Zhipu AI Open Platform 定价 | -- |
使用情况比较
如何使用 Spanly？
To use Spanly, you can integrate it into your MCP server by dropping the open-source SDK into your TypeScript or Python code, wrapping your server binary using the Spanly CLI, or deploying it as a Docker sidecar. Once configured with your API key, it automatically captures and traces all MCP-shaped traffic, allowing you to view analytics, errors, and session traces directly via the web dashboard or from your IDE using Spanly's built-in MCP server.
如何使用 Zhipu AI Open Platform？
Create an account on the platform, log in to the console, and claim the available free token bonus. Then choose a model or tool from the model marketplace, experience center, or API documentation, obtain your API credentials, and call the service through the console or API. For advanced needs, you can fine-tune models, build knowledge bases, use agents and MCP services, or request cloud and on-premise private deployment solutions.
比较 Spanly 和 Zhipu AI Open Platform 的优势
Spanly的核心功能
- Protocol-aware tracing capturing full JSON-RPC payloads (arguments, results, errors)
- Real-time session tracking grouping requests end-to-end
- Comprehensive performance metrics broken down by p50, p95, and p99 durations
- Automated error tracking and grouping across servers and clients
- US & EU regional data residency options with GDPR-friendly architecture
- IDE integration allowing engineers to search traces and triage errors from tools like Claude Code or Cursor
Zhipu AI Open Platform的核心功能
- Large model API access with text, reasoning, and multimodal models
- Agent, MCP, knowledge base, and model fine-tuning workflows
- Speech, OCR, image generation, video generation, search, and embedding services
- Cloud private instances and on-premise enterprise deployment options
比较使用案例
Spanly的使用案例
- Monitoring production MCP server error rates and performance bottlenecks
- Debugging failing tool calls by inspecting full payload arguments and response details directly
- Tracking down bad deployments by splitting performance metrics out by server and client versions
- Correlating AI agent interactions and sessions across complex multi-turn tool calling workflows
Zhipu AI Open Platform的使用案例
- Build customer service chatbots and enterprise assistants
- Perform document OCR and structured data extraction
- Create multimodal visual coding or image/video understanding applications
- Add semantic search, reranking, and knowledge base Q&A to products
- Deploy private AI systems for sensitive business data
Spanly和Zhipu AI Open Platform的不同计划
Spanly
$0/mo
100,000 MCP requests included (soft cap with sampling). Includes 30 days data retention, 2 seats, and multi-region ingestion. Designed for teams evaluating Spanly on a single server.
$41/mo
Billed annually at $492. Includes 100,000 MCP requests (overage from $6.00/100k decreasing with volume), 90 days data retention, unlimited seats, up to 10 alert rules, and public dashboards.
$210/mo
Billed annually at $2,520. Includes 100,000 MCP requests (overage from $6.00/100k decreasing with volume), 12 months data retention, unlimited seats, up to 100 alert rules, public dashboards, SAML & OIDC single sign-on, audit logs, and priority support.
$125/mo
Locked for 12 months for the 2026 cohort. Includes 1,000,000 requests, all Business features, a direct Slack Connect channel with the founder, roadmap input, and early access to new features in exchange for a monthly feedback call.
Custom Pricing
For volumes above 30M requests/month. Offers a custom per-request rate below $5.00/100k, dedicated support, and custom retention configurations.
Zhipu AI Open Platform
Free
20 million free tokens + 120 image/video resource pack uses
Free
Public model inference
¥0.01 / time
Basic search tool service
¥0.04 / GB / hour
Pay-as-you-go knowledge base capacity expansion
¥5 / M Tokens
Flagship text model
¥0.5 / M Tokens
High-performance text model
¥4 / M Tokens
Image and video recognition model
¥0.06 / request
Image generation model
¥80 / M Tokens
Speech model
¥100 / GPU Unit / Day
Cloud private deployment
Spanly的流量
Spanly 是月访问量为 0 且平均访问时长为 00:00:00 的工具。 Spanly 的每次访问页数为 0.00，跳出率为 0.00%。
最新流量情况
| 月访问量 | 0 |
| 平均·访问时长 | 00:00:00 |
| 每次访问页数 | 0.00 |
| 跳出率 | 0.00% |
Zhipu AI Open Platform的流量
Zhipu AI Open Platform 是月访问量为 5.5M 且平均访问时长为 00:05:15 的工具。 Zhipu AI Open Platform 的每次访问页数为 6.65，跳出率为 33.63%。
最新流量情况
| 月访问量 | 5.5M |
| 平均·访问时长 | 00:05:15 |
| 每次访问页数 | 6.65 |
| 跳出率 | 33.63% |
地理位置
对不起，没有数据
地理位置
Zhipu AI Open Platform 的前 5 个国家/地区是：China 81.65%, United States 4.56%, Singapore 2.99%, Hong Kong, China 2.52%, Taiwan, China 1.76%
Top 5 国家/地区
 | 81.65% |
 | 4.56% |
 | 2.99% |
 | 2.52% |
 | 1.76% |
流量来源
Spanly 的 6 个主要流量来源是：邮件 0, vs_sourcesGenAi 0, 直接访问 0, vs_sourcesAffiliate 0, 外链引荐 0, vs_sourcesDisplayAds 0, vs_sourcesSearchPaid 0, vs_sourcesSocialPaid 0, vs_sourcesSearchOrganic 0, vs_sourcesSocialOrganic 0
邮件 | 0 |
vs_sourcesGenAi | 0 |
直接访问 | 0 |
vs_sourcesAffiliate | 0 |
外链引荐 | 0 |
vs_sourcesDisplayAds | 0 |
vs_sourcesSearchPaid | 0 |
vs_sourcesSocialPaid | 0 |
vs_sourcesSearchOrganic | 0 |
vs_sourcesSocialOrganic | 0 |
流量来源
Zhipu AI Open Platform 的 6 个主要流量来源是：直接访问 64.34%, vs_sourcesSearchOrganic 27.12%, 外链引荐 3.62%, vs_sourcesSearchPaid 1.97%, vs_sourcesSocialOrganic 1.41%, vs_sourcesGenAi 0.74%, vs_sourcesDisplayAds 0.47%, 邮件 0.28%, vs_sourcesSocialPaid 0.05%, vs_sourcesAffiliate 0.00%
直接访问 | 64.34% |
vs_sourcesSearchOrganic | 27.12% |
外链引荐 | 3.62% |
vs_sourcesSearchPaid | 1.97% |
vs_sourcesSocialOrganic | 1.41% |
vs_sourcesGenAi | 0.74% |
vs_sourcesDisplayAds | 0.47% |
邮件 | 0.28% |
vs_sourcesSocialPaid | 0.05% |
vs_sourcesAffiliate | 0.00% |
Spanly 或 Zhipu AI Open Platform哪个更好？
Zhipu AI Open Platform 可能比 Spanly 更受欢迎。如您所见，Spanly 每月有 0 次访问，而 Zhipu AI Open Platform 每月有 5.5M 次访问。 所以更多的人选择了Zhipu AI Open Platform。 因此，人们很可能会在社交平台上更多地推荐 Zhipu AI Open Platform。
Spanly 的平均访问持续时间为 00:00:00，而 Zhipu AI Open Platform 的平均访问持续时间为 00:05:15。 此外，Spanly 的每次访问页面为 0.00，跳出率为 0.00%。 Zhipu AI Open Platform 的每次访问页面为 6.65，跳出率为 33.63%。
Zhipu AI Open Platform 的主要用户是 China, United States, Singapore, Hong Kong, China, Taiwan, China，分布如下：81.65%, 4.56%, 2.99%, 2.52%, 1.76%。
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