Like most standalone AI tools, Stepfun AI has its strengths. But teams using it often find themselves switching between tabs to get work done.
You have to copy-paste context from your project plan into the AI, then bring the results back into your task list. The result? You lose valuable time and focus with every switch.
ClickUp research found that 42% of disruptions at work come from juggling platforms, managing emails, and jumping between meetings. If you’re here, you’ve likely also realized that tools that remain isolated from your work only increase overhead.
So, if your team is looking for AI tools to help you move faster, this guide will walk you through 10 practical Stepfun AI alternatives, from open-source models for developers to a Converged AI Workspace—a consolidated platform with AI embedded as the intelligence layer to understand your work. (Spoiler alert: It’s ClickUp)
Summarize this article for me pleaseTop Stepfun AI Alternatives at a Glance
| Tool | Best for | Best features | Pricing* |
| ClickUp | Teams wanting AI embedded in daily work management | ClickUp Brain, ClickUp Automations, ClickUp Docs, 15+ views | Free plan available; customizations available for enterprises |
| DeepSeek | Developers needing open-source reasoning models | DeepSeek-R1, open-source weights, coding capabilities | API-based pricing |
| Qwen | Multilingual teams needing Chinese/English AI | Qwen2.5 models, multimodal support, long context | Open-source; cloud API available |
| Zhipu AI | Chinese enterprises needing compliant AI | GLM-4 series, enterprise API, Document delivery | Enterprise pricing |
| Minimax | Creative teams focused on AI-voice and content-generation | Hailuo 2.3 video engine, Speech 2.8, conversational AI | API-based pricing |
| Moonshot | Teams needing long context for document analysis | Kimi assistant, million-token context windows, Document processing | Free and paid tiers |
| Baichuan | Chinese enterprises needing localized LLMs | Baichuan models, enterprise deployment, Adaptive hallucination | Enterprise pricing |
| ModelBest | Researchers exploring efficient small models | MiniCPM family, edge deployment, open-source | Open-source |
| Infinigence AI | Teams requiring optimized inference | Inference optimization, Omni model, FlashDecoding++ engine | Custom pricing |
| Notion AI | Teams already using Notion | Q&A over workspace, writing assistance, autofill | Add-on or included in paid plans |
Summarize this article for me pleaseWhy Go For Stepfun AI Alternatives
While Stepfun shows impressive video-generation capabilities and competitive pricing in its home market, you may find yourself looking for an alternative. This often happens when practical roadblocks trigger Work Sprawl. This forces your team to manage scattered tools that don’t talk to each other, instead of completing their actual work.
Standalone AI models require technical know-how to implement, turning a simple need for AI assistance into a full-blown development project. If your teams lack dedicated developers, this creates a significant barrier. You shouldn’t have to build a bridge just to use your tools; you need AI that helps you work faster without making your tool stack complex.
The right alternative depends on your technical setup:
- If you’re a developer comfortable with APIs and want to build custom applications, an open-source model like DeepSeek or Qwen could be ideal
- If you’re a team that just wants to get work done faster, a converged workspace with built-in AI will eliminate the integration headache and let you focus on work
📮ClickUp Insight: Low-performing teams are 4 times more likely to juggle 15+ tools, while high-performing teams maintain efficiency by limiting their toolkit to 9 or fewer platforms. But how about using one platform?
As the everything app for work, ClickUp brings your tasks, projects, docs, wikis, chat, and calls under a single platform, complete with AI-powered workflows. Ready to work smarter? ClickUp works for every team, makes work visible, and allows you to focus on what matters while AI handles the rest.
Summarize this article for me pleaseThe Best Stepfun AI Alternatives to Use
How we review software at ClickUp
Our editorial team follows a transparent, research-backed, and vendor-neutral process, so you can trust that our recommendations are based on real product value.
Here’s a detailed rundown of how we review software at ClickUp.
We’ve analyzed the top contenders based on how they solve real-world bottlenecks, from infrastructure efficiency to long-context research, to help you find the tool that fits your specific tech stack.
Here are our top recommendations:
1. ClickUp (Best for teams that want AI embedded in daily work without technical setup)
Stepfun AI alternatives are generally raw models that require you to build an interface around them. ClickUp flips this by making AI a native teammate within the tools you already use. It’s a Converged AI Workspace that brings your tasks, projects, docs, and team chat under one roof. ClickUp’s native AI layer sits on top of all this context and truly understands your work.
Context-aware AI that lives where you work
Need AI to work in the same tab where you’re drafting a doc or updating a task status?
ClickUp Brain lets you do that, as the world’s most complete and context-aware AI assistant. Because it lives on top of your actual project data, it can summarize a month’s worth of task updates or draft a project brief using your team’s specific history, without copy-pasting context.
You can even access leading AI engines (like ChatGPT, Claude, Gemini, and others) from right within ClickUp.This way, you get the best possible answers or drafts for your needs without subscribing to separate services.
This eliminates AI Sprawl, where you have to bring in multiple AI tools for different types of tasks.
💡 Pro Tip: Want an AI tool that unifies context not just inside ClickUp but also from your other work apps like Google Drive, HubSpot, Figma, etc.? Try Brain MAX. This AI desktop Super App lets you search across your ClickUp workspace and other connected apps from one place. You can also use the built-in Talk to Text feature to dictate your tasks, notes, and docs—4x faster than typing!
Agents that own workflows end-to-end
Instead of hiring a developer to integrate AI into your workflow, ClickUp uses Super Agents to ease the workload. These are AI teammates you can assign to tasks or trigger through no-code automations to triage work, monitor blockers, and generate reports.
They handle complex work end-to-end without you needing to direct them. And they work 24/7, so you don’t have to. This makes ClickUp the only Stepfun AI alternative that transforms AI from a creative experiment into an automated engine for your actual day-to-day work.
🎥 Learn more about how they work, in this quick explainer video:
ClickUp best features
- ClickUp Automations: Build custom automation rules without writing a single line of code using the ClickUp AI Automation Builder
- ClickUp Docs: Create and collaborate on project plans, meeting notes, and wikis directly within your workspace, allowing you to embed live tasks and use AI to edit content in real-time
- ClickUp Tasks: Organize work with Custom Statuses, nested subtasks, and task dependencies to ensure every project stays on schedule and team members know exactly what to do next
- ClickUp Views: Visualize your work in over 15 different ways, including the ClickUp List view, ClickUp Board view, ClickUp Calendar, and ClickUp Gantt view, allowing every department to see the same data through their preferred lens
ClickUp pros and cons
Pros:
- AI that understands your work context: Unlike standalone models, ClickUp Brain has access to your workspace, so it can give you accurate answers about your specific ClickUp Projects and tasks
- Eliminates tool sprawl: By combining project management, docs, ClickUp Chat, and AI in one place, you eliminate tool sprawl—the constant switching between apps that kills focus and creates information silos
- Highly customizable without technical expertise: You can adapt ClickUp to your team’s exact needs using ClickUp Custom Fields, Automations, and ClickUp Templates without needing a developer
Cons:
- The sheer number of features can feel overwhelming for new users, so it’s best to start with a template and explore from there
- The mobile app is powerful, but doesn’t have the full range of features available on the desktop version
- Setting up highly complex, multi-step automations can take some time to get just right
ClickUp pricing
free forever
Best for individual users
Free Free
Key Features:
60MB Storage
Unlimited Tasks
Unlimited Free Plan Members
unlimited
Best for small teams
$7 $10
Everything in Free +
Unlimited Storage
Unlimited Folders and Spaces
Unlimited Integrations
business
Best for mid-sized teams
$12 $19
Everything in Unlimited +
Google SSO
Unlimited Message History
Unlimited Mind Maps
enterprise
Best for many large teams
Get a custom demo and see how ClickUp aligns with your goals.
Everything in Business +
White Labeling
Conditional Logic in Forms
Subtasks in Multiple Lists
* Prices when billed annually
The world's most complete work AI, starting at $9 per month
ClickUp Brain is a no Brainer. One AI to manage your work, at a fraction of the cost.
ClickUp ratings and reviews
- G2: 4.7/5 (11,000+ reviews)
- Capterra: 4.6/5 (4,500+ reviews)
What are real-life users saying about ClickUp?
Feedback from a G2 user:
👀 Did You Know? The average company uses 101 applications to get work done! This is the root cause of tool sprawl.
2. DeepSeek (Best for developers needing open-source reasoning models at lower cost)
If you’re a developer, your frustration with AI models is different. You’re likely tired of expensive, restrictive APIs that don’t give you the control you need. DeepSeek addresses this pain point directly.
While Stepfun focuses on cinematic video generation, DeepSeek focuses on high-performance technical reasoning and code generation. By releasing its model weights publicly, it allows you to bypass restrictive cloud APIs and run the intelligence on your own infrastructure.
This gives you the freedom to inspect the model, modify it for your needs, and avoid unpredictable API costs. These capabilities also make it an ideal Hugging Face competitor.
DeepSeek best features
- DeepSeek-R1 reasoning model: This model is specifically designed for complex reasoning, excelling at math problems, code generation, and logical analysis
- Open-source weights: DeepSeek releases its model weights, allowing you to download and run them on your own hardware for full control and cost efficiency
- Strong coding capabilities: The models perform well on coding benchmarks, making them useful for code completion, debugging, and boilerplate generation
DeepSeek pros and cons
Pros:
- Cost efficiency: Running inference locally eliminates per-query API charges, which is a huge saving for high-volume applications
- Data privacy: Air-gapping the model ensures your proprietary code never leaves your internal environment
- High technical accuracy: Consistently matches frontier models in coding benchmarks and logical reasoning
Cons:
- Requires significant technical expertise to deploy and manage, making it unsuitable for non-technical teams
- Documentation and support are less mature than what you’d find from established Western providers
- Running the models locally requires a powerful GPU setup
DeepSeek pricing
API based pricing:
- 1M input tokens (cache hit): $0.028
- 1M input tokens (cache miss): $0.28
- 1M output tokens: $0.42
DeepSeek ratings and reviews
- G2: Not enough reviews
- Capterra: Not enough reviews
- Trustpilot: 2.3/5 (110+ reviews)
What are real-life users saying about DeepSeek?
A Trustpilot user gave mixed feedback:
3. Qwen (Best for multilingual teams needing strong Chinese and English AI performance)
Fragmented AI tools often disappoint if your team operates in both Western and Chinese markets. They lead to inconsistent quality, duplicated efforts, and a clunky workflow. This is a common challenge for global teams that need a truly bilingual AI, not one that offers only mediocre translation.
Qwen, Alibaba Cloud’s large language model family, is a capable open-source option for such teams. Unlike Stepfun’s focus on video, Qwen excels in text understanding, code generation, and multimodal tasks that combine text and image processing.
With Qwen, you can analyze a business document written in Chinese and ask follow-up questions in English without losing context. The open-weights release also means you can deploy it on your own infrastructure for maximum control.
Qwen best features
- Native Multimodal Agent (Qwen3-VL): Go beyond simple image recognition to act as a visual agent that can operate PC or mobile GUIs to complete tasks autonomously
- Qwen3-Coder-Next model: Balance slow, careful reasoning with fast execution, rivaling frontier models in multi-turn software engineering tasks
- Long context windows: Get a native context window of 256K tokens (expandable to 1M), allowing it to ingest entire textbooks or multi-hour videos and retrieve specific details
Qwen pros and cons
Pros:
- Strong multilingual performance: It’s optimized for both Chinese and English, providing consistent quality across languages
- Open-source flexibility: You can deploy the models locally for better control and to avoid API dependency
- Backed by a major cloud provider: Alibaba Cloud’s involvement ensures continued development and enterprise support options
Cons:
- Using the managed API from outside China may introduce latency or data compliance issues for some teams
- Some documentation may be primarily in Chinese, requiring translation
- Enterprise-level support is more established for the Chinese market
Qwen pricing
- Qwen-Max: $6
- Qwen-Plus: $1.2
- Qwen-Flash: $0.4
- Qwen-Coder: $1.5
*Note: These prices are calculated per 1 million tokens processed
Qwen ratings and reviews
- G2: Not enough reviews
- Capterra: Not enough reviews
- Trustpilot: Not enough reviews
What are real-life users saying about Qwen?
A Capterra user posted their experience:
👀 Did You Know? Current generative AI and other technologies have the potential to automate work activities that absorb 60% to 70% of employees’ time today.
4. Zhipu AI (Best for Chinese enterprises needing production-ready AI with local compliance)
Unlike Stepfun’s creative focus, Zhipu is all about enterprise applications: conversational AI, knowledge management, and business automation, all optimized for the nuances of the Chinese language.
If your enterprise operates in China, you face a maze of compliance regulations, data residency laws, and limited local support. Using a model hosted outside the country can be a non-starter, leaving your team without the AI tools they need to stay competitive.
Zhipu AI is designed for this exact scenario. Spun out of Tsinghua University, it powers ChatGLM, one of China’s most popular conversational AI systems. It provides production-ready AI compliant with the Chinese AI program, along with the local support infrastructure businesses require.
Zhipu AI best features
- GLM-4 model series: Zhipu’s latest models offer strong performance on Chinese language tasks, reasoning, and code generation
- Enterprise API with SLAs: Provides enterprise-grade API access with uptime guarantees and dedicated support for regulated industries
- End-to-end document delivery: Native ability to turn raw prompts or data into formatted .docx, .pdf, and .xlsx files, making it a functional tool for generating files
Zhipu AI pros and cons
Pros:
- Production-ready for the Chinese market: Comes with local data residency and compliance certifications needed for Chinese enterprises
- Strong conversational AI: ChatGLM has been refined through extensive user feedback, resulting in natural and effective dialogue
- Enterprise support and customization: Offers fine-tuning services and dedicated deployment options that open-source models lack
Cons:
- Primarily focused on the Chinese market, making it less accessible for international teams
- Enterprise pricing requires engaging with a sales team, which is less transparent than self-serve APIs
- Less suitable for teams working mainly in English or other languages
Zhipu AI pricing
- Custom pricing
Zhipu AI ratings and reviews
- G2: Not enough reviews
- Capterra: Not enough reviews
- TrustPilot: Not enough reviews
5. Minimax (Best for creative teams focused on AI-generated content and voice)
Minimax is the primary creative rival to Stepfun, shifting the focus from raw text reasoning to high-end multimedia production. Their technology powers the popular app Talkie, which lets users interact with AI characters, demonstrating their ability to maintain personality and context over long conversations.
It centres itself on the agent universe—a space where AI writes scripts and generates the natural-sounding audio and physics-based video to match.
Minimax best features
- Hailuo 2.3 video engine: Uses a specialized physics simulation to handle realistic lighting, fluid dynamics, and complex micro-expressions, improving the generated clips
- MiniMax Speech 2.8: Its text-to-speech generation produces high-quality, natural-sounding speech in multiple styles, perfect for voiceovers and audio content
- Conversational AI with character consistency: The models are designed to maintain a consistent personality, enabling applications like AI companions or interactive story characters
Minimax pros and cons
Pros:
- Strong voice and audio capabilities: The text-to-speech quality is suitable for production-level content
- Character-driven conversation: The ability to maintain a consistent persona enables unique applications that generic chatbots can’t handle
- Consumer app validation: The success of their Talkie app proves their technology works in the real world
Cons:
- Its narrow focus makes it less suitable for analytical or coding tasks
- API documentation and developer resources may not be as comprehensive as larger providers
- The primary market focus is China, so international support may be limited
Minimax pricing
- Starter: $10/month
- Plus: $20/month
- Max: $50/month
Minimax ratings and reviews
- G2: Not enough reviews
- Capterra: Not enough reviews
- TrustPilot: Not enough reviews
6. Moonshot (Best for teams needing extremely long context for document analysis)
Often, large language models have a limited context window, meaning they can only remember a few pages of text at a time. This forces you to break your document into pieces, feed it to the AI one by one, and then stitch the answers together. We don’t need to tell you how frustrating and error-prone this process can be. And you probably agree: it defeats the purpose of using AI in the first place.
Moonshot AI, another Chinese AI offering, made waves by offering long context windows that can handle millions of tokens, which is equivalent to thousands of pages. With their Kimi chat assistant, you can upload an entire book and ask detailed questions that require understanding the full text from start to finish.
Moonshot best features
- Extremely long context windows: Process documents with millions of tokens, allowing for analysis of entire books or massive codebases in a single query
- Kimi chat assistant: A polished interface optimized for document analysis and research, where you can upload files and interact with them conversationally
- Document processing capabilities: Built-in support for various file formats with features designed for professional knowledge work
Moonshot pros and cons
Pros:
- Unmatched context length: Eliminates the need for chunking or summarizing long documents, which often leads to lost information
- Research-focused design: It’s particularly well-suited for knowledge workers, researchers, and analysts
- Practical document workflow: The features are built around real-world document analysis needs
Cons:
- Its specialized focus makes it less ideal for creative generation or coding tasks
- It’s primarily available in the Chinese market, so international access can be limited
- Processing extremely long documents can be slower than standard queries
Moonshot pricing
- Custom pricing
Moonshot ratings and reviews
- G2: Not enough reviews
- Capterra: Not enough reviews
- Trustpilot: Not enough reviews
What are real-life users saying about Moonshot?
A G2 user reviewed Moonshot:
7. Baichuan (Best for Chinese enterprises needing localized LLM deployment)
Do you need a model that understands local business terminology, complies with data residency laws, and includes enterprise-level support? Baichuan Intelligence, a major Chinese search engine, can help!
The company focuses on building LLMs optimized for practical Chinese enterprise use cases, such as customer service, knowledge management, and internal search.
Unlike Stepfun’s creative tools, it offers deployment options and compliance features designed for companies operating in China, making it a reliable choice for enterprises that need a localized, supported AI solution.
Baichuan best features
- Baichuan-M3 medical reasoning: A specialized vertical model that outperforms human physicians in clinical inquiry and diagnostic accuracy
- Hybrid Cloud Deployment (InfiniCore): Allows enterprises to deploy models across on-premise servers and private clouds
- Adaptive Hallucination Suppression: Features a native, low-hallucination architecture that internally verifies facts without relying on external patches
Baichuan pros and cons
Pros:
- Enterprise-ready infrastructure: Provides deployment options and support structures designed for Chinese business needs
- Superior Chinese language optimization: Performs better on domain-specific tasks than general multilingual models
- Practical business focus: Features are oriented toward solving real enterprise problems
Cons:
- Limited relevance for teams working primarily outside of China
- Less community support compared to more internationally known alternatives
- Enterprise pricing requires direct engagement with a sales team
Baichuan pricing
- API based pricing in CNY
Baichuan ratings and reviews
- G2: Not enough reviews
- Capterra: Not enough reviews
- TrustPilot: Not enough reviews
8. ModelBest (Best for researchers exploring efficient small language models)
👀 Did You Know? ClickUp’s AI maturity survey shows that access to AI at work is still limited—36% of people have no access at all, and only 14% say most employees can actually experiment with it.
If the massive size and cost of frontier models make AI experimentation impossible for you, you’re not alone. Whether you’re building a native chatbot or deploying AI on an edge device like a mobile phone, ModelBest offers a solution with its MiniCPM model family.
This research-focused organization focuses on improving smaller language models. They are efficient enough to run on consumer-grade hardware, which opens up a world of possibilities for teams without massive budgets.
ModelBest proves that you don’t always need the biggest model to get the job done, making it a great open-source alternative for researchers and developers interested in efficient AI.
ModelBest best features
- MiniCPM model family: A series of efficient, small language models that require far fewer resources than their larger counterparts
- Open-source focus: The models, training code, and research are all publicly available, encouraging community collaboration
- Edge deployment capability: The models are small enough to run on mobile devices or other edge deployment hardware, enabling offline AI and low-latency applications
ModelBest pros and cons
Pros:
- Resource efficiency: You can run capable AI models on modest hardware without expensive infrastructure
- Research transparency: The open-source approach allows for deep inspection and academic study of the models
- Edge deployment options: Perfect for applications that need to run locally without a cloud connection
Cons:
- Smaller models have limitations and are not suitable for the most complex reasoning tasks
- It’s a research-oriented organization with less enterprise support than commercial providers
- Documentation is aimed at a technical audience
ModelBest pricing
- Custom pricing
ModelBest ratings and reviews
- G2: Not enough reviews
- Capterra: Not enough reviews
- TrustPilot: Not enough reviews
9. Infinigence AI (Best for teams requiring optimized AI inference and edge deployment)
Infinigence AI focuses on the infrastructure layer of the AI stack, addressing how to run high-performance models at a fraction of their usual cost. Their optimization techniques can dramatically reduce cloud computing costs and improve latency, making real-time AI applications feasible.
It’s a suitable choice for technical teams who are struggling with the operational side of AI deployment.
Infinigence AI best features
- MxN heterogeneous infrastructure: A specialized computing paradigm that allows a single AI task to run across diverse chip types simultaneously
- Infini-Megrez-Omni model: A 3B parameter on-device model that achieves state-of-the-art accuracy in image and audio understanding
- FlashDecoding++ engine: Provides up to 3x speedups for LLM decoding, allowing for real-time responsiveness in conversational applications
Infinigence AI pros and cons
Pros:
- Cost reduction: Optimized inference can lead to significant savings on cloud bills for high-volume applications
- Latency improvement: Faster responses enable real-time use cases that would otherwise be impossible
- Deployment flexibility: Edge optimization allows AI to run in environments without a reliable internet connection
Cons:
- It’s not a complete solution; you need to bring your own AI model and have the technical expertise to implement it
- The results of optimization can vary depending on the model and use case
- It’s less relevant for teams whose primary need is better AI capabilities, not better deployment efficiency
Infinigence AI pricing
- Custom pricing
Infinigence AI ratings and reviews
- G2: Not enough reviews
- Capterra: Not enough reviews
- TrustPilot: Not enough reviews
10. Notion AI (Best for teams already using Notion who want integrated AI assistance)
Notion AI embeds AI assistance directly into the workspace you already use for your documents, meeting notes, and project plans. There are no new tools to learn or integrations to set up. The AI is right there in the interface, ready to help you write, summarize, and find information within your Notion pages.
This means you skip the integration work required by standalone models. The trade-off? You’re locked into the Notion ecosystem. And, if your work spans multiple platforms, Notion AI’s context is limited to what’s within Notion (unlike an alternative like ClickUp, where Brain MAX brings multi-app context into one place!).
Notion AI best features
- Q&A over your workspace: Ask questions and get answers sourced directly from your Notion pages and databases
- Writing assistance: Draft, edit, and summarize content directly within a Notion page without switching to another tool
- Autofill properties: Automatically populate database fields based on the content of a page, which helps reduce manual data entry
Notion AI pros and cons
Pros:
- No integration required: The AI works out of the box if you’re already a Notion user
- Context-aware responses: Answers are relevant because they are drawn from your actual documents
- Seamless workflow: AI assistance is available right where you’re already working
Cons:
- It’s limited to the Notion ecosystem and can’t access information from other tools
- The AI capabilities are focused on writing and knowledge retrieval, not complex reasoning or generation
Notion pricing
- Free plan: Limited AI trial
- Plus: $12/month per person + limited AI trial
- Business: $24/month per person
- Enterprise: Custom pricing
Notion AI ratings and reviews
- G2: 4.6/5 (10,000+ reviews)
- Capterra: 4.7/5 (2500+ reviews)
- TrustPilot: 2.5/5 (200+ reviews)
What are real-life users saying about Notion AI?
A Capterra user shared their experience:
Summarize this article for me pleaseChoose the Right AI for Your Actual Workflow
Choosing a Stepfun AI alternative isn’t about finding the “best” model on a leaderboard. It’s about picking the right tool for the job your team needs to do. The options fall into a few clear categories.
- For developers: If you have a technical team and want to build custom AI applications, open-source models like DeepSeek, Qwen, and ModelBest offer incredible flexibility and cost control
- For Chinese enterprises: If you’re operating in China, providers like Zhipu AI and Baichuan offer localized, compliant solutions with the enterprise support you need
- For specialized tasks: If you have a specific need, like generating voice content or analyzing massive documents, specialized tools like Minimax and Moonshot are built for those exact use cases
However, if your team doesn’t want to become AI experts, we have another solution. The problem with standalone AI models is that they create more work—you have to manage another tool, feed it context, and manually move information back and forth. A Converged AI Workspace with native AI solves this problem.
AI embedded in your daily tools, which already understands your projects, documents, and workflows, helps you work faster without overhead. Instead of creating more work, it starts handling tasks for you.
Get started for free with ClickUp to see how embedded, contextual AI can speed up your work.
Summarize this article for me pleaseFrequently Asked Questions (FAQs)
What is Stepfun AI and why are teams looking for alternatives?
Stepfun AI is a Chinese artificial intelligence company specializing in video generation and large language models. Teams often seek alternatives due to access limitations outside of China, the need for different AI capabilities like text reasoning, or data residency requirements.
How do AI model providers like DeepSeek differ from AI-powered work platforms like ClickUp?
AI model providers offer foundation models through an API that developers use to build custom applications. AI-powered work platforms like ClickUp embed AI directly into productivity tools, giving you assistance within your workflow without any technical integration.
Can teams outside China effectively use Chinese AI alternatives like Qwen or Zhipu?
It depends. Open-source models like Qwen and DeepSeek can be downloaded and run on your own infrastructure anywhere. However, cloud APIs from Chinese providers may have latency, compliance, or access issues for international teams, so you should check their data residency and support policies for your region.
Which Stepfun AI alternative is best for teams that want AI without technical complexity?
For non-technical teams, ClickUp is the strongest option because ClickUp provides AI assistance directly within your workspace. There’s no need for API integration or prompt engineering, so you get context-aware AI that understands your work without having to build anything yourself.
Everything you need to stay organized and get work done.
