302.AI
A pay-as-you-go enterprise AI platform for unified model APIs, online AI apps, team sharing, and open-source app deployment.
About 302.AI
302.AI is an enterprise AI resource platform that combines a broad API market with ready-to-use online AI applications. Its official positioning is pay-as-you-go access to language, image, video, audio, search, RAG, and tools APIs from many model providers, plus an App Store-style layer for people who want to use AI without building an integration first. The platform is best for teams that need to experiment across many models, centralize prepaid usage, and share configured AI tools with teammates or customers. It is less compelling if you only need one provider's native account, must negotiate direct vendor SLAs, or require audited compliance documentation before any trial. Buyers should treat 302.AI as a broad AI access layer: strong for discovery, prototyping, internal enablement, and mixed-media AI workflows, but still worth comparing against direct provider accounts, API routers, and self-hosted options for production-critical workloads.
Best for
Best use cases
Building a prototype that needs OpenAI, Anthropic, Gemini, image generation, and video generation APIs before the final model mix is known.
Rolling out shared internal AI tools where one manager configures services, usage limits, and links for multiple teammates.
Comparing model costs for a summarization or document-analysis workflow with the token calculator before production traffic starts.
Adding AI media generation to a campaign pipeline and paying only for the video seconds, image calls, or audio characters actually used.
Testing a private-deployment or self-hosted app route for a sensitive enterprise workflow before adopting a larger AI stack.
Compare before choosing
Compare with direct provider accounts when you need the lowest possible vendor-specific pricing, native feature parity, or direct enterprise contracts.
Compare with OpenRouter or similar API routers when your main need is LLM routing rather than online apps, open-source app templates, and admin sharing.
Compare with individual no-code AI tools when the team wants a single finished workflow instead of a broad model/API marketplace.
Compare with self-hosted open-source stacks when data residency, full infrastructure control, or custom compliance evidence is the deciding factor.
Features
Unified AI API marketplace
Access many model families and API categories from one platform, including LLMs, image generation, image processing, video, audio, data processing, RAG, and tools APIs.
Ready-to-use AI applications
Use online apps for common AI tasks when a team wants immediate workflows before building custom software around the APIs.
Usage-based billing
Recharge a balance and pay by the relevant usage unit, such as tokens, calls, seconds, or characters, instead of buying a monthly package.
Cost estimation tools
The official token calculator explains input/output token pricing and helps compare model costs before production usage.
Manager and user separation
Admins can configure AI services, roles, limits, and sharing links while end users interact with the generated tools or apps.
Open-source app ecosystem
302.AI maintains open-source app projects and describes customization and deployment paths for teams that want more control.
Developer documentation
API documentation covers model endpoints, admin dashboard operations, API key management, billing records, and integration examples.
Enterprise deployment signals
Official pages reference enterprise-grade stability, private deployment support, multi-user sharing, and bulk-order contact paths.
Pros
- Broad model and API coverage reduces the setup work needed to test multiple AI providers.
- Pay-as-you-go billing is practical for experiments, intermittent usage, and teams avoiding fixed subscriptions.
- Online apps and API access make the platform useful for both non-developers and developers.
- Management and use are separated, which helps one AI owner configure tools for many users.
- Open-source app projects create a path for customization beyond hosted use.
Cons
- Pricing varies by model and unit, so teams still need to estimate real workload cost before adoption.
- Direct provider accounts may offer more native controls, enterprise terms, or fastest access to provider-specific features.
- Security claims are mostly described in FAQ/help material; buyers with strict compliance needs should request formal documents.
- The product surface is broad, which can create evaluation overhead for teams seeking one narrow workflow.
- Some advanced deployment or bulk-order details require contacting 302.AI rather than relying only on public pages.
Pricing Plans
Pay-as-you-go balance
- No monthly package
- Recharge first, then deduct by actual usage
- Use one balance across available AI products
- Good for trials and variable workloads
API usage
- LLM input and output token pricing
- Image, video, audio, search, RAG, and tools APIs
- API key management and billing records
- Model-specific public price pages
* Pricing information is for reference only. Please refer to the latest announcement on 302.AI's official website.