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AI/ML API

AI/ML API gives developers access to 100+ AI models with one API.

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What is AI/ML API?

AI/ML API cuts your model costs by making provider competition work for you: one API key gets you 400+ models from OpenAI, Anthropic, Meta, and others, with pricing up to 80% cheaper than going direct. Switch between GPT, Claude, or Llama with minimal code changes, test them in the AI Playground, then scale on usage-based pricing. The free tier has usage limits but works for testing and small projects. The trade-off is that you're routing through a third-party layer, so you depend on their reliability and might see slightly higher latency than calling OpenAI or Anthropic directly. It's for developers who want to experiment across models without juggling multiple API integrations, or who need to control costs on production workloads. If you need the absolute lowest latency or want direct provider support, go straight to the source.

Key features

Unified API access to 400+ AI models from multiple providers including OpenAI, Anthropic, Meta, and others

Model flexibility allowing developers to switch between different AI models with minimal code changes

Cost optimization with pricing up to 80% lower than direct provider APIs

AI Playground for testing and experimenting with different models before implementation

Low-latency infrastructure with high scalability for production workloads

Support for various model types including LLMs, vision models, and audio processing

Pros & cons

Advantages

  • Significant cost savings compared to using OpenAI or other providers directly
  • Single API integration reduces complexity of managing multiple provider integrations
  • Access to diverse model ecosystem enabling easy model switching and experimentation
  • AI Playground tool simplify testing and development workflow
  • Suitable for both simple applications and advanced machine learning projects

Limitations

  • As a third-party aggregator, service reliability depends on underlying provider APIs
  • May have limited support or documentation compared to using providers directly
  • Potential latency overhead from routing requests through an additional API layer

Use cases

Building cost-effective chatbots and conversational AI applications

Multi-model experimentation for finding best model-task combinations

Scaling AI applications while managing infrastructure and API costs

Vision and audio processing applications requiring different specialise models

Developing AI products without committing to a single model provider

Ready to try AI/ML API?

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Pricing

Free

Free

Access to multiple AI models with usage limits, suitable for testing and small projects

Paid Plans

Usage-based pricing

Pay-as-you-go model pricing for production use, cost advantages vs. direct provider APIs, higher rate limits and priority support

Get started with AI/ML API

Click through to AI/ML API and start using it now.

Try AI/ML API free
  • Free plan available
  • No credit card