Running AI models in production doesn’t have to mean managing servers, GPUs, or complicated infrastructure. Today’s inference platforms handle all of that for you, so you can spend more time building your application and less time worrying about deployment.

While Modal is a popular option, it isn’t the right fit for every project. Some platforms focus on lower costs, others on global deployment, and some offer extra features like voice AI or support for open-source models.

In this guide, we’ll compare three of the best Modal alternatives in 2026: Telnyx, Baseten, and Together AI, so you can find the one that best fits your workflow.

What Makes a Good Modal Alternative?

The right platform depends on what you’re building, but there are a few things that matter for almost every project.

• Easy to Get Started

A good platform should let you deploy models quickly without spending hours setting up infrastructure or managing GPUs.

• Fast and Reliable

Whether you’re building AI agents, chatbots, or other applications, you want responses to be fast and consistent.

• Works With Your Existing Setup

The easier it is to plug into your current workflow, the better. Features like OpenAI-compatible APIs can save a lot of development time.

• Fair Pricing

Inference costs can grow quickly, especially as your app gets more users. Clear pricing makes it much easier to plan ahead.

• Built for Growth

As your application scales, your inference platform should be able to keep up without adding extra work on your end.

Telnyx

If you’re looking for an easy way to run AI models without worrying about managing GPUs, Telnyx is a great option. It gives you access to ready-to-use inference APIs that run on its own global GPU infrastructure, so you can start building without dealing with the backend setup.

One of the things we like most is how easy it is to switch from OpenAI. Telnyx uses OpenAI-compatible APIs, which means you can often keep your existing code and simply update the base URL instead of rebuilding your integration from scratch.

Another big advantage is that Telnyx offers more than just inference. It also includes voice AI, speech services, and telephony on the same platform. If you’re building AI agents that need to talk to users over phone calls or messaging, having everything in one place can make your workflow much simpler.

Telnyx also keeps pricing straightforward. Since it runs open-weight models on its own infrastructure, there are no cloud provider markups, and pricing starts at $0.21 per million tokens.

Highlights

• OpenAI-compatible inference API
• Global deployment across multiple regions
• Automatic scaling as your workload grows
• Function calling and structured outputs
• Fine-tuning support
• Voice AI, speech, and communications on one platform
• Pricing starts at $0.21 per million tokens

Things We Like

• Easy to switch from OpenAI
• No GPU infrastructure to manage
• Global deployment helps reduce latency
• Voice AI and inference on the same platform
• Simple, transparent pricing

Baseten

If you’re building your own AI models and want an easy way to get them into production, Baseten is a strong choice. It’s designed to help developers deploy, manage, and scale custom models without having to build their own infrastructure.

One thing that makes Baseten popular is its flexibility. It supports a wide range of open-source models, and if you’ve trained your own model, you can deploy it through the same platform.

Baseten also includes tools for monitoring your deployments, scaling automatically as demand grows, and managing different model versions. That makes it a good fit for teams building AI applications that need to stay reliable as they grow.

Highlights

• Deploy custom AI models
• Automatic scaling
• Model monitoring and logging
• Version management
• API endpoints for production deployments

Things We Like

• Great for custom model deployments
• Easy to scale as traffic grows
• Helpful monitoring tools
• Built for production workloads

Keep in Mind

• Better suited for teams deploying their own models than those looking for ready-to-use hosted models
• Doesn’t include built-in communications features like voice AI or telephony

Together AI

Together AI is a good option if you want access to a large selection of open-source AI models through a single platform. Instead of hosting models yourself, you can use serverless inference APIs to start building quickly.

It supports many popular open-source language models and also gives developers the option to create dedicated deployments for more consistent performance when needed.

Another nice feature is that Together AI supports fine-tuning for selected models, making it easier to adapt them to your own applications without managing the underlying infrastructure yourself.

Highlights

• Large collection of open-source models
• Serverless inference API
• Dedicated deployments available
• Fine-tuning for supported models
• OpenAI-compatible API

Things We Like

• Wide selection of models
• Easy to get started
• Dedicated endpoints for larger workloads
• Good option for developers working with open-source AI

Keep in Mind

• Managing model selection can be overwhelming if you’re new to AI development
• Doesn’t include communications services like voice AI or telephony

Which One Is Right for You?

All three platforms can help you run AI models without worrying about infrastructure, so there’s no wrong choice here.

The biggest difference is what each platform is built for. Baseten is a great fit if you’re deploying your own models, while Together AI gives you access to a huge range of open-source models.

For teams that want a little bit of everything, Telnyx is hard to beat. It combines global inference, automatic scaling, voice AI, and communications services on one platform, making it easy to build and grow AI applications without piecing together multiple tools.