Development & Code

DeepInfra

Cheap AI inference

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DeepInfra skips the free plan entirely. You pay from day one with their pay-as-you-go model.

Pricing swings wildly depending on what you're using. Text generation costs $0.05 to $0.80 per million input tokens. Output tokens run $0.20 to $2.56 per million. Images range from free to $20 per million characters — depends on your model choice. Video and speech synthesis follow similar token-based pricing.

You get over 100 models. Text generation. Image creation. Video processing. Speech synthesis. DeepInfra runs these on inference-optimized infrastructure in US data centers. They hold SOC 2 and ISO 27001 certifications and promise zero data retention.

A startup CTO building customer service chatbots could use GLM-4.7-Flash for quick responses while keeping costs predictable. Pay-as-you-go means no upfront commitments or long-term contracts.

DeepInfra scales to trillions of tokens — impressive until you realize most developers won't need that volume. It integrates with various AI model providers including Bria, PrunaAI, and deepseek-ai. Recent additions include GLM-5 and Kimi-K2.5.

No free tier creates a barrier for developers wanting to experiment before spending budget. You'll need to estimate costs upfront based on expected usage across different model types.

Frequently asked

7 questions

How much does it cost to run a chatbot on DeepInfra compared to other providers?

It's all about which model you pick and how much you use it. GLM-4.7-Flash runs about $0.05 per million input tokens -- but premium models? They'll hit $0.80. Here's the kicker: output tokens cost 4-5x more than inputs across most models. Since there's no free tier to test with, you'll need to crunch the numbers based on your daily conversation volume.

Can I switch between different AI models within the same DeepInfra project?

Absolutely! You've got 100+ models at your fingertips with the same account setup. Use a fast text model for quick replies, then switch to something beefier for complex stuff. Just remember -- each model's got different pricing, so your costs will jump around based on what you're calling.

Does DeepInfra store my API requests or model outputs?

Nope -- they promise zero data retention in their privacy policy. Your requests and responses don't stick around on their servers. They've got SOC 2 and ISO 27001 certifications too, which means they're required to handle data properly.

What happens if I go over budget with DeepInfra's pay-as-you-go pricing?

You'll keep getting charged since there's no free tier or built-in spending caps mentioned. You're on your own for monitoring usage -- maybe set up billing alerts through your payment method. The pay-as-you-go thing means costs can snowball fast if you're not watching them.

Which AI model providers does DeepInfra work with besides their own models?

They work with Bria for image stuff, PrunaAI for optimized models, and deepseek-ai for various AI tasks. Recent additions include GLM-5 and Kimi-K2.5 models. This gives you specialized options beyond what DeepInfra builds themselves.

How do I estimate DeepInfra costs before starting a project?

Count your expected daily API calls and multiply by token estimates for your models. Input tokens run $0.05-$0.80 per million, outputs cost $0.20-$2.56 per million. Image generation ranges from free to $20 per million characters. Start with cheaper models like GLM-4.7-Flash for testing -- then scale up.

Where are DeepInfra's servers located and does it matter for performance?

Their infrastructure's in US data centers on inference-optimized hardware. Building for US users? You'll get solid latency. International users might see slower response times compared to providers with global networks.