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DeepInfra vs Novita AI

A side-by-side comparison of DeepInfra and Novita AI, two Inference tools, drawn from Ignaite's continuously-verified listings.

Compared from listings verified as of

DeepInfra

Inference

Pay-as-you-go API access to open and proprietary AI models.

View DeepInfra

Novita AI

Inference

One API for many AI models, plus agent sandboxes and GPU cloud.

View Novita AI

At a glance

Feature comparison of DeepInfra and Novita AI
AttributeDeepInfraNovita AI
CategoryInferenceInference
PricingPAIDPAID
LicenseProprietaryProprietary
DeploymentCloudCloud
PlatformsAPI, WebAPI, Web
Model supportMulti-modelMulti-model
Vendor (differs)DeepInfraNovita AI
Capabilities (differs)
  • Model inference / serving
  • Multi-model access
  • Embeddings
  • Transcription (STT)
  • Speech synthesis (TTS)
  • Text-to-image
  • Sandboxed code execution
  • Multi-model access
  • Model inference / serving
  • GPU compute

The honest brief

DeepInfra

Among the lowest per-token prices of the hosted-inference providers, with optional dedicated GPU clusters from roughly $2/GPU-hour.

  • 100+ models behind one OpenAI-compatible API
  • Dedicated GPU clusters (DeepCluster) available
  • SOC 2 / ISO 27001, zero data retention
  • No hardware to manage
  • Pay-as-you-go only, no free tier
  • Skews toward open models
  • Not a fine-tuning-first platform

Novita AI

Pairs serverless model APIs with on-demand GPU instances and isolated agent sandboxes in one platform, so inference and the compute to run agents live together.

  • 120+ models behind one API
  • Text, image, audio, video, vision models
  • Low TTFT, startup-friendly pricing
  • Official Hugging Face inference partner
  • Usage-based, no standing free tier
  • Younger than top-tier clouds
  • Docs lighter than incumbents

When to pick which

We found no distinguishing difference between DeepInfra and Novita AI on the signals we track — pricing, license, platforms, and model support. Their capability lists differ only in recorded depth — compare them above. Pick on team fit.