AI Infrastructure & MLOps Paid

DeepInfra

Usage-based inference cloud for open models, private deployments, and GPU clusters

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PricingPaid
Starting price$0.019/1M input tokens
Free planUnknown
Free trialYes
APIYes
Open sourceNo
DeploymentCloud
Last verifiedAugust 1, 2026
Overview

Tool overview

DeepInfra is listed under AI Infrastructure & MLOps AI tools.

Summary

What is DeepInfra?

DeepInfra provides OpenAI-compatible and native inference APIs for language, vision, embeddings, reranking, image, video, and speech models. It also supports private model deployments, dedicated GPU infrastructure, and production team controls.

Best fit

Best for

Developers and AI infrastructure teams needing scalable multi-model inference APIs

Audience

Who is it for?

AI application developersMachine learning engineersPlatform engineering teamsRAG and search teamsEnterprise AI infrastructure teams
Recommendation

Decision note

Suitable for evaluation after confirming final commercial terms, permissions, data handling, lifecycle status, and edit-screen aliases. Keep Needs Review enabled until a human verifies the published profile.

Capabilities

Key features

OpenAI-compatible chat, embedding, and image endpoints

Native API coverage for many model modalities

Usage-based model pricing without seat fees

Private deployments for custom or fine-tuned models

Dedicated B200 and B300 GPU infrastructure

Zero-retention policy with SOC 2 and ISO 27001

Workflows

Use cases

Serving open LLMs in production applications

Building retrieval and reranking pipelines

Running image, video, and speech generation

Deploying private fine-tuned models

Renting dedicated inference or training clusters

Strengths

Pros

  • Large and frequently updated model catalog
  • No idle-GPU billing for serverless inference
  • OpenAI SDK compatibility reduces migration effort
  • Supports serverless, private, and dedicated infrastructure
Considerations

Limitations

Performance, availability, model behavior, and cost vary by workload. Teams should benchmark models, set spending and concurrency controls, validate privacy configuration, monitor deprecations, and test fallbacks before production use.

Cost

Pricing details

Pricing modelPaid
Starting price$0.019/1M input tokens
Free planUnknown
Free trialYes
Pricing context

Billing options

Pay per input and output tokenPay per execution timeWeekly private-deployment billingDedicated GPU contracts
Pricing context

Pricing note

DeepInfra publishes model-specific token, execution-time, image, audio, and GPU rates. A current low text-model rate is $0.019 per million input tokens for Mistral Nemo. Free-plan or trial terms were not explicitly confirmed, so stale values should be cleared.

View official pricing
Compatibility

Supported languages

  • English
Connectivity

Integrations

OpenAI Python SDK

OpenAI Node.js SDK

REST API

Okta SSO

Hugging Face models

OpenRouter

Specs

Technical details

PlatformsAPI, Web
Multilingual supportUnknown
Login requiredYes
Open sourceNo
DeploymentCloud
CompanyDeepInfra
Launch year2020
Models / versions100+ hosted models OpenAI-compatible endpoints Custom LLM deployments
Editions / plansServerless Inference Private Models DeepCluster GPU Rental
Data confidenceHigh
Last verifiedAugust 1, 2026
Documentation → Data source →
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Answers

Frequently asked questions

DeepInfra provides OpenAI-compatible and native inference APIs for language, vision, embeddings, reranking, image, video, and speech models. It also supports private model deployments, dedicated GPU infrastructure, and production team controls.
Developers and AI infrastructure teams needing scalable multi-model inference APIs
The listed pricing model for DeepInfra is Paid. Pricing can change, so users should verify the latest plan details on the official website.
Yes. The current profile indicates that a free trial is available.
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