Is my data private on DeepInfra?

Yes. DeepInfra enforces a zero data retention policy and is SOC 2 and ISO 27001 certified. Your inputs, outputs, and user data are not stored.

How does pricing work? Are there any hidden fees?

Pricing is pure pay-as-you-go per token or per second of inference time, depending on the model. There are no long-term contracts, minimums, or hidden fees.

Can I run my own fine-tuned model on DeepInfra?

Yes, through Private Model Deployments. You can host your own pre-trained weights (including fine-tunes) on dedicated A100/H100/H200/B200/B300 GPUs with autoscaling and a private endpoint.

What is the DeepCluster and how is it different from standard inference?

DeepCluster is a dedicated, long-term (5-year) rental of NVIDIA B300 GPU clusters in a Tier 3 datacenter, offering 70% cost savings vs. public cloud for massive, predictable workloads. Standard inference is for on-demand, per-token usage.

Does DeepInfra support features like structured outputs or function calling?

Yes. The platform supports advanced features including Tool Calling (function calling), Structured Outputs (JSON mode), Streaming, Prompt Caching, and Log Probabilities for compatible models.

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DeepInfra

DeepInfra is an AI inference cloud providing an OpenAI-compatible API for accessing hundreds of open-source models (LLMs, vision, embeddings, image/video generation, speech). It offers pay-as-you-go pricing with per-token or per-execution-time billing, no long-term contracts, and the ability to scale from startups to enterprises. Key capabilities include deploying private, fine-tuned models on dedicated A100/H100/H200/B200/B300 GPUs with autoscaling, and renting GPU clusters for training. It operates its own US-based data centers for optimized performance, reliability, and security, holding SOC 2 and ISO 27001 certifications with a zero-retention data policy.

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Added on

Sep 21, 2026

OpenAI API100+ ModelsPay-as-you-goPrivate DeploymentsGPU ClustersZero Data Retention

Product information

Everything worth knowing about DeepInfra

The complete picture — from everyday features to the technical detail builders and IT folks dig for.

Core features

What it actually does

OpenAI-Compatible API

Point your existing OpenAI SDK or code to DeepInfra's endpoint (`https://api.deepinfra.com/v1/openai`) and swap the base URL with zero migration effort.

Multi-Model Support

Access over 100 open-source models across categories: LLMs, vision, embeddings, image generation, video generation, speech, and more.

Pay-As-You-Go Pricing

Only pay for what you use with no long-term contracts, no hidden fees, and no surprises. Pricing is per-token for language models or per-inference-time for others.

Private Model Deployments

Deploy your own fine-tuned LLM or custom model on dedicated A100/H100/H200/B200/B300 GPUs with autoscaling and a private endpoint.

GPU Cluster Rental

Rent dedicated NVIDIA B300 GPU clusters (DeepCluster) with SSH access for training or custom workloads, with a 99.982% uptime SLA.

Zero Data Retention

Inputs, outputs, and user data are not stored, providing privacy and compliance. SOC 2 and ISO 27001 certified.

Technical capabilities

MoE & Sparse Architecture Support

Optimized inference for Mixture-of-Experts models (e.g., DeepSeek-V4, Qwen3.8) and specialized architectures using techniques like ZDR, FP4/FP8 quantization, and DSpark speculative decoding.

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Who uses it

Real use cases, no hype

LLM API Integration

Swap your OpenAI base URL to instantly access 100+ cost-effective open-source LLMs without code refactoring.

RAG & Semantic Search

Build retrieval-augmented generation pipelines using state-of-the-art embedding and reranking models.

AI Agent Development

Run complex agentic workflows (tool calling, long-horizon tasks) on models optimized for reasoning and coding.

Multimodal Applications

Deploy vision models for OCR/document understanding and generate images, video, or speech via simple APIs.

Cost-Sensitive AI Inference

Scale to trillions of tokens with pay-as-you-go pricing and deep discounts on flash models for high-throughput needs.

Private & Compliant AI

Deploy fine-tuned models on dedicated GPUs in US-based data centers for strict data privacy and compliance.

GPU Compute Rental

Access on-demand DGX B300 instances or dedicated clusters for custom training, fine-tuning, or non-standard workloads.

What's great

Drop-in OpenAI API replacement (no code changes)
Massive, always-fresh catalog of 100+ open-source models
Aggressive pay-as-you-go pricing with massive discounts on flash models
Zero data retention and SOC 2/ISO 27001 compliance

Technical strengths

Supports private model deployments on cutting-edge GPUs (A100 to B300)
DeepCluster offers dedicated B300 GPU clusters at 70% less than public cloud
Offers native Batch API and advanced features like prompt caching

Where it falls short

No managed fine-tuning platform; private deployments are pre-trained weights only
Service is inference-focused; not a full MLOps or training platform
Enterprise-tier features like DeepCluster require long-term commitments

Technical limitations

Performance and rate limits depend heavily on the specific model and GPU tier chosen
Less control over raw hardware compared to a direct IaaS provider like AWS/GCP

For technical folks

The deep-dive specs

FAQ

Includes technical Q&A

Simply change your OpenAI SDK's base_url to 'https://api.deepinfra.com/v1/openai' and use your DeepInfra API key. Your existing code will work without changes.

Traffic Insights

Monthly Visits

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October 2026

Growth Rate

vs last month

Dominance

in Search

Top Country

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Top Countries Breakdown

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Growth Trend

Stable

Traffic has remained stable.

Pricing overview

Freemium Pricing

DeepInfra Pricing

DeepInfra uses a freemium pricing structure. Real-time rates, custom enterprise quotas, and plan details are managed directly on their official platform.

Check Pricing on DeepInfra

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