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DeepInfra pricing, features, company info, and alternatives
A factual product page for DeepInfra as an AI inference cloud with public and private deployment options.
Last updated April 2026 · Pricing and features verified against official documentation
Pricing
Current public pricing tiers on file for DeepInfra, last verified Apr 25, 2026.
Shared inference
Usage-based
The pricing page lists per-model input and output token rates, with cached rates on some models; examples on Apr 25, 2026 include DeepSeek-V3.2 at $0.26 per 1M input tokens and $0.38 per 1M output tokens, DeepSeek-OCR at $0.03/$0.10, and Qwen3-235B-A22B-Instruct-2507 at $0.071/$0.10.
Private model deployments
Usage-based
Private deployments are billed per GPU-hour rather than per token and support A100, H100, H200, B200, and B300 GPUs with autoscaling.
GPU rental
From $1.98/GPU-hr / GPU-hour
The homepage advertises NVIDIA B300 5-year-term hardware at $1.98/GPU-hr, and also shows on-demand DGX B300 GPU instances at $4.20 per instance-hour.
What You Can Do With It
The main capabilities that shape how people use DeepInfra today.
Offers an OpenAI-compatible API at https://api.deepinfra.com/v1/openai plus native endpoints for text, vision, speech, OCR, and other model types.
Publishes a live catalog of 100+ open-source models and says it is usually among the first providers to add newly released models.
Supports private model deployments on dedicated A100, H100, H200, B200, and B300 GPUs with autoscaling and a private endpoint.
Provides dedicated GPU rental through DeepCluster and GPU Instances for training, fine-tuning, and custom workloads.
Best For
Who DeepInfra is most clearly built for.
Developers who want OpenAI-compatible inference without managing their own GPU fleet.
Teams that need a single vendor for LLMs, embeddings, image generation, speech, and other model types.
Organizations that need private deployments or dedicated GPU capacity for custom models.
Platforms
Where you can use DeepInfra today.
Web
API
Integrations
Notable connected tools and ecosystem hooks for DeepInfra.
OpenAI SDKs
Hugging Face
Civitai
Privacy Notes
Publicly stated data-handling notes that matter when evaluating DeepInfra.
DeepInfra says inference inputs are held only in memory during processing and deleted after completion.
The data-privacy page says DeepInfra does not train on submitted data or share it with third parties, except for Google and Anthropic model exceptions.
The policy says bulk inference requests may be retained longer, potentially on encrypted disk, until the job finishes.
Compliance
Public compliance or enterprise-governance signals we found for DeepInfra.
SOC 2
ISO 27001
Access
How to integrate or build around DeepInfra.
Public API
Yes
Docs
Available
Alternatives
Other tools worth considering alongside DeepInfra.
AI infrastructure platform for running, fine-tuning, and training open-source models.
Developer platform for running, fine-tuning, and deploying open models.
Cloud API for running public and private AI models, training custom models, and deploying them on managed infrastructure.
GPU cloud platform for training, inference, storage, and managed AI workloads.
Product Snapshot
DeepInfra is an AI inference cloud with an OpenAI-compatible API, native endpoints for additional model types, private model deployments, and dedicated GPU rental.
What You Can Do With It
- Run LLMs and embeddings through an OpenAI-compatible API.
- Use native inference endpoints for vision, OCR, speech, and other model types.
- Deploy private models on dedicated GPUs with autoscaling and a private endpoint.
- Rent dedicated GPU instances for training, fine-tuning, and custom workloads.
Why It Stands Out
It combines a large open-model catalog, private deployment options, and GPU rental in one platform.
Tradeoffs To Know
- Pricing is usage-based and varies by model, execution mode, and hardware.
- The privacy policy includes exceptions for some Google and Anthropic model flows.
- The platform is infrastructure-first, so buyers need to compare model prices and deployment modes rather than assume a single subscription plan.