# DeepInfra

According to OpenAITools.app telemetry verified on 2026-11-11, DeepInfra (deepinfra.com) is an AI platform indexed under AI Models generating 502.32K monthly visits with a month-over-month traffic delta of -44.19K (-8.1%). Its primary geographic market is United States (12.4% traffic share), and it operates on a Paid pricing model. Top competing alternatives by monthly volume include Google Gemini (2.64B visits/mo), OpenAI Platform (234.68M visits/mo), Google AI Studio (112.62M visits/mo).

Low-cost serverless inference APIs for 200+ open models

## Key Telemetry & Specifications

| Metric | Value |
| :--- | :--- |
| Tool Name | DeepInfra |
| Handle | deep-infra |
| Official Domain | deepinfra.com |
| Website URL | https://deepinfra.com |
| Categories | AI Models, AI API, Large Language Models (LLMs), AI Text Generator, Text to Image, AI Text-to-Speech, AI Speech Recognition, AI Chatbot, AI Developer Tools, Open Source AI Models |
| Pricing Model | Paid |
| Monthly Visits | 502,318 |
| MoM Traffic Change | -44,185 |
| MoM Growth Rate | -8.1% |
| Primary Market | United States |
| Market Share | 12.4% |
| Direct Visits | 282,316 |
| Organic Search Visits | 0 |
| Social Visits | 0 |
| Referral Visits | 34,155 |
| Email Visits | 7,660 |
| Review Score | 5 |
| Saved Count | 0 |
| Supported Platforms | Website |
| Billing Platforms |  |
| Attributes | Features: Website; Pricing: Paid |
| Tags | Machine Learning, Deep Learning, Inference, API, Text Generation, Text-to-Speech, Text-to-Image, Automatic Speech Recognition, LLM, GPU, Cloud Computing, Serverless, Auto Scaling, Pricing, Models |

## Overview

DeepInfra positions itself as an inference cloud rather than a model lab: the product is fast, cheap, reliable access to models other people trained. The catalog spans more than 200 models grouped by task (text generation, text-to-image, text-to-music, text-to-speech, text-to-video, automatic speech recognition, embeddings, rerankers, zero-shot image classification) and by family, so you can pick a Claude, DeepSeek, Flux, Gemini, GLM, Kimi, Llama, Mistral, Nemotron or Qwen model and call it through the same API. Pricing is transparent and usage-based, quoted per million tokens with separate input, output and cached-input rates, and many models carry promotional discounts.

Beyond plain model hosting, DeepInfra runs its own inference-optimized hardware in US-based data centers and layers managed options on top: DeepStart for deploying your own models, DeepCluster for GPU clusters and on-demand GPU rental billed per instance-hour, plus a chat playground for quick testing. The company emphasizes security and privacy — a zero-retention policy for inputs and outputs, SOC 2 and ISO 27001 certifications — which matters for teams handling sensitive data. A large funding round (announced as a $107M Series B) and reported 25x growth in token volume signal an actively scaling business.

Practically, DeepInfra is aimed at engineering teams who want OpenAI-compatible style API calls without managing infrastructure, at startups that need cheap high-volume inference, and at organizations that want to rent GPUs for fine-tuning or custom serving on the same platform they use for hosted models.

## Pricing & Plans

Paid, pay-as-you-go. Model inference is billed per million tokens with separate input, output and cached-input rates, and many models show temporary percentage discounts. On-demand GPUs are billed per instance-hour. No long-term contracts; enterprise support and custom arrangements are available via contact sales.

## Key Features & Capabilities

- **200+ Model Catalog:** Access text, image, speech, music and video models from multiple families through one consistent API, with task- and family-based browsing.
- **Transparent Token Pricing:** Per-million-token rates with input, output and cached-input breakdowns shown up front, including current discounts on many models.
- **On-Demand GPU Rental:** Rent data-center GPUs by the instance-hour when you need raw compute for fine-tuning, custom serving or burst workloads.
- **Zero-Retention Privacy:** Inputs and outputs are not retained, and the platform holds SOC 2 and ISO 27001 certifications for information security.
- **Managed Deployment Options:** DeepStart and DeepCluster let teams deploy their own models and scale clustered inference without building the infrastructure themselves.

## Primary Use Cases

- **Swap model providers without rewrites (Backend developer):** Point existing API calls at DeepInfra to add or switch between dozens of open models while keeping one integration surface.
- **Keep inference costs under control (Startup founder):** Serve high token volumes on cheap per-token rates and scale usage up or down without committing to reserved capacity.
- **Fine-tune then serve on one platform (ML engineer):** Rent on-demand GPUs for training or fine-tuning and deploy the resulting model alongside hosted ones.
- **Prototype multimodal features fast (Product team):** Test text, image, speech and transcription capabilities in a chat playground before wiring them into production features.

## Strengths

- Very broad model catalog covering text, image, audio and video tasks behind one API
- Transparent per-token pricing with cached-input rates and frequent promotional discounts
- Security posture is documented: zero retention, SOC 2 and ISO 27001
- Self-hosted, inference-optimized hardware with GPU rental and cluster options for scaling

## Limitations

- Costs are metered per token, so spend can grow quickly with high-volume or long-context workloads
- The catalog changes fast, which means model names and prices need periodic rechecking
- Some models in the listing are previews or promotional, so production reliability varies by model

## Frequently Asked Questions

### How is DeepInfra priced?
Inference is pay-as-you-go per million tokens, with separate rates for input, output and cached input; many models also show temporary percentage discounts. GPU rental is billed per instance-hour. There are no long-term contracts.

### Which models can I run?
The catalog covers more than 200 models across text generation, text-to-image, text-to-speech, text-to-music, text-to-video, automatic speech recognition, embeddings, rerankers and zero-shot image classification, including families such as Llama, Qwen, DeepSeek, Mistral, GLM, Kimi, Flux, Gemini, Claude and NVIDIA Nemotron.

### Is my data used for training?
DeepInfra operates a zero-retention policy for inputs and outputs and states that user data stays private, backed by SOC 2 and ISO 27001 certifications.

### Can I deploy my own model?
Yes. DeepStart is offered for deploying your own models, and DeepCluster plus on-demand GPU rental cover clustered and burst compute needs on the same platform.

### What is DeepInfra's monthly traffic and growth trend?
DeepInfra currently receives 502.32K monthly visits, with a month-over-month traffic change of -44.19K (-8.1% growth rate). Its primary source market is United States (12.4% share), including 282.32K direct visits/mo and 0 organic search visits/mo.

### Is DeepInfra free? What is its pricing model?
DeepInfra operates on a Paid pricing model. Paid, pay-as-you-go. Model inference is billed per million tokens with separate input, output and cached-input rates, and many models show temporary percentage discounts. On-demand GPUs are billed per instance-hour. No long-term contracts; enterprise support and custom arrangements are available via contact sales. Supported billing and checkout platforms include: not listed.

### What are the best DeepInfra alternatives in 2026?
Based on OpenAITools.app category traffic and feature fit, the top five alternatives to DeepInfra are: 1. Google Gemini (2.64B visits/mo); 2. OpenAI Platform (234.68M visits/mo); 3. Google AI Studio (112.62M visits/mo); 4. Code Arena (35.83M visits/mo); 5. Qwen 4 (Alibaba Qwen4) (35.1M visits/mo).

### Which platforms and core AI capabilities does DeepInfra support?
DeepInfra is classified under AI Models, AI API, Large Language Models (LLMs), AI Text Generator, supports the following platforms: Website, and its core capability tags include: Machine Learning, Deep Learning, Inference, API, Text Generation, Text-to-Speech.

## Alternatives

| Tool Name | Monthly Visits | Pricing Model | Compare |
| :--- | :--- | :--- | :--- |
| [Google Gemini](https://openaitools.app/tool/gemini-gemini-advanced) | 2,637,398,242 | Freemium | [Compare](https://openaitools.app/compare/deep-infra-vs-gemini-gemini-advanced) |
| [OpenAI Platform](https://openaitools.app/tool/openai) | 234,678,639 | Paid | [Compare](https://openaitools.app/compare/deep-infra-vs-openai) |
| [Google AI Studio](https://openaitools.app/tool/google-ai-studio) | 112,620,020 | Freemium | [Compare](https://openaitools.app/compare/deep-infra-vs-google-ai-studio) |
| [Code Arena](https://openaitools.app/tool/code-arena) | 35,827,928 | Free | [Compare](https://openaitools.app/compare/code-arena-vs-deep-infra) |
| [Qwen 4 (Alibaba Qwen4)](https://openaitools.app/tool/qwen-4) | 35,101,353 | Freemium | [Compare](https://openaitools.app/compare/deep-infra-vs-qwen-4) |
| [OpenRouter](https://openaitools.app/tool/openrouter-ai) | 19,941,437 | Paid | [Compare](https://openaitools.app/compare/deep-infra-vs-openrouter-ai) |
| [Claude](https://openaitools.app/tool/claude-3) | 18,695,610 | Freemium, Contact for Pricing | [Compare](https://openaitools.app/compare/claude-3-vs-deep-infra) |
| [chichi-pui](https://openaitools.app/tool/chichi-pui-com) | 9,091,626 | Paid | [Compare](https://openaitools.app/compare/chichi-pui-com-vs-deep-infra) |
| [Use AI](https://openaitools.app/tool/use-ai) | 8,751,848 | Free Trial, Paid | [Compare](https://openaitools.app/compare/deep-infra-vs-use-ai) |
| [Midjourney](https://openaitools.app/tool/midjourney) | 8,609,446 | Freemium | [Compare](https://openaitools.app/compare/deep-infra-vs-midjourney) |
| [Fish Audio](https://openaitools.app/tool/fish-speech) | 8,557,159 | Free | [Compare](https://openaitools.app/compare/deep-infra-vs-fish-speech) |
| [Runway](https://openaitools.app/tool/runwayml) | 7,498,396 | Freemium, Paid, Contact for Pricing | [Compare](https://openaitools.app/compare/deep-infra-vs-runwayml) |

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Source: https://openaitools.app/tool/deep-infra