Deepinfra
Claim this toolAccelerate your AI with developer-friendly APIs for performance and cost-efficient machine learning inference.
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Tracked since2026
0 reviews trackedThe Bottom Line
Entry price
Free plan available, paid tiers above
Biggest pro
Fast, simple, and reliable AI inference
Biggest con
Pricing can vary significantly per model and usage type (tokens, execution time)
TL;DR - Deepinfra
- Provides APIs for fast, cost-efficient AI model inference.
- Offers a wide range of machine learning models including text, image, and video generation.
- Ensures data privacy and security with SOC 2 and ISO 27001 certifications.
Pricing: Free plan available
Best for: Growing teams
What is Deepinfra?
DeepInfra provides a platform for fast, simple, and reliable AI inference, offering developer-friendly APIs to accelerate AI models. It allows users to access and deploy a wide range of machine learning models, including text generation, text-to-image, text-to-video, text-to-speech, automatic speech recognition, embeddings, and rerankers. The platform is designed for performance and cost-efficiency, catering to both startups and enterprises with scalable infrastructure.
DeepInfra focuses on providing tailored inference solutions, optimizing for factors like cost, latency, throughput, and scale. It boasts a zero retention policy for user data, ensuring privacy and compliance with SOC 2 and ISO 27001 certifications. The service runs on its own cutting-edge, inference-optimized infrastructure located in secure US-based data centers, promising better performance and reliability for its users. Additionally, it offers GPU rental for on-demand access to powerful hardware like DGX B200 GPUs.
Available on: Web
Pros & Cons
Pros
- Fast, simple, and reliable AI inference
- Cost-efficient with pay-as-you-go pricing
- Strong focus on data privacy and security (SOC 2, ISO 27001)
- Wide variety of machine learning models available
- Scalable infrastructure for various business needs
Cons
- Pricing can vary significantly per model and usage type (tokens, execution time)
- No explicit free tier mentioned for model inference, only paid options
Preview
Key Features
Developer-friendly APIs for AI inferenceAccess to 100+ machine learning models (text generation, image generation, video generation, speech synthesis, etc.)Pay-as-you-go pricing modelOn-demand GPU rental (e.g., DGX B200 GPUs)Zero retention policy for inputs, outputs, and user dataSOC 2 and ISO 27001 certifiedCustomizable inference solutions (cost, latency, throughput, scale optimization)Proprietary inference-optimized infrastructure in US-based data centers
Pricing Plans
Pricing checked Jul 9, 2026
moonshotai/Kimi-K2.5 (text-generation)
$0.45 / M in • $2.80/M out
- 256k context window
- $0.09 cached / 1M tokens
zai-org/GLM-4.7-Flash (text-generation)
$0.06 / M in • $0.40/M out
- bfloat16
- 198k context window
- $0.01 cached / 1M tokens
nvidia/Nemotron-3-Nano-30B-A3B (text-generation)
$0.05 / M in • $0.20/M out
- fp4
- 256k context window
NVIDIA gpu-rental On-Demand DGX B200 GPUs
$2.49 / instance-hour
deepseek-ai/DeepSeek-V3.2 (text-generation)
$0.26 / M in • $0.38/M out
- fp4
- 160k context window
- $0.13 cached / 1M tokens
Bria/fibo_edit (text-to-image)
$0.00 / image
- Free for a limited time
Bria/video_eraser (text-to-video)
$0.14 / second
Bria/video_foreground_mask (text-to-video)
$0.14 / second
Bria/video_increase_resolution (text-to-video)
$0.14 / second
Bria/video_mask_by_key_points (text-to-video)
$0.14 / second
Bria/video_mask_by_prompt (text-to-video)
$0.14 / second
Bria/video_remove_background (text-to-video)
$0.14 / second
PrunaAI/p-image (text-to-image)
$0.005 / image
PrunaAI/p-image-Edit (text-to-image)
$0.01 / image
bosonai/HiggsAudioV2.5 (text-to-speech)
$20.00 / 1M characters
ResembleAI/chatterbox-turbo (text-to-speech)
$1.00 / 1M characters
Reviews
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Deepinfra FAQ
How does DeepInfra support text generation tasks?
DeepInfra provides developer-friendly APIs that allow users to access and deploy various machine learning models, including those for text generation. This enables acceleration of AI models for tasks such as creating human-like text or generating content. The platform is designed for fast, simple, and reliable AI inference across these model types.
What kind of user benefits most from DeepInfra's offerings?
DeepInfra is designed for both startups and enterprises that require scalable infrastructure for AI inference. It caters to developers looking for performance and cost-efficient solutions for deploying machine learning models. Users who prioritize data privacy and security will also find its SOC 2 and ISO 27001 compliance beneficial.
How does DeepInfra's data privacy policy compare to other platforms?
DeepInfra maintains a zero retention policy for user data, which ensures enhanced privacy and compliance. This commitment is supported by its SOC 2 and ISO 27001 certifications. This approach focuses on not storing user data after processing, offering a distinct privacy posture.
What are the main trade-offs when using DeepInfra for AI inference?
A primary trade-off is that pricing can vary significantly depending on the specific model used and the type of usage, such as tokens processed or execution time. While it offers a free tier, there is no explicit free tier mentioned specifically for model inference, meaning paid options are generally required for active model use. Users need to consider these variable costs.
How is DeepInfra priced for its services?
DeepInfra is available on a free tier, with paid plans offered for users requiring more usage and additional features. Its model inference services are generally cost-efficient with pay-as-you-go pricing. The exact pricing can vary per model and usage type, such as tokens or execution time.
Can DeepInfra provide GPU access for on-demand computing?
Yes, DeepInfra offers GPU rental services, providing on-demand access to powerful hardware. This includes access to high-performance GPUs like DGX B200. This feature supports users who need dedicated computing resources for their AI workloads.
How does DeepInfra compare to OpenAI API for deploying AI models?
DeepInfra focuses on providing developer-friendly APIs for a wide range of machine learning models, including text generation and text-to-image, with an emphasis on performance and cost-efficiency. Unlike OpenAI API, DeepInfra highlights its zero retention policy for user data and runs on its own inference-optimized infrastructure in US-based data centers, offering SOC 2 and ISO 27001 compliance. Both platforms offer AI model deployment, but DeepInfra distinguishes itself with its infrastructure and data privacy guarantees.
Source: deepinfra.com