Deepinfra
UnclaimedAccelerate 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
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
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Deepinfra FAQ
What is the primary architectural design of the NVIDIA Nemotron 3 Nano model on DeepInfra?
The NVIDIA Nemotron 3 Nano model is built with a hybrid Mixture-of-Experts (MoE) and Mamba architecture. This design is optimized for fast, cost-efficient inference and delivers strong multi-step reasoning capabilities.
How does DeepInfra ensure the privacy and security of user data?
DeepInfra maintains a zero retention policy, meaning user inputs, outputs, and data remain private. The platform is SOC 2 and ISO 27001 certified, adhering to best practices in information security and privacy.
Can I customize the voice for text-to-speech generation using Qwen3-TTS-VoiceDesign?
Yes, Qwen3-TTS-VoiceDesign allows users to describe the desired voice using natural language, rather than selecting from preset options. This enables the model to generate speech in a custom voice based on the text description.
What is the pricing model for language models like DeepSeek-V3.2 on DeepInfra?
DeepSeek-V3.2 and other language models on DeepInfra are priced per 1 million input and output tokens. For DeepSeek-V3.2, the cost is $0.26 per 1M input tokens (or $0.13 cached) and $0.38 per 1M output tokens.
What types of hardware and data centers does DeepInfra utilize for its inference infrastructure?
DeepInfra operates on its own cutting-edge, inference-optimized infrastructure. This infrastructure is housed in secure, US-based data centers, providing enhanced performance and reliability.
Source: deepinfra.com