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AI infrastructure · Tool
DeepInfra
ResearchedDeepInfra is an AI inference cloud offering cost-effective, scalable, production-ready machine-learning model deployment via developer-friendly APIs. It hosts 100+ models across text, image, speech, and video categories from families including Claude, Llama, DeepSeek, and Qwen, with pay-as-you-go pricing.
Official site snapshots
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Read-only public captures of DeepInfra’s homepage and verified pricing page. Screenshots are dated, never live embeds, and open full-screen.
In one minute
Start here for the decision-making essentials: what DeepInfra does, who it is for, how it is accessed, and the first-party sources behind this profile.
Pricing4 options
DeepSeek-V4-Flash text-generation model priced at $0.09/M input tokens and $0.18/M output
DeepSeek-V4-Pro text-generation model priced at $1.30/M input tokens and $2.60/M output to
Kimi-K2.7-Code text-generation model priced at $0.74/M input tokens and $3.50/M output tok
NVIDIA-Nemotron-3-Ultra-550B-A55B text-generation model priced at $0.50/M input tokens and
Platforms
Web
API accessNot public
FoundedSeptember 2022
AvailabilityWeb / remote
LicenseYes
Best suited to
Source-backed fit Teams deploying open-source and frontier LLMs in production without… Developers seeking pay-as-you-go AI inference with no long-term contracts Organizations needing multi-modal model access across text, image, speech,… Workloads requiring scalable GPU-backed inference that scales to trillions… Projects integrating OpenAI-compatible APIs with simple Bearer token… Companies that want full control over their AI stack and a reliable…
Decision support
6 sourced answersCommon questions and adoption checks
Short answers to the questions buyers and builders commonly ask about DeepInfra. Each answer cites the shared ledger below, where every source is listed once.
01What does DeepInfra say it can do?
DeepInfra provides developer-friendly APIs for AI inference designed for performance and c · Machine learning inference cloud / infrastructure · Hosts models across categories: Automatic Speech Recognition, Embeddings, Reranker, Text G · JSON-native text-to-image generation
Accelerate your AI with developer-friendly APIs designed for performance and cost-efficiency.
02Who is DeepInfra intended for?
Companies that want full control over their AI stack and a reliable inference provider wit
Companies deserve a reliable inference provider that gives them full control over their AI stack — not lock-in to proprietary models.
Ledger citation[3] deepinfra.com/about
03What use cases does DeepInfra describe?
Serverless / on-demand ML model inference for language and other AI models with no long-te · FLUX.1-dev applications span creative industries including gaming, film production, advert · Ranked #1 open world generation model for synthetic data generation to train physical AI s · Ranked #1 backbone for world action models, supporting robotics, embodied AI, and AV polic
you can easily scale up and down as your business needs change.
04What should teams verify before adopting DeepInfra?
API inputs and outputs may be stored temporarily for debugging purposes
We might sometimes store, for a limited period of time, the inputs and outputs to API calls for debugging purposes
Ledger citation[8] deepinfra.com/privacy
05What pricing information is available for DeepInfra?
DeepSeek-V4-Flash text-generation model priced at $0.09/M input tokens and $0.18/M output · DeepSeek-V4-Pro text-generation model priced at $1.30/M input tokens and $2.60/M output to · Kimi-K2.7-Code text-generation model priced at $0.74/M input tokens and $3.50/M output tok · NVIDIA-Nemotron-3-Ultra-550B-A55B text-generation model priced at $0.50/M input tokens and
deepseek-ai text-generation DeepSeek-V4-Flash $0.09/M in • $0.18/M out
06Does DeepInfra document API access?
https://api.deepinfra.com/v1/openai/images/generations · OpenAI-compatible API · Exposes hosted AI models via API (e.g., NVIDIA Nemotron API)
curl https://api.deepinfra.com/v1/openai/images/generations
Decision guide
AI infrastructureCapabilities and operating fit
This profile connects the jobs DeepInfra is described as handling with its delivery model, access options and the subjects used to match it to related products in this directory.
Common use cases
- Serverless text generation across models like DeepSeek-V4-Pro, Qwen3-Max, and gemma-4
- Text-to-image generation (e.g., Bria FIBO at $0.04 per image)
- Automatic speech recognition, text-to-speech, and text-to-music inference
- Embeddings and reranker model hosting for retrieval-augmented systems
- On-demand DGX B300 GPU rental for inference workloads
- Production deployment of deep-learning models via simple API calls
Topics mapped
Verified capabilities
- DeepInfra provides developer-friendly APIs for AI inference designed for performance and c
- Machine learning inference cloud / infrastructure
- Hosts models across categories: Automatic Speech Recognition, Embeddings, Reranker, Text G
- JSON-native text-to-image generation
- Provides inference APIs that scale to trillions of tokens
- Scales to trillions of tokens
- Simple APIs that can scale to trillions of tokens
- Offers 100+ AI models
Recorded integrations
Intended audiences
Access signals
- Pricing model
- DeepSeek-V4-Flash text-generation model priced at $0.09/M input tokens and $0.18/M output · DeepSeek-V4-Pro text-generation model priced at $1.30/M input tokens and $2.60/M output to · Kimi-K2.7-Code text-generation model priced at $0.74/M input tokens and $3.50/M output tok · NVIDIA-Nemotron-3-Ultra-550B-A55B text-generation model priced at $0.50/M input tokens and
- API
- Not publicly listed
- Source links
- 17 recorded
Source-backed
Updated July 23, 2026Verified facts
Each fact points to a recorded source, making it easy to distinguish verified product information from claims that need checking.
Machine Learning Models and Infrastructure | DeepInfra
Offers cost-effective, scalable, easy-to-deploy, production-ready ML models and infrastruc · Provides developer-friendly APIs designed for performance and cost-efficiency · Raised $107M Series B to scale the inference cloud
DeepInfra offers cost-effective, scalable, easy-to-deploy, and production-ready machine-learning models and infrastructure for deep-learning models.
DeepInfra provides developer-friendly APIs for AI inference designed for performance and cost-efficiency.
DeepInfra raised $107M Series B to scale the inference cloud.
DeepInfra hosts models from families including Claude, DeepSeek, Flux, Gemini, Llama, Mistral, Nemotron, and Qwen.
DeepInfra supports the following model categories: Automatic Speech Recognition, Embeddings, Reranker, Text Generation, Text To Image, Text To Music, Text To Speech, Text To Video, World Model, and Zero Shot Image Classification.
View 32 more verified facts
DeepSeek-V4-Flash text-generation model priced at $0.09/M input tokens and $0.18/M output tokens.
DeepSeek-V4-Pro text-generation model priced at $1.30/M input tokens and $2.60/M output tokens.
Kimi-K2.7-Code text-generation model priced at $0.74/M input tokens and $3.50/M output tokens.
NVIDIA-Nemotron-3-Ultra-550B-A55B text-generation model priced at $0.50/M input tokens and $2.20/M output tokens.
gemma-4-26B-A4B-it text-generation model priced at $0.07/M input tokens and $0.34/M output tokens.
gemma-4-31B-it text-generation model priced at $0.13/M input tokens and $0.38/M output tokens.
DeepInfra offers On-Demand DGX B300 GPU rental at $4.89 per instance-hour.
Pay-what-you-use pricing with no long-term contracts or upfront costs
Language models priced per token; most other models billed for inference execution time
Machine learning inference cloud / infrastructure
Raised $107M Series B funding
Hosts models across categories: Automatic Speech Recognition, Embeddings, Reranker, Text Generation, Text To Image, Text To Music, Text To Speech, Text To Video, World Model, Zero Shot Image Classification
Claude, DeepSeek, Flux, Gemini, Llama, Mistral, Nemotron, Qwen
DeepSeek-V4-Pro (1024k context): $1.30 per 1M input tokens ($0.10 cached), $2.60 per 1M output tokens
DeepSeek-V4-Flash (1024k context): $0.09 per 1M input tokens ($0.018 cached), $0.18 per 1M output tokens
DeepSeek-R1-0528 (160k context): $0.50 per 1M input tokens ($0.35 cached), $2.15 per 1M output tokens
Qwen3-Max (250k context): $1.20 per 1M input tokens ($0.24 cached), $6.00 per 1M output tokens
Largest advertised context window is 1024k (DeepSeek-V4-Pro and DeepSeek-V4-Flash)
Serverless / on-demand ML model inference for language and other AI models with no long-term contracts
Yes
$0.04 per image
Text To Image
Detailed structured descriptions of over 1,000+ words per image
Fine-grained control over light, composition, and camera parameters
https://api.deepinfra.com/v1/openai/images/generations
OpenAI-compatible HTTP API
JSON-native text-to-image generation
Bearer token authentication via DEEPINFRA_TOKEN
Bria
DeepInfra (raised $107M Series B to scale the inference cloud)
Low pay-as-you-go pricing with no long-term contracts
Hosts 100+ AI models
Practical capabilities
8 documented areasWhat it helps with
A concise view of the jobs, capabilities and integrations described in the recorded product sources.
Serverless text generation across models like DeepSeek-V4-Pro, Qwen3-Max, and gemma-4
Text-to-image generation (e.g., Bria FIBO at $0.04 per image)
Automatic speech recognition, text-to-speech, and text-to-music inference
Embeddings and reranker model hosting for retrieval-augmented systems
On-demand DGX B300 GPU rental for inference workloads
Production deployment of deep-learning models via simple API calls
Serverless / on-demand ML model inference for language and other AI models with no long-te
FLUX.1-dev applications span creative industries including gaming, film production, advert
Availability
Source checkedWhere it runs and where to get it
Documented product formats, platforms and official distribution destinations. Availability can vary by region and plan.
Cost / license
DeepSeek-V4-Flash text-generation model priced at $0.09/M input tokens and $0.18/M output · DeepSeek-V4-Pro text-generation model priced at $1.30/M input tokens and $2.60/M output to · Kimi-K2.7-Code text-generation model priced at $0.74/M input tokens and $3.50/M output tok · NVIDIA-Nemotron-3-Ultra-550B-A55B text-generation model priced at $0.50/M input tokens andYesBelieves open-source models are the way forward and positions itself as an alternative to Yes · Believes open-source models are the way forward and positions itself as an alternative to
Application types
DeepInfra supports the following model categories: Automatic Speech Recognition, EmbeddingProvides additional products including DeepStart, DeepCluster, and GPU offerings alongsideModel categories available include Automatic Speech Recognition, Embeddings, Reranker, Tex
Origin
Qwen is developed by Alibaba Cloud
Platforms
Exposes a Simple API for accessing AI modelsOperates additional products named DeepStart and DeepClusterDeepInfra offers GPUs, Chat, DeepStart, and DeepClusterCloud inference offering with additional products/services: Chat, DeepStart, and DeepClust
Adoption notes
DeploymentDeepInfra offers On-Demand DGX B300 GPU rental at $4.89 per instance-hour. · Inference cloud · Built from GPU hardware up to the API layer · Machine learning inference cloud
LicenseYes · Believes open-source models are the way forward and positions itself as an alternative to
Model supportDeepInfra hosts models from families including Claude, DeepSeek, Flux, Gemini, Llama, Mist · DeepSeek-V4-Pro (1024k context): $1.30 per 1M input tokens ($0.10 cached), $2.60 per 1M ou · DeepSeek-V4-Flash (1024k context): $0.09 per 1M input tokens ($0.018 cached), $0.18 per 1M · DeepSeek-R1-0528 (160k context): $0.50 per 1M input tokens ($0.35 cached), $2.15 per 1M ou · Qwen3-Max (250k context): $1.20 per 1M input tokens ($0.24 cached), $6.00 per 1M output to
Data controlBearer token authentication via DEEPINFRA_TOKEN · API inputs and outputs are not stored, sold, or used for training without explicit consent
Learning curveIntermediate
Primary use casesServerless text generation across models like DeepSeek-V4-Pro, Qwen3-Max, and gemma-4, Text-to-image generation (e.g., Bria FIBO at $0.04 per image), Automatic speech recognition, text-to-speech, and text-to-music inference, Embeddings and reranker model hosting for retrieval-augmented systems, On-demand DGX B300 GPU rental for inference workloads, Production deployment of deep-learning models via simple API calls, Serverless / on-demand ML model inference for language and other AI models with no long-te, FLUX.1-dev applications span creative industries including gaming, film production, advert, Ranked #1 open world generation model for synthetic data generation to train physical AI s, Ranked #1 backbone for world action models, supporting robotics, embodied AI, and AV polic, Ranked #1 open model for visual understanding on fixed infrastructure cameras for smart ci, Deploying state-of-the-art ML models in production, Automatic Speech Recognition, Embeddings, Reranker, Text Generation, Text To Image, Text T
What to verify before adopting
- API inputs and outputs may be stored temporarily for debugging purposes
Evolution and major updates
Research in progressDeepInfra timeline
A concise history of software releases and material product changes. Events appear only when a dated source supports what changed.
Scheduled for research
Building a reliable release history.
This profile is being checked for dated releases and material product changes. Nothing appears here until the exact date and event can be verified from a recorded source.
Dated event Short explanation Original source
Citation ledger
17 unique pagesRecorded sources
Facts, answers, structured details, milestones and primary resource links cite this shared ledger. Each external page appears once; release tags from the same GitHub project are grouped under one release history.
- 1deepinfra.com 17 facts · 2 answers · Official site
- 2deepinfra.com/pricing 12 facts · 3 answers · Pricing
- 3deepinfra.com/about 12 facts · 2 answers · Official site
- 4deepinfra.com/blog/flux1-dev-guide 11 facts · 3 answers · Official site
- 5deepinfra.com/Bria/fibo/api 11 facts · 3 answers · Documentation
- 6deepinfra.com/blog 12 facts · 1 answer · Official site
- 7deepinfra.com/blog/cosmos3-release 11 facts · 1 answer · Official site
- 8deepinfra.com/privacy 10 facts · 1 answer · Security
- 9deepinfra.com/models 8 facts · Official site
- 10deepinfra.com/blog/nvidia-nemotron-api-pricing-guide-2026 1 answer · Pricing
- 11deepinfra.com/blog/qwen-api-pricing-2026-guide 1 fact · Pricing
- 12deepinfra.com/blog/gemma-4-pricing-benchmarks-cost-scenarios Pricing
- 13deepinfra.com/blog/glm-5-1-pricing-guide-provider-comparison Pricing
- 14deepinfra.com/blog/glm-5-2-pricing-benchmarks-cost-comparison Pricing
- 15deepinfra.com/blog/kimi-k2-6-pricing-guide-deployment-tradeoffs Pricing
- 16deepinfra.com/blog/mimo-v2-5-provider-pricing-deployment-guide Pricing
- 17deepinfra.com/blog/pricing-101-token-math-cost-per-completion Pricing
Research status120 substantive facts · 17 source pages · quality score 100/100
Connected directory
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