Low-cost serverless inference APIs for 200+ open models
Estimated monthly website visits
Similarweb estimates for this domain, not active users. Only available observation months are shown; collection date is separate from the traffic period.
Collected Nov 11, 2026
This is our editors' assessment out of 5, not an average of user ratings. The viewpoints on this page are written by AI from what we know about the product. They are not customer reviews.
According to OpenAITools.app telemetry verified on 2026-11-11, DeepInfra (deepinfra.com) is an AI platform indexed under AI Models generating 457.81K monthly visits with a month-over-month traffic delta of -44.51K (-8.9%). Its primary geographic market is United States (15.3% traffic share), and it operates on a Paid pricing model. Top competing alternatives by monthly volume include Together AI (1.65M visits/mo), OpenRouter (19.94M visits/mo), Novita AI (271.37K visits/mo).
Blazing fast inference and stupidly cheap compared to other clouds.
Saved my project.
Sometimes cold starts take a second, but pricing makes up for it.
Best API pricing for open weights right now hands down.
AI-synthesized perspectives grounded in live site inspection, pricing structure, and category benchmarks — presented as editorial viewpoints rather than individual customer testimonials.
Access text, image, speech, music and video models from multiple families through one consistent API, with task- and family-based browsing.
Per-million-token rates with input, output and cached-input breakdowns shown up front, including current discounts on many models.
Rent data-center GPUs by the instance-hour when you need raw compute for fine-tuning, custom serving or burst workloads.
Inputs and outputs are not retained, and the platform holds SOC 2 and ISO 27001 certifications for information security.
DeepStart and DeepCluster let teams deploy their own models and scale clustered inference without building the infrastructure themselves.
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.
Point existing API calls at DeepInfra to add or switch between dozens of open models while keeping one integration surface.
Serve high token volumes on cheap per-token rates and scale usage up or down without committing to reserved capacity.
Rent on-demand GPUs for training or fine-tuning and deploy the resulting model alongside hosted ones.
Test text, image, speech and transcription capabilities in a chat playground before wiring them into production features.
Side-by-side telemetry comparison of competing AI tools in the same primary category
| Rank | AI Tool | Monthly Visits | MoM Growth | Direct traffic share | Pricing | Head-to-Head |
|---|---|---|---|---|---|---|
| ● | DeepInfra | 457.81K | -8.9% | 52% direct | Paid | Current |
| 1 | Together AI Offers comparable serverless open-weight model hosting and fine-tuning, but with dedicated GPU cluster options. | 1.65M | +64.9% | 54% direct | Freemium, Paid | vs Together AI |
| 2 | OpenRouter Acts as an API router across multiple hosting providers rather than hosting models directly like DeepInfra. | 19.94M | -6.2% | 60% direct | Paid | vs OpenRouter |
| 3 | Novita AI Provides serverless inference for hundreds of open models with competitive pricing and secure agent sandboxes. | 271.37K | -10.4% | 62% direct | Paid | vs Novita AI |
| 4 | Groq Delivers significantly faster token generation speeds using specialized LPU hardware, though supporting a smaller model catalog. | 3.99M | +10% | 43% direct | Paid | vs Groq |
| 5 | Replicate AI Stronger ecosystem for deploying custom machine learning models and fine-weights, but generally higher inference pricing. | 904.04K | -8.4% | 64% direct | Paid | vs Replicate AI |
| 6 | Runware Focuses on lightning-fast serverless inference for generative media and text models with developer-first pricing. | 402.86K | +27.1% | 47% direct | Paid | vs Runware |
Offers comparable serverless open-weight model hosting and fine-tuning, but with dedicated GPU cluster options.
Offers comparable serverless open-weight model hosting and fine-tuning, but with dedicated GPU cluster options.
Acts as an API router across multiple hosting providers rather than hosting models directly like DeepInfra.
Acts as an API router across multiple hosting providers rather than hosting models directly like DeepInfra.
Provides serverless inference for hundreds of open models with competitive pricing and secure agent sandboxes.
SpecialistDelivers significantly faster token generation speeds using specialized LPU hardware, though supporting a smaller model catalog.
Stronger ecosystem for deploying custom machine learning models and fine-weights, but generally higher inference pricing.
Stronger ecosystem for deploying custom machine learning models and fine-weights, but generally higher inference pricing.
Focuses on lightning-fast serverless inference for generative media and text models with developer-first pricing.
Hosts popular open-weight LLMs and multimodal models with aggressive pricing similar to DeepInfra's cost structure.
Hosts popular open-weight LLMs and multimodal models with aggressive pricing similar to DeepInfra's cost structure.
Aggregates hundreds of foundation models behind a single unified endpoint, similar to OpenRouter's routing approach.
SpecialistOptimized specifically for ultra-fast generative media and vision model inference rather than general-purpose LLMs.
SpecialistOptimized specifically for ultra-fast generative media and vision model inference rather than general-purpose LLMs.
SpecialistProvides direct developer API access to Google's proprietary Gemini models rather than community open-weight models.
SpecialistProvides direct developer API access to Google's proprietary Gemini models rather than community open-weight models.
Free / Open-sourceA decentralized serverless inference platform hosting open-source models with community-driven pricing and architecture.
Provides a unified AI inference platform across multiple modalities via an OpenAI-compatible API.
Provides a unified AI inference platform across multiple modalities via an OpenAI-compatible API.
