Fast, low-cost AI inference APIs for developers
By Tanmay Verma, Founder · Last verified 03 Jun 2026
In short
DeepInfra — Fast, low-cost AI inference APIs for developers. Best for Developers needing fast, cheap inference for LLM-powered apps, Teams prototyping with multiple open-source models without upfront cost, Enterprises requiring SOC 2/ISO 27001 compliance for inference. Plans from $4.2/mo.
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A compelling choice for developers and enterprises seeking budget-friendly, high-performance inference without vendor lock-in. The extensive model library and transparent per-token pricing make it easy to experiment and scale. However, lack of integrated fine-tuning and limited documentation on custom deployment may deter large teams.
Compare with: DeepInfra vs Fellow, DeepInfra vs Soniox, DeepInfra vs The New Black
Last verified: June 2026
DeepInfra is a strong contender in the AI inference space, especially for teams that prioritize cost and model choice. With DeepSeek-V4-Flash at $0.10/M input tokens, it undercuts many competitors. The platform supports over 100 models, including cutting-edge open-source releases like DeepSeek-V4 and Qwen3.6. I'd pick DeepInfra when I need to run many different models quickly without committing to a multi-year contract. However, if I need dedicated fine-tuning pipelines or model training, I'd look elsewhere—DeepInfra focuses purely on inference. Compared to Together AI, DeepInfra's pricing is often lower, but Together offers more managed services like fine-tuning. Real-world caveat: the website's model list is extensive but can be overwhelming; new users may need time to browse. Also, some models like Claude are listed under 'Family' but likely refer to accessible open versions. Overall, a solid choice for cost-conscious developers.
Skip DeepInfra if Skip DeepInfra if you need a free tier, a desktop client, or a no-code interface — it's a developer-focused API requiring programming to use.
Across the latest 4 updates: 3 feature updates and 1 pricing change.
Nemotron 3 Ultra and 3.5 Content Safety deployed for inference.
Serving NVIDIA Cosmos 3 Nano and Super for physical AI—robotics, autonomous vehicles, synthetic data.
Details cost reduction strategies for OpenClaw agent execution.
Discusses OpenClaw agent workflows and cost constraints for practical deployment.
How likely is DeepInfra to still be operational in 12 months? Based on 6 signals including funding, development activity, and platform risk.
DeepInfra provides developer-friendly APIs for AI inference, offering fast, reliable, and cost-efficient access to 100+ open-source models including DeepSeek, Llama, Qwen, and more. Optimized for performance with pay-as-you-go pricing, low latency, and no long-term contracts. It covers models for text generation, speech recognition, image generation, and multimodal tasks. Backed by $107M Series B funding and SOC 2/ISO 27001 certified, DeepInfra ensures zero data retention and secure inference. Compared to alternatives like Together AI or Replicate, DeepInfra stands out with ultra-low pricing (e.g., DeepSeek-V4-Flash at $0.10/M in tokens) and ownership of its own inference-optimized infrastructure in US data centers.
Tell us what you want to build — we'll match the AI tools that fit your goal, budget & existing stack.
Concrete scenarios for the personas DeepInfra actually fits — and what changes day-one when you adopt it.
Switch your existing OpenAI SDK to DeepInfra's endpoint; pick DeepSeek V4 Flash for low-cost, high-speed responses.
Outcome: Drop-in replacement reduces inference costs by up to 90% without code changes.
Upload a fine-tuned LoRA adapter and deploy on a private B200 instance with autoscaling via the dashboard.
Outcome: Private endpoint with data isolation, autoscaling to handle traffic spikes, paid per hour.
Use DeepInfra's embedding and reranker APIs to index and search documents, integrate via LangChain.
Outcome: End-to-end RAG pipeline using open models with low per-token cost.
Rate limits are not explicitly documented on the scraped pages; API limits likely vary by plan. Context windows range up to 1024K tokens (DeepSeek V4) but smaller for older models. No free tier or trial is mentioned beyond a pay-as-you-go model. Private deployments require contacting sales and may have minimum commitments.
Project the real annual outlay, including the implied monthly cost when only an annual tier is published.
Vendor list price only. Add-on usage, seat overages, and contract minimums are surfaced under Hidden costs & gotchas.
For each published DeepInfra tier: who it actually fits, and what it adds vs. the previous tier. Cross-reference the cost calculator above for projected annual outlay.
Serverless Pay-As-You-Go
per-token
Ideal for
Startups and developers who want to pay only per token with no minimums or commitments.
What this tier adds
Free entry point: no upfront cost, pay only for tokens used; cached input discounts available.
Private Deployments
contact sales
Ideal for
Enterprises needing dedicated GPU instances with autoscaling and data isolation.
What this tier adds
Adds dedicated A100/H100/H200/B200/B300 instances with private endpoints and compliance support.
GPU Clusters (DeepCluster)
starting at $4.20/instance-hour
Ideal for
Teams needing full SSH access to GPU clusters for training or custom workloads.
What this tier adds
The company stage and team size where DeepInfra's pricing actually pencils out — and where peers do it cheaper.
DeepInfra's serverless pay-as-you-go pricing is best for high-volume, cost-sensitive teams. It undercuts many proprietary APIs (e.g., DeepSeek V4 Flash at $0.10/M in, $0.20/M out). Private deployments are competitive but require a sales conversation. Compared to Together AI or OpenRouter, DeepInfra often matches or beats prices while providing direct hardware control.
How long it actually takes to get something useful out of DeepInfra — broken out by persona, not the marketing-page minute.
For API-first users: get started in 60 seconds by copying your API key and changing the base URL in your OpenAI SDK. Private deployments take a few clicks via the dashboard and are ready within minutes. GPU cluster rentals require SSH setup but can be provisioned on-demand.
How to bring data in from common predecessors and how to get it back out — written for the switcher, not the buyer.
Pricing, brand, ownership, or deprecation changes worth knowing before you commit. Most-recent first.
AI inference cloud — OpenAI-compatible API, 100s of open-source models, private GPU deployments, and GPU rental.
Discover the latest machine learning models and infrastructure! Learn how to enhance your AI applications, and more!
Common stack mates teams adopt alongside DeepInfra, with the specific reason each pairing earns its keep.
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Last calculated: May 2026
On-demand DGX B300 at $4.20/instance-hour; no long-term contracts; full control.
AI inference cloud — OpenAI-compatible API, 100s of open-source models, private GPU deployments, and GPU rental.
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