⚡Stack Radar

Inference APIs · Reviewed 16 Oct 2026

DeepInfra

Production-ready inference APIs for open-source AI models with pay-as-you-go pricing.

free tier · deepinfra.com ↗

Paid against free › Inference APIs › DeepInfra

SEO analysis

Collected Sep 3, 2026

deepinfra.com: TabAPI estimates 490,368 total monthly visits. DataForSEO estimates 6,314 monthly organic visits across 1,540 ranking keywords. Scout crawled 15 pages and measured a technical health score of 90/100.

490.4KEstimated total trafficModeled monthly visits1.5KRanking keywordsPublic search sample90/100Technical health15 pages checked2.8KReferring domainsLive backlink summary

Overview

01

Summary

The useful answer before the supporting detail.

DeepInfra is an inference infrastructure provider that offers production-ready machine learning models through developer-friendly APIs S13. It serves developers and enterprises seeking cost-effective, scalable AI deployment without long-term contracts S13. The platform emphasizes open-source models, low pay-as-you-go pricing, and a zero-retention policy for data privacy S1 S13.

02

Product identity and positioning

Name, category, positioning, audience, and first-party claims.

  • Identity: DeepInfra is an inference infrastructure provider for machine learning models S1.
  • Core purpose: It solves the problem of deploying and scaling AI models efficiently and cost-effectively S13.
  • Intended users: Developers, ML engineers, and technical decision-makers building AI-powered products [S96](https://deepinfra.com/blog/AI modelv4-1-flash-pricing-guide).
  • Product scope: It is a cloud-based API platform, not a desktop or mobile app, offering access to a wide range of models S13.
  • Positioning: The vendor positions itself as a reliable, cost-efficient inference partner that avoids lock-in to proprietary models S1 S13.
  • Claimed distinction: It claims full control over the AI stack with inference-optimized, low-level infrastructure built from GPU hardware to API layer S1.
03

Use cases and audiences

Who the product serves and the jobs it is designed to handle.

AudiencePractical use case
DevelopersBuild AI-powered applications with simple APIs and pay-as-you-go pricing S13.
ML engineersDeploy and scale machine learning models in production with low-level infrastructure S1 S13.
Enterprise engineering teamsUse zero-retention APIs and private endpoints for internal coding and docs assistants [S96](https://deepinfra.com/blog/AI modelv4-1-flash-pricing-guide).
Platform teamsRun nightly code review jobs across repositories, generating structured findings [S96](https://deepinfra.com/blog/AI modelv4-1-flash-pricing-guide).
Cost-sensitive teamsLeverage cheap cached input and low token rates for repeated-context workloads [S96](https://deepinfra.com/blog/AI modelv4-1-flash-pricing-guide).

Features

09

Features and capabilities

Core functions and evidence-backed product capabilities.

CapabilityWhat it does
Model hostingProvides access to a wide range of open-source and proprietary models, including AI model, Kimi, and GLM S13.
API accessOffers developer-friendly APIs for inference, enabling integration into applications S13.
Pay-as-you-go pricingCharges per token usage with no long-term contracts, allowing cost-effective scaling S13.
Zero retention policyEnsures user inputs, outputs, and data remain private S13.
Private endpointsOffers optional private deployment paths for stronger isolation [S103](https://deepinfra.com/blog/AI modelv4-pro-pricing-guide-2026-providers-cost-analysis).
Structured outputSupports JSON mode and function calling for production integrations [S103](https://deepinfra.com/blog/AI modelv4-pro-pricing-guide-2026-providers-cost-analysis).
Multimodal inputSupports text and image input for various models S129.
10

Integrations and ecosystem

Connected products, exports, APIs, and workflow compatibility.

Integration or interfaceTypeWhat it enables
OpenAI-compatible APIAPIAllows integration with tools expecting OpenAI-style endpoints S177.
Function callingAPI featureEnables assistants to trigger CI checks, repo lookups, or patch workflows [S103](https://deepinfra.com/blog/AI modelv4-pro-pricing-guide-2026-providers-cost-analysis).
JSON modeAPI featureSupports structured output for production pipelines [S103](https://deepinfra.com/blog/AI modelv4-pro-pricing-guide-2026-providers-cost-analysis).
Private endpointsDeployment optionProvides stronger isolation for sensitive workloads [S103](https://deepinfra.com/blog/AI modelv4-pro-pricing-guide-2026-providers-cost-analysis).
Multimodal inputAPI featureSupports text and image input for document workflows S129.

Pricing

11

Pricing and plans

Published plans, free access, trials, credits, and pricing limitations.

Plan or offerVerified price and billingIncludedLimits
AI modelV4 Flash$0.09 in ($0.018 cached) / $0.18 out per 1M tokens, usage-based S64Token usage1M context S64
AI modelV4 Pro$1.30 in ($0.10 cached) / $2.60 out per 1M tokens, usage-based S64Token usage1M context S64
Kimi K3$2.85 in ($0.285 cached) / $14.25 out per 1M tokens, usage-based S64Token usage1M context S64
Other modelsVaries by model, e.g., $0.06 in / $0.18 out per 1M tokens S64Token usageContext varies S64

Competition

12

Alternative tools

Named from this report, then each website opened and checked before it is shown.

GroqGroq is the premier neocloud for fast inferenceLike DeepInfra, it provides fast API access to open-source models with pay-as-you-go pricing, but uses proprietary LPU hardware for ultra-low latency.Together AITogether AI | The AI Native CloudIt offers scalable pay-as-you-go inference APIs for open-source AI models similar to DeepInfra, but also includes fine-tuning and custom model training capabilities.AnyscaleProduction-scale AI with Ray | AnyscaleIt provides managed LLM APIs for open-source models like DeepInfra, but focuses heavily on distributed Ray compute workloads and enterprise scaling.Fireworks AIOwn Your Specialized Intelligence | FireworksIt delivers high-performance pay-as-you-go API inference for open-source models just like DeepInfra, but emphasizes specialized production speed and custom model deployment.

4 verified

13

Competitive landscape

Domains competing for the same organic search demand.

DataForSEO — Sampled competitors

CompetitorFirst-page appearancesSampled queriesAverage positionQueries observed
linkedin.com222deepinfra, deep infra
openrouter.ai224.5deepinfra, deep infra
crunchbase.com113deep infra
x.com114deepinfra
vercel.com114deep infra
artificialanalysis.ai115deepinfra
felicis.com115deep infra
siliconangle.com116deepinfra
pitchbook.com117deep infra

Website intelligence — Collected evidence

Customers, testimonials, and first-party review claims

No supporting public-page evidence was collected for this category.

Independent review sources discovered

No links to supported independent review platforms were discovered on the collected pages.

15

AI visibility

Measured ChatGPT and Google AI mentions with cited sources.

TabAPI — AI-assistant referral traffic

  • Estimated current generative-AI referral share: 3.1%
MonthSource
—All AI assistants
—All AI assistants
—All AI assistants

DataForSEO — LLM mentions decision

Website intelligence — Collected evidence

Site-stated AI capabilities

Page typeEvidenceSource
identityLow pay-as-you-go pricing. No long-term contracts. Simple APIs. Scale to trillions of tokens. 100+ AI models.https://deepinfra.com/contact-sales
otherAccelerate your AI with developer-friendly APIs designed for performance and cost-efficiency.https://deepinfra.com/
otherGLM-5.3 is a large-scale reasoning model from Z.ai, built for complex software engineering and long-horizon agent tasks. It supports text input and output with a 1M-token context window, and improves on GLM-5.2 in coding and in the balance between performance and token efficiency.https://deepinfra.com/
otherGLM-5.3-Flash is a native multimodal model from Z.ai. It is suited for efficient coding and long-horizon agent tasks. Its hybrid sparse and linear attention architecture maintains accurate long-context behavior while reducing compute overhead.https://deepinfra.com/
otherKimi K3 is Moonshot AI's 2.8T-parameter open-weight multimodal reasoning model. Built for complex coding, knowledge work, and long-horizon agentic workflows, it excels at navigating large repositories, calling tools, debugging, and iterating on images, logs, tests, and runtime feedback. Its architecture relies on KDA and Attention Residuals for computational efficiency.https://deepinfra.com/
otherGLM-5.2 is Z-AI's latest flagship model for long-horizon tasks. It marks a substantial leap in long-horizon task capability over its predecessor GLM-5.1 and, for the first time, delivers that capability on a \*\*solid 1M-token context\*\*.https://deepinfra.com/
identityWe believe open-source models are the way forward. Companies deserve a reliable inference provider that gives them full control over their AI stack — not lock-in to proprietary models.Having inference-optimized, low-level infrastructure is critical for building efficient and scalable AI platforms. We built DeepInfra from the ground up — from GPU hardware to API layer — because every millisecond and every operation matters at scale.https://deepinfra.com/about
identityFounded in September 2022, our team brings deep experience building backend infrastructure at massive scale. We previously built and operated the infrastructure behind imo messenger — a platform with over 1 billion Play Store downloads and 200 million monthly active users, processing billions of messages daily.That experience taught us a fundamental truth: owning your infrastructure gives you control over cost, performance, and reliability that no cloud provider can match. We took that lesson and applied it to AI inference.https://deepinfra.com/about
identityLooking to scale your AI workloads with performance, security, and flexibility? We're here to help you unlock the full potential of DeepInfra for Enterprise.https://deepinfra.com/contact-sales
otherMoonshot AI’s Kimi K3 is the first open-source model to reach 2.8 trillion parameters, a scale that, until now, has been the exclusive territory of closed, proprietary systems. Built for long-horizon coding, agentic knowledge work, and multimodal reasoning, it activates 104 billion of those parameters per token through a sparse Mixture-of-Experts architecture, keeping inference tractable \[…\]https://deepinfra.com/blog
otherDeveloped by Anthropic, Claude is a family of highly performant, trustworthy AI models built for complex reasoning, advanced coding, and nuanced language understanding. The latest Claude 4 generation delivers breakthrough capabilities in analytical thinking, with Claude 4 Opus setting new standards for intelligence and Claude 4 Sonnet providing exceptional performance with remarkable efficiency.https://deepinfra.com/claude
otherClaude is a family of state-of-the-art large language models developed by Anthropic, designed for trustworthy and intelligent AI applications. Built with advanced reasoning capabilities, Claude models excel at complex analytical tasks, coding, multilingual communication, and nuanced language understanding. Available in multiple variants including Claude 4 Opus for maximum intelligence, Claude 4 Sonnet for balanced performance, and Claude 3.7 Sonnet with extended thinking capabilities, Claude is engineered with robust safety measures and constitutional AI training to provide reliable, helpful, and harmless AI assistance for enterprise and developer applications.https://deepinfra.com/claude
otherThese features combine to create a trustworthy, scalable AI solution for mission-critical applications.https://deepinfra.com/claude

These are first-party product claims, not independent measurements of AI-search visibility.

16

Marketing opportunities

Actions calculated directly from the collected evidence.

OpportunityRecommended actionEvidence
Competitor gapReview the sampled queries where linkedin.com appears.2 first-page appearances across deepinfra, deep infra

Website intelligence — Collected evidence

Website evidence gaps

  • features: no usable public page was collected; verify whether the site publishes this evidence.
  • integrations: no usable public page was collected; verify whether the site publishes this evidence.
  • customers: no usable public page was collected; verify whether the site publishes this evidence.
  • reviews: no usable public page was collected; verify whether the site publishes this evidence.
  • changes: no usable public page was collected; verify whether the site publishes this evidence.

Trust and proof

17

Customers, proof, and reviews

Published proof, customer signals, and review evidence.

Independent reviews

PlatformPageHow it was foundNote
ChatForestDeepInfra Review: The Open-Source Inference Specialist — ChatForestGrounded web searchtraining, is the primary AI cost center. The founders understood the problem early, built the right architecture, and maintained competitive pricing ... The weaknesses are real: no official MCP server, no speed records on large models, limited brand
ClusterMAXDeepInfra Review 2026: Underperforming Tier GPU Cloud / ClusterMAX by SemiAnalysisGrounded web searchDeepInfra is a recent entrant into the GPU cloud game, starting as an inference provider and now renting out some of the cheapest B200’s on the market. We expect that with a relatively lumpy business like inference growing faster than can be forecasted on the compute side, DeepInfra is looking for customers to soak up some of their unused capacity. In other words, they are taking the opposite approach when compared to Nebius or GMI’s inference endpoint business that is expanding on an existing c

Customer proof

No named customers, testimonials, or customer case studies were found.

Independent mentions

  • I too run openweb-ui locally and use deepinfra.com as my backend... — I too run openweb-ui locally and use deepinfra.com as my backend. It has been working very well, and I am quite happy with deepinfra's pricing and privacy policy. I have set up the same thing at work for my colleagues, and they find it better than openai for their tasks.
  • If your application is pricing sensitive, check out DeepInfra.com... — If your application is pricing sensitive, check out DeepInfra.com - they have a variety of models in the pennies-per-mil range. Not quite as fast as Mercury, Groq or Samba Nova though. (I have no affiliation with this company aside from being a happy customer the last few years) ... DeepInfra is amazing in terms of price, like really, they have the Qwen3 embedding model for $0.002 per mn tokens. That's an order of magnitude cheaper than most alternatives with better benchmark scores. But the per
  • I have been using AI modelvia deepinfra, afaik they provide no data retention. ... / Hacker News — I have been using AI modelvia deepinfra, afaik they provide no data retention. ... / Hacker News ... I have been using AI modelvia deepinfra, afaik they provide no data retention. Im probably going to deploy the full model on their infra instead of paying credits at some point, so far the experience has been pretty good
  • Show HN: Deepinfra.com Serverless AI model hosting (top models from HF) / Hacker News — can easily build apps with AI, without needing to host any models or running any GPUs. We picked the top ... and made them available on our platform. What other models would you like to see deployed?

External links were grounded in one live web search. Search snippets are leads, not independently scraped page content; rejected links remain available in Review evidence.

18

Company, security, and trust

Ownership, policies, security signals, and public trust evidence.

SignalFindingSource
Company and ownershipFounded in September 2022, our team brings deep experience building backend infrastructure at massive scale. We previously built and operated the infrastructure behind imo messenger — a platform with over 1 billion Playsource
Contact and supportAI modelV4 Pro is an open-weight reasoning model for coding, long-context analysis, and agent workflows. Artificial Analysis benchmarks it across 10 API providers, and DeepInfra ranks second on blended price at $0.59 pe[source](https://deepinfra.com/blog/AI modelv4-pro-pricing-guide-2026-providers-cost-analysis)
Legal and privacyNot published on the collected pages.—
Security and complianceWith our zero retention policy your inputs, your outputs, and your user data stay private. DeepInfra is SOC 2 and ISO 27001 certified. We follow the best practices in information security and privacy.source
Uptime and status pageDedicated hardware, procured and operated by DeepInfra. Full ownership, Tier 3 datacenter, 99.982% uptime SLA.source
Domain registered2017-12-08—
Domain expires2029-12-08—

Not found on the collected pages: legal and privacy. This only means Scout did not find it on the pages it read; it says nothing about the company itself.

19

Documentation and product updates

Help resources, product guidance, and visible changes over time.

Resource or updateTypeWhat is availableDate or freshness
AI modelV4.1-Flash Pricing Guide for DevelopersGuideGuides, comparisons, pricing breakdowns, use cases, and how-to articles. ([source](https://deepinfra.com/blog/AI modelv4-1-flash-pricing-guide))Not dated
AI modelV4 Pro Pricing Guide 2026: Pricing, Providers & Cost ComparisonGuideGuides, comparisons, pricing breakdowns, use cases, and how-to articles. ([source](https://deepinfra.com/blog/AI modelv4-pro-pricing-guide-2026-providers-cost-analysis))Not dated
GLM-5.1 Pricing Guide: API Cost Comparison & AnalysisGuideGuides, comparisons, pricing breakdowns, use cases, and how-to articles. (source)Not dated
GLM-5.3 Provider Pricing Guide: Costs ComparedGuideGuides, comparisons, pricing breakdowns, use cases, and how-to articles. (source)Not dated
Kimi K2.6 Pricing Guide 2026: Compare Costs & Deployment StrategiesGuideGuides, comparisons, pricing breakdowns, use cases, and how-to articles. (source)Not dated
MiMo-V2.5 Provider Pricing and Deployment GuideGuideGuides, comparisons, pricing breakdowns, use cases, and how-to articles. (source)Not dated
AI modelV4 Pro Pricing Guide 2026: Pricing, Providers & Cost ComparisonRelease notesPublic product change history. ([source](https://deepinfra.com/blog/AI modelv4-pro-pricing-guide-2026-providers-cost-analysis))April 24, 2026
Gemma 4 Pricing, Benchmarks & Real-World Cost AnalysisSupportPublic contact and support channel. (source)April 3, 2026

Not found in the collected public sources: public roadmap, status page, separate help center or knowledge base.

Technical

20

Technical and delivery signals

Delivery model, platforms, API, data ownership, reliability claims and release activity.

SignalFindingSource
Delivery model (cloud, self-hosted, desktop, browser extension)Cloud-based API platform S13.S13
Platforms and appsWeb-based API, no native apps mentioned S13.S13
API and extensibility (API, SDK, webhooks, MCP, plugins)Offers OpenAI-compatible API with function calling and JSON mode S177 [S103](https://deepinfra.com/blog/AI modelv4-pro-pricing-guide-2026-providers-cost-analysis).S177 [S103](https://deepinfra.com/blog/AI modelv4-pro-pricing-guide-2026-providers-cost-analysis)
Data ownership and exportZero retention policy ensures data privacy S13.S13
Performance and reliability claimsBuilt from GPU hardware to API layer for efficiency and scalability S1.S1
Release activityNot published on the collected pages.—
21

Technical site audit

A bounded multi-page crawl with page-level issues and URLs.

Scout — Bounded technical crawl

  • Pages crawled: 15 of 15 maximum
  • Technical health: 90/100
  • Critical issues: 0
  • Warnings: 29
  • Notices: 1

Issues

SeverityIssueValueAffected URL
warningPage should have one primary H10https://deepinfra.com/
warningTitle length should be reviewed78https://deepinfra.com/series-b
warningPage should have one primary H10https://deepinfra.com/series-b
noticeMeta description length should be reviewed214https://deepinfra.com/claude
warningMissing canonical URL—https://deepinfra.com/claude
warningMissing canonical URL—https://deepinfra.com/deepseek
warningDuplicate title in audit sample11https://deepinfra.com/models
warningDuplicate title in audit sample11https://deepinfra.com/models/automatic-speech-recognition
warningDuplicate title in audit sample11https://deepinfra.com/models/embeddings
warningDuplicate title in audit sample11https://deepinfra.com/models/reranker
warningDuplicate title in audit sample11https://deepinfra.com/models/text-generation
warningDuplicate title in audit sample11https://deepinfra.com/models/text-to-image
warningDuplicate title in audit sample11https://deepinfra.com/models/text-to-music
warningDuplicate title in audit sample11https://deepinfra.com/models/text-to-speech
warningDuplicate title in audit sample11https://deepinfra.com/models/text-to-video
warningDuplicate title in audit sample11https://deepinfra.com/models/world-model
warningDuplicate title in audit sample11https://deepinfra.com/models/zero-shot-image-classification
warningDuplicate meta description in audit sample2https://deepinfra.com/series-b
warningDuplicate meta description in audit sample2https://deepinfra.com/deepseek
warningDuplicate meta description in audit sample11https://deepinfra.com/models
warningDuplicate meta description in audit sample11https://deepinfra.com/models/automatic-speech-recognition
warningDuplicate meta description in audit sample11https://deepinfra.com/models/embeddings
warningDuplicate meta description in audit sample11https://deepinfra.com/models/reranker
warningDuplicate meta description in audit sample11https://deepinfra.com/models/text-generation
warningDuplicate meta description in audit sample11https://deepinfra.com/models/text-to-image
warningDuplicate meta description in audit sample11https://deepinfra.com/models/text-to-music
warningDuplicate meta description in audit sample11https://deepinfra.com/models/text-to-speech
warningDuplicate meta description in audit sample11https://deepinfra.com/models/text-to-video
warningDuplicate meta description in audit sample11https://deepinfra.com/models/world-model
warningDuplicate meta description in audit sample11https://deepinfra.com/models/zero-shot-image-classification

Crawled pages

StatusTitleH1sWordsResponseURL
200Machine Learning Models and Infrastructure \DeepInfra0144062 ms
200DeepInfra Raises $107M Series B to Scale Inference Infrastructure \Deep Infra079922 ms
200Models \Machine Learning Inference \DeepInfra11719
200Models \Machine Learning Inference \DeepInfra1607
200Models \Machine Learning Inference \DeepInfra11578
200Models \Machine Learning Inference \DeepInfra1462
200Models \Machine Learning Inference \DeepInfra11580
200Models \Machine Learning Inference \DeepInfra11157
200Models \Machine Learning Inference \DeepInfra1300
200Models \Machine Learning Inference \DeepInfra11422
200Models \Machine Learning Inference \DeepInfra11097
200Models \Machine Learning Inference \DeepInfra1334
200Models \Machine Learning Inference \DeepInfra1368
200Claude AI APIs via DeepInfra1117434 mshttps://deepinfra.com/claude
200DeepSeek AI Model APIs via DeepInfra1886185 mshttps://deepinfra.com/deepseek

This is a bounded Scout crawl. Core Web Vitals and Lighthouse scores are not claimed unless a dedicated performance audit is connected.

TabAPI — Website capture

Homepage screenshot

  • Screenshot stored permanently: Yes

Website intelligence — Collected evidence

Website collection providers

SettingResultRequestsCredits
Enabledcomplete15—
Enabledpartial7—
Disableddisabled00
22

Search Console and Analytics

First-party search and behavioral data connection state.

TabAPI — Modeled acquisition channels

ChannelEstimated share
direct48.9%
search37.8%
search organic37.2%
search paid0.7%
social2.7%
social organic2.7%
social paid0.0%
referrals6.2%
paid referrals0.1%
mail1.2%
gen ai3.1%
affiliate0.0%
other0.0%

First-party connections

IntegrationStatusData available after connection
Google Search ConsoleNot connectedClicks, impressions, CTR, average position, queries, pages, countries, and devices
Google AnalyticsNot connectedOrganic sessions, engagement, landing pages, conversions, geography, and devices

No first-party Search Console or Analytics numbers are shown until the site owner authorizes the corresponding Google account. TabAPI values above are modeled estimates, not private analytics totals.

Limits and method

23

Alternatives, limitations, and open questions

Alternatives include AI synthesis, Fireworks, Novita, AI model, SiliconFlow, Together.ai, and Google AI Studio [S95](https://deepinfra.com/blog/AI modelv4-pro-pricing-guide-2026-providers-cost-analysis) S117. Evidence gaps: no customer reviews, no detailed security certifications, and no explicit uptime SLAs. Open questions: actual performance benchmarks and enterprise support details.

24

Sources, method, and limitations

Evidence inventory, collection method, provider use, and constraints.

This report is based on 15 collected pages from deepinfra.com, including the homepage, about, pricing, and blog posts. Static and browser rendering rendering were used. External proof search was enabled but no verification requests were made. The evidence catalog includes 180 items, but only a subset is cited here. Limitations include potential recency of pricing data and lack of independent review verification.

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