Inference APIs · Reviewed 19 Oct 2026

Baseten

Deploy and scale AI models in production.

free tier · baseten.co ↗

Paid against free › Inference APIs › Baseten

Baseten at a glance

SEO analysis

Collected Oct 19, 2026

baseten.co: an estimated 443,043 total monthly visits and about 7,086 monthly organic visits across 1,240 ranking keywords. Scout crawled 15 pages and measured a technical health score of 97/100.

Overview

01

Summary

The useful answer before the supporting detail.

Baseten is a cloud-native AI inference platform for serving open-source, custom, and fine-tuned models at scale S64. It is used by engineering teams to deploy, optimize, and manage models and compound AI systems with a focus on performance and reliability S64. The platform provides pre-optimized model APIs, training capabilities, and orchestration tools, enabling rapid iteration and production readiness S22 S14 S8.

02

Product identity and positioning

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

  • Identity: Baseten is an AI inference platform for serving models in production S64.
  • Core purpose: It solves the problem of deploying and scaling AI models with high performance and reliability S1.
  • Intended users: Engineering teams and organizations that need to serve AI models at scale S64.
  • Product scope: A platform offering model APIs, training, and orchestration (Chains) S22 S14 S8.
  • Positioning: Baseten positions itself as the fastest, most reliable inference platform S1.
  • Claimed distinction: It claims to provide ultra-low latency and cross-cloud high availability S8 S22.
03

Use cases and audiences

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

AudiencePractical use case
AI product teamsIntegrate pre-optimized model APIs into products for production use S22.
ML engineersTrain custom models and deploy them to inference on the same platform S64.
EnterprisesDeploy models in their own VPCs for data residency and security S64 S101.
Voice AI developersBuild real-time audio streaming for AI phone calls and voice agents S64.
Image generation teamsServe custom models or ComfyUI workflows for high-quality image generation S64.

Features

09

Features and capabilities

Core functions and evidence-backed product capabilities.

CapabilityWhat it does
Model APIsPre-optimized APIs for frontier models, with structured outputs and tool use S22.
Custom model deploymentDeploy any custom or proprietary model with performance optimizations and horizontal scale S64.
Training (Loops)Train models with async RL and deploy checkpoints to inference with one command S14.
Chains orchestrationWrite multi-step ML workflows in Python, with per-step hardware and scaling settings S8.
Real-time audio streamingSupports low time-to-first-byte for voice agents and translation S64.
AutoscalingCross-cloud autoscaling for low latency and high reliability S31.
Security and complianceSOC 2 Type II certified and HIPAA compliant, with no storage of inference inputs/outputs S22.
10

Integrations and ecosystem

Connected products, exports, APIs, and workflow compatibility.

Integration or interfaceTypeWhat it enables
RetoolIntegrationSupports open-source models like AI modeland Llama in Retool apps S22.
Billing usage APIAPIQuery billing usage programmatically via `GET /v1/billing/usage_summary` S131.
Billing data exportData portabilityExport model and billing usage data as CSV for analysis S129.
SSH accessInterfaceLive debugging on running training containers S14.
Python SDKSDKWrite training scripts and Chains workflows in Python S8 S14.

Pricing

11

Pricing and plans

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

Plan or offerVerified price and billingIncludedLimits
Basic$0 per month, pay as you go S101Model deployment and management features S136Dedicated deployments not included S101
ProNot publishedPriority GPUs, higher rate limits S101Not established
EnterpriseContact sales, custom S101Advanced RBAC S101Not established
Model APIsPriced per 1M tokens S101Pre-optimized models S64Not established
Dedicated deploymentsNot establishedHardware of your choosing S22Not established
Self-host deploymentsNot establishedRun in your own VPC S64Not established

Competition

12

Competitive landscape

Domains competing for the same organic search demand.

Sampled competitors

CompetitorFirst-page appearancesSampled queriesAverage positionQueries observed
linkedin.com222.5baseten careers, baseten ai
jobs.ashbyhq.com215baseten careers
builtin.com111baseten careers
cloud.google.com113baseten ai
wellfound.com114baseten careers
reddit.com114baseten ai
consider.com115baseten careers
wsj.com115baseten ai
ziprecruiter.com116baseten careers
ai.engineer116baseten ai

Website intelligence — Collected evidence

Customers, testimonials, and first-party review claims

Independent review sources discovered

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

14

AI visibility

Measured ChatGPT and Google AI mentions with cited sources.

AI-assistant referral traffic

  • Estimated current generative-AI referral share: 1.1%
MonthSource
—All AI assistants
—All AI assistants

Website intelligence — Collected evidence

Site-stated AI capabilities

Page typeEvidenceSource
featuresServe and scale open-source and custom AI models on the fastest, most reliable inference platform.https://www.baseten.co/
featuresNotion case studyhttps://www.baseten.co/
featuresServe open-source, custom, and fine-tuned AI models on infra purpose-built for high-performance inference at massive scale.https://www.baseten.co/
featuresDeploy, optimize, and manage your models and compound AI with a delightful developer experience built into Baseten's inference platform.https://www.baseten.co/
featuresLogohttps://www.baseten.co/platform/cloud-native-infrastructure/
featuresOxen AI logohttps://www.baseten.co/platform/cloud-native-infrastructure/
featuresSullyAI logohttps://www.baseten.co/platform/cloud-native-infrastructure/
featuresLogohttps://www.baseten.co/platform/embedded-engineering/
featuresOxen AI logohttps://www.baseten.co/platform/embedded-engineering/
featuresSullyAI logohttps://www.baseten.co/platform/embedded-engineering/
featuresDeploy models and compound AI systems with built-in tooling, observability, and logging.https://www.baseten.co/platform/model-management/
featuresLogohttps://www.baseten.co/platform/model-management/
featuresOxen AI logohttps://www.baseten.co/platform/model-management/
featuresLogohttps://www.baseten.co/platform/model-performance/
featuresOxen AI logohttps://www.baseten.co/platform/model-performance/
featuresSullyAI logohttps://www.baseten.co/platform/model-performance/
featuresDecagon websitehttps://www.baseten.co/
featuresHarvey websitehttps://www.baseten.co/
featuresNotion case studyhttps://www.baseten.co/
featuresServe open-source, custom, and fine-tuned AI models on infra purpose-built for high-performance inference at massive scale.https://www.baseten.co/

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

15

Marketing opportunities

Actions calculated directly from the collected evidence.

OpportunityRecommended actionEvidence
Competitor gap2 first-page appearances across baseten careers, baseten ai

Website intelligence — Collected evidence

Website evidence gaps

  • integrations: 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.
  • identity: no usable public page was collected; verify whether the site publishes this evidence.
  • technical: no usable public page was collected; verify whether the site publishes this evidence.

Trust and proof

16

Customers, proof, and reviews

Published proof, customer signals, and review evidence.

Independent reviews

PlatformPageHow it was foundNote
FeaturedCustomers56 Baseten Customer Reviews & References / FeaturedCustomersGrounded web searchRead 29 Baseten reviews and testimonials from customers, explore 23 case studies and customer success stories, and watch 4 customer videos to see why companies chose Baseten as their Model Deployment Software ... Customer Rating Review Score based on 785 reference ratings 4.8/5.0 (785) ... “Baseten provides us with all of the speed and control of self-serving our model deployment, without any of the annoying config, infra, and health checks.” Ryan Delk Chief Executive Officer & Co-Founder
Product HuntBaseten Reviews (2026) / Product HuntGrounded web searchReviews praise Baseten for dependable, fast model serving and smooth scaling, with an easy path from models to live APIs and low ops overhead. Makers of toby, Not Diamond, and Bland AI highlight its role at the core of their AI infrastructure, citing quick deployment, strong support, and reliable throughput for production workloads. Users echo the sentiment: intuitive onboarding, clear tooling, and scalable deployments that handle growth without friction. Overall, a polished, supportive platform
SerchaiBaseten: reviews and analysis / SerchaiGrounded web searchBaseten removes the heaviest part of ML in production: GPUs, scaling ... . The official rate card is identical figure by figure, the cold-start docs have ... changed a word, and the official changelog carries no new entry since 30 July. There are no

Customer proof

Proof typeNamed customer or sourceEvidence
Case studyPatreoncustomer case study — for you really, really quickly. (Patreon saves nearly $600k/year in ML resources with Baseten)
Case studyRimecustomer case study — Baseten provided distributed model serving infrastructure with multi-region deployment, smart batching, CPU/GPU workload separation, and flexible GPU scaling. (Case Study: Rime achieves sub-300 ms p99 latency and 100% uptime with Baseten)

Independent mentions

  • Baseten on Reddit — Baseten ( baseten.co) scores 81 out of 100 for Reddit visibility, based on 24 tracked Reddit mentions across communities such as r/ProgrammerHumor, r/LocalLLaMA, r/Agent_AI, r/StableDiffusion, r/techsales. The brand is categorised under AI Model Inference
  • Show HN: Baseten – Build ML-powered applications / Hacker News — Three months ago, I took a job at Baseten to help craft and document an application builder that lets data scientists build full-stack, production-ready applications around their ML models without worrying about containers, Flask, or React. From my first day, everyone was focused on what would happen today: opening up our public beta. I’m super excited to see what you build with Baseten. ... While Baseten is built for data scientists and machine learning engineers, something I’m particularly exc
  • Customer stories — ## How Notion achieved 2-3x lower latency with AI Meeting Notes ... ## How Parallel Web Systems pioneers programmatic web with high-throughput agentic inference ... agentic web research with Baseten's throughput-optimized inference and
  • How Zed is reimagining the code editor from the ground up — As a result, we’ve exceeded their initial performance goals, powering: 1. 100% uptime 2. 45% lower p90 latency 3. 3.6x higher throughput 4. Unlimited autoscaling across multiple regions ... after launch, Zed now delivers over 2x faster Edit Prediction
  • Praktika delivers ultra-low-latency transcription for global language education with Baseten — Their optimized Whisper has: 1. <300ms p50 latency 2. 50% cost savings This performance improvement means Praktika users can enjoy more seamless and lifelike conversations with their Gen AI language tutors.

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.

17

Company, security, and trust

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

SignalFindingSource
Company and ownershipFounded by engineerssource
Contact and supportWe built real-time audio streaming to power AI phone calls, voice agents, translation, and more with the lowest time to first byte (TTFB).source
Legal and privacyNot published on the collected pages.—
Security and complianceWe take extensive security measures, never store inference inputs or outputs, and are SOC 2 Type II certified and HIPAA compliant.source
Uptime and status pageScale workloads across any region and any cloud (in our cloud or yours), with blazing-fast cold starts and 99.99% uptime out of the box.source

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.

18

Documentation and product updates

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

Resource or updateTypeWhat is availableDate or freshness
40% price reduction across all instance typesChangelogBase per-minute CPU and GPU pricing is now 40% lower across all instance types, with volume discounts available on our Pro plan. We started getting a better... (source)Not dated
Cache token pricing now available for Model APIsChangelogCached input tokens are billed at a discounted rate on Model APIs for all models (excluding AI modelOSS), starting April 17, 2026. Cache token pricing is applied... (source)April 17, 2026
Export billing usage dataChangelogYou can now export your model and billing usage data for in-depth analysis in your preferred tool. (source)Not dated
Install system packagesChangelogYou can now specify system-level packages that you want to install in your Python environment on Baseten. (source)Not dated
Retrieve billing usage via APIChangelogYou can now query your billing usage programmatically using the new GET /v1/billing/usage_summary endpoint. Pass a date range of up to 31 days to get a... (source)Not dated
Shifting billing to the 1st of each monthChangelogStarting December 1, we’ll issue invoices at the beginning of each month. Before then, you’ll receive a one-time invoice for your current usage. After that,... (source)Not dated
Usage-based pricing with no platform fee for Startup plan workspacesChangelogBaseten has transitioned to purely usage-based pricing for all workspaces not on our Enterprise plan. There is no monthly or annual platform fee for... (source)Not dated
View detailed billing and usage metricsChangelogYou can now view a daily breakdown of your model usage and billing information to get more insight into usage and costs. (source)Not dated

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

Technical

19

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 platform with self-host and hybrid deployment options S101.S101
Platforms and appsWeb-based platform S64.S64
API and extensibility (API, SDK, webhooks, MCP, plugins)Provides APIs for model serving and billing, and a Python SDK for training and Chains S131 S8 S14.S131 S8 S14
Data ownership and exportBilling usage data can be exported as CSV S129.S129
Performance and reliability claimsClaims 99.99% uptime and blazing-fast cold starts S64.S64
Release activityMultiple changelog entries indicate ongoing updates S121 S125 S129.S121 S125 S129
20

Measured infrastructure

Domain, certificate, and hosting signals, measured directly.

SignalFinding
First archived2021-05-20 — web archive
TLS certificateLet's Encrypt, valid, expires 2027-01-15
Security headersHSTS, CSP, X-Frame-Options
Headers not servedX-Content-Type-Options, Referrer-Policy
Server headerVercel
Mail handled byaspmx.l.google.com, alt2.aspmx.l.google.com
Nameserversns-cloud-e1.googledomains.com, ns-cloud-e2.googledomains.com

Not measurable: rdap: no RDAP server published for .co; rdap: exceeded the overall budget; wayback: exceeded the overall budget; tls: exceeded the overall budget; dns: exceeded the overall budget; headers: exceeded the overall budget. A gap here means the lookup was unavailable, not that the finding is negative.

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: 97/100
  • Critical issues: 0
  • Warnings: 8
  • Notices: 2

Issues

SeverityIssueValueAffected URL
warningPage should have one primary H12https://www.baseten.co/
noticeLow visible word count82https://www.baseten.co/talk-to-us/openai/
warningPage should have one primary H12https://www.baseten.co/
noticeLow visible word count75https://www.baseten.co/talk-to-us/
warningTitle length should be reviewed92https://www.baseten.co/resources/customers/openevidence-delivers-instant-medical-information-with-baseten/
warningTitle length should be reviewed89https://www.baseten.co/resources/customers/how-parallel-web-systems-pioneers-programmatic-web-with-high-throughput-agentic-i/
warningDuplicate title in audit sample2https://www.baseten.co/
warningDuplicate title in audit sample2https://www.baseten.co/
warningDuplicate meta description in audit sample2https://www.baseten.co/
warningDuplicate meta description in audit sample2https://www.baseten.co/

Crawled pages

StatusTitleH1sWordsResponseURL
200Inference Platform: Deploy AI models in production \Baseten21172172 ms
200OpenAI Partnership182225 mshttps://www.baseten.co/talk-to-us/openai/
200Inference Platform: Deploy AI models in production \Baseten21172172 ms
200Model library1721295 mshttps://www.baseten.co/library/
200Customer stories1708308 mshttps://www.baseten.co/resources/customers/
200Cloud Pricing1126851 mshttps://www.baseten.co/pricing/
200Talk to us175338 mshttps://www.baseten.co/talk-to-us/
200How Notion achieved 2-3x lower latency with AI Meeting Notes1333411 mshttps://www.baseten.co/resources/customers/how-notion-acheived-2-3x-lower-latency-with-ai-meeting-notes/
200OpenEvidence delivers instant, accurate medical information with the Baseten Inference Stack11297752 mshttps://www.baseten.co/resources/customers/openevidence-delivers-instant-medical-information-with-baseten/
200How Parallel Web Systems pioneers programmatic web with high-throughput agentic inference11522444 mshttps://www.baseten.co/resources/customers/how-parallel-web-systems-pioneers-programmatic-web-with-high-throughput-agentic-i/
200Inference at Scale with Dedicated Deployments \Baseten1901218 ms
200Production-First Model APIs - Baseten Inference Stack1119899 mshttps://www.baseten.co/products/model-apis/
200GLM-5.3 \Model library1761197 ms
200AI modelV4 Pro 0813 \Model library1521175 ms
200Kimi K3 \Model library1736157 ms

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

22

Search Console and Analytics

First-party search and behavioral data connection state.

Modeled acquisition channels

ChannelEstimated share
direct38.1%
search36.4%
search organic19.9%
search paid16.5%
social16.1%
social organic13.2%
social paid2.9%
referrals5.8%
paid referrals0.5%
mail2.0%
gen ai1.1%
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. Scout traffic model values above are modeled estimates, not private analytics totals.

Limits and method

23

Limitations and open questions

Known constraints and missing evidence from the collected pages.

The collected pages do not mention any competitors by name. Evidence gaps include lack of detailed pricing for Pro and Enterprise plans, no independent review ratings, and no explicit data export for model artifacts. Open questions include the exact scope of the Enterprise plan's advanced RBAC and the specifics of self-hosted deployment options.

24

Sources, method, and limitations

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

This report is based on 15 collected pages from baseten.co, including product pages, pricing, changelogs, and case studies. The evidence catalog includes first-party content and one external case study. External proof search was used to verify the existence of a case study but not its content. Limitations: no third-party review sites were scraped, and some pricing details are not published.

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