Frontier Model APIs Backed By SLA-Based Enterprise Support

OpenAI offers its GPT-6 model family through a developer API with built-in tools for web search, file search, code execution and agents, alongside ChatGPT Business and Enterprise plans for teams. It suits US businesses that want a broad model lineup and a clear path from self-serve help center support to 24/7, SLA-backed enterprise support.

About OpenAI

Industry leader in connected fleet operations

Market Position

The most widely used AI platform, with more than 1.2 billion weekly ChatGPT users and enterprise now its largest source of revenue.

Innovation Focus

The GPT-6 family (Astra, Sol and Luna), Ultrafast model variants and agent-building tools across the API and Codex.

Core Strengths

A tiered model lineup, mature developer tooling, a 99.9% uptime SLA on Scale Tier and SLA-backed enterprise support.

Use Cases

Customer service and voice agents, coding assistants, document analysis, data extraction, research and internal knowledge assistants.

Discover OpenAI’s Complete LLM Platform Suite

Core Products & Solutions

Frontier models, built-in tools and agent infrastructure on one developer platform
GPT-6 Model Family

GPT-6 Model Family

Three tiers: GPT-6 Astra for the hardest work, GPT-6.1 Sol for everyday reasoning and coding, and GPT-6 Luna for high-volume, structured tasks. Third-party coverage reports context windows of about 1.05 million tokens.

Responses API And Built-In Tools

Responses API And Built-In Tools

A single API for building on OpenAI models, with hosted web search, file search and code interpreter tools that are billed per call or per session.

Agents SDK And AgentKit

Agents SDK And AgentKit

Developer frameworks for building, orchestrating and evaluating multi-step agents that call tools and hand tasks between specialized agents.

Realtime API

Realtime API

Low-latency speech-to-speech for voice agents that need to listen, reason and respond in real time over phone or web.

Codex

Codex

OpenAI’s coding agent, which had more than two million weekly users in March 2026. It runs on the same GPT-6 models offered through the API.

ChatGPT Business And Enterprise

ChatGPT Business And Enterprise

Workspace plans that put the same models in front of employees, with SSO, admin controls, workspace agents and no training on business data by default.

OpenAI’s Pricing Plans

Pricing Overview

API pricing is published per million tokens; ChatGPT Business is priced per seat; Enterprise and Scale Tier are quote-based

API Pay-As-You-Go

Developers and product teams building on OpenAI models

From

$0.10

From $0.10 input / $0.50 output per 1M tokens (GPT-6 Luna)

  • GPT-6.1 Sol at $2.00 input / $10.00 output per 1M tokens
  • GPT-6 Astra at $10.00 input / $50.00 output per 1M tokens
  • Cached input at $0.10 per 1M tokens on GPT-6.1 Sol
  • Flex and Batch processing at 50% of standard rates
  • Fast mode at 2x standard rates for lower latency
  • Help center chat support, documentation and developer community
Custom Quote
Get A Quote

ChatGPT Business

Teams of 2 to 200 employees

$20/seat/month

$20/seat/month billed annually ($25 monthly); Premium seats $100/seat/month billed annually ($125 monthly)

  • Standard and Premium seats can be mixed in one workspace
  • Premium seats include 5x the usage of Standard, with no 5-hour limit
  • SAML SSO and MFA
  • Centralized billing, usage analytics and spend controls
  • Workspace agents
  • No training on business data by default
Custom Quote
Get A Quote

Enterprise And Scale Tier

Large organizations that need SLAs, reserved capacity and governance

Custom

Pricing

Custom pricing, contact sales

  • 24/7 priority support with SLAs
  • Premium support with faster responses, a dedicated contact and on-call availability
  • AI advisors for eligible organization-wide rollouts
  • Scale Tier with a 99.9% uptime SLA and reserved throughput in 30-day units
  • SCIM, EKM, role-based access controls and custom data retention
  • Data residency in ten regions, with invoicing and volume discounts
Custom Quote
Get A Quote
WHO

Who Is OpenAI Best For?

Ideal customer segments and business profiles

Small Businesses

1-25 Employees

GPT-6 Luna and pay-as-you-go billing keep prototypes cheap, and ChatGPT Business starts at two seats, but self-serve support starts with a chatbot and has no SLAs.

Mid-Market Companies

26-100 Employees

A good fit for product teams that ship on the API and roll out ChatGPT Business to staff, though a dedicated support contact requires Enterprise.

Enterprise Companies

100+ Employees

The strongest fit: 24/7 support with SLAs, premium support, AI advisors, Scale Tier uptime guarantees and data residency in ten regions.

Teams Building Voice And Customer Service Agents

Any Size

The Realtime API, the Agents SDK and low-cost models like GPT-6 Luna suit teams running high volumes of calls and chats.

OpenAI’s benefits

Measurable Impact & Benefits

Figures from OpenAI customer stories and OpenAI’s September 2026 business update

21x

Faster Deal Screening

V7 cut a full-day screening process for asset managers to 15 minutes.

78%

Lower Cost Per Document

V7 reports this saving after moving document work to GPT-5.6 Luna from GPT-5.4 mini.

Up To 65%

Of Calls Resolved

Ringg’s voice and chat agents resolve up to 65% of requests, across more than 7 million connected calls a month.

88%

Faster Response Time At Policybazaar

Response times fell from 8-12 minutes to under 60 seconds on Ringg’s OpenAI-based agents.

70%

Lower Operating Costs At Practo

Practo also reports 85% first-call resolution through Ringg’s agents.

65%

Autonomous Resolution At Circles

The CareX customer service agents resolve most supported interactions without a human.

2 Days To 30 Min

Analysis Time At Balyasny

Balyasny Asset Management cut central bank speech analysis from two days to about 30 minutes.

98%

Advisor Team Adoption At Morgan Stanley

More than 98% of Morgan Stanley’s advisor teams use its internal OpenAI-based assistant.

OpenAI’s REVIEWS

OpenAI Real reviews

Reviewers praise ease of use and time savings, but support and billing complaints dominate consumer review sites

Our Rating:

4.5

Trustpilot reviews
1.3
G2 reviews
4.6
3,115
Capterra
4.4
407
Oksana L., Architectural Project Manager Assistant, Mid-Market
The app has an easy, intuitive design.
Adam, Computer Software
It is like a magic assistant for work and home life.
Alternatives

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See how OpenAI stacks up against competitors

Anthropic offers a broader agent toolset and a 1M-token context across its lineup at standard pricing, while OpenAI offers 24/7 SLA-backed enterprise support…

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OpenAI BENEFITS

OpenAI’s Pros & Cons

Balanced evaluation to help you make an informed decision

Strengths

  • Enterprise plans include 24/7 priority support with SLAs
  • Premium support adds faster responses, a dedicated contact and on-call availability
  • AI advisors help eligible enterprises with organization-wide rollouts
  • Scale Tier offers a 99.9% uptime SLA with reserved throughput
  • Three-tier GPT-6 lineup, from $0.10 Luna to $10 Astra per 1M input tokens
  • Hosted web search, file search and code interpreter in the same API
  • Help center chat is available in most languages

Limitations

  • Self-serve API and ChatGPT users reach a chatbot first, with no SLA
  • Trustpilot reviews average 1.3, citing hard-to-reach human support and billing disputes
  • Prompts over 272K input tokens are billed at higher rates for the whole request
  • Hosted tools add per-call and storage fees on top of tokens
  • Fast and Ultrafast modes cost 2x to 6x standard rates
  • G2 reviewers report inaccurate answers and usage limits

Our Verdict

OpenAI earns its Best in Support placement for LLM platforms and APIs through the support structure around its models. Enterprise customers get 24/7 priority support backed by SLAs, can add premium support with a dedicated contact and on-call availability, and may qualify for AI advisors on large rollouts. Scale Tier adds a 99.9% uptime SLA with reserved throughput, and the help center chat runs in most languages. Capterra reviewers rate ChatGPT’s customer support 4.0 out of 5. The placement comes with a clear caveat. The strongest support sits behind Enterprise contracts, and self-serve API and Business customers start with a chatbot and have no response-time guarantee. Trustpilot rates OpenAI 1.3 out of 5 across 1,250 reviews, mostly over hard-to-reach support and billing. For companies that will sign an Enterprise or Scale Tier agreement, OpenAI is a well-supported choice; small teams on pay-as-you-go should expect a self-serve experience.

Resources

Resources & Documentation

Detailed materials for deeper evaluation

API Pricing Page

Per-token rates for GPT-6 models across Standard, Flex/Batch, Fast and Ultrafast tiers, plus tool pricing.

ChatGPT Business And Enterprise Pricing

Seat prices, plan features and Enterprise support commitments.

Scale Tier For API Customers

Uptime and latency SLAs, token unit pricing and minimum commitments.

How To Contact Support

OpenAI’s help center guide to its chat-based support and escalation.

The Work Now Within Reach

OpenAI’s September 2026 update with business customer counts and outcomes.

V7 Customer Story

How V7 cut document costs 78% and screened deals 21x faster.

Ringg Customer Story

How Ringg’s agents resolve up to 65% of customer calls.

OpenAI Status Page

Live service status and incident history for the API and ChatGPT.

What to Know

What to Know Before Buying

Key considerations for evaluating OpenAI
  • The API is pay-as-you-go with no setup fee
  • Models must be chosen per workload to balance cost and quality
  • Eligible Enterprise customers get hands-on implementation and change management help
  • The API is accessed over REST with official SDKs, while ChatGPT Business and Enterprise add SSO, and Enterprise adds SCIM and a Compliance API for governance.
  • Standard usage is governed by rate limits, so high-volume workloads may need Batch for throughput or Scale Tier for reserved capacity with a 99.9% uptime SLA.
  • Long prompts over 272K input tokens, web search at $10 to $25 per 1,000 calls, file search at $2.50 per 1,000 calls plus storage, code interpreter sessions, a 10% data-residency uplift and Fast or Ultrafast modes all add cost.
  • Prompts, tool definitions and evaluations usually need retuning when moving from another provider, and older OpenAI models are periodically deprecated.
  • The API is pay-as-you-go. ChatGPT Business is billed monthly or annually, and Enterprise and Scale Tier use negotiated terms, with Scale Tier units bought for at least 30 days.

Alternatives

Compare Alternatives

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FAQ’s

Frequently Asked Questions

Common questions about OpenAI

Pricing is per million tokens. GPT-6 Luna costs $0.10 input and $0.50 output, GPT-6.1 Sol $2.00 and $10.00, and GPT-6 Astra $10.00 and $50.00. Flex and Batch processing cut those rates by 50%.

All customers can use help center chat, which starts with a virtual assistant and escalates to a human. Enterprise customers get 24/7 priority support with SLAs, and premium support adds a dedicated contact and on-call availability.

Scale Tier is an Enterprise option for reserving throughput in token units, bought for at least 30 days. It includes a 99.9% uptime SLA and latency targets for supported models.

Standard seats cost $20 per month billed annually or $25 monthly, and Premium seats cost $100 annually or $125 monthly. The plan is built for teams of 2 to 200 employees.

GPT-6 Astra is for the hardest reasoning tasks, GPT-6.1 Sol covers everyday coding and analysis, and GPT-6 Luna suits high-volume, structured work such as extraction and summarization.

ChatGPT Business and Enterprise data is not used for training by default, and Enterprise adds custom data retention, encryption key management and data residency in ten regions.

Self-serve support starts with a bot, long prompts over 272K tokens cost more, hosted tools add fees, and Trustpilot reviewers report billing and support frustrations.

Common alternatives include Anthropic, Google Gemini, Mistral AI, Cohere and xAI Grok, which differ in pricing, context length, agent tooling and support depth.