OpenAI API pricing plans
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OpenAI API Pricing: Plans & API Token Cost Calculator 2026

From a free pay-as-you-go tier to a custom Enterprise contract. You pay per token, and the model you pick swings the rate far more than volume does.

OpenAI API interface screenshot

OpenAI API plans and pricing

High· Verified July 8, 2026
Custom

Enterprise

This is where you get provisioned throughput for consistent latency, zero data-retention guarantees, SOC 2, SSO, and custom rate limits

Custom
Provisioned Throughput for dedicated capacity and consistent latency
Enterprise-grade security, SOC 2 compliance, and zero data training
Custom rate limits and higher usage thresholds
Dedicated account management and engineering support
Single Sign-On (SSO) and advanced access controls
Custom models and co-development opportunities
Contact sales

OpenAI API pricing: the quick answer

Quick answerHigh· Verified July 8, 2026

The OpenAI API's flagship GPT-5.5 costs $5 per 1M input tokens and $30 per 1M output, with cheaper GPT-5, mini, and nano tiers on the same catalog and no monthly subscription. Pay-as-you-go is free to start; o3 and o4-mini sit in the middle for reasoning work. The Batch API cuts every model rate by 50% for jobs that tolerate a delayed response, and prompt caching takes another 50% off repeated input tokens. Stack both and the effective rate drops well below the headline. Enterprise is a custom quote with provisioned throughput.

  • Pay-as-you-goFree
  • EnterpriseCustom
Run your token volumes through the cost calculator to estimate the actual monthly API bill.
Free tier
Yes
Billing model
Token-Based
Annual discount
Not offered

OpenAI API is free to start, against a $8.50/mo median across 10 large language models tools we track.


API Token Pricing

GPT-5.5$5$30
GPT-5$1.25$10
GPT-5 Mini$0.25$2
o3$2$8
o4-mini$1.1$4.4

OpenAI API cost calculator

OpenAI API Hidden Costs & Pitfalls

What sits on top of the plan fee

There is no seat price to break down. The bill is set entirely by which model you call, how many tokens flow, and which discounts apply, batch or caching.

Model choice swings the rate 100x
Input tokens run $0.15 per 1M on GPT-5.5 Mini and $15 per 1M on o1, a hundredfold spread. The same 10M-token workload is $1.50 on Mini or $150 on o1, so model selection, not volume, is usually the biggest lever on the invoice.
$0.15 to $15 per 1M input tokens
Output costs more than input
Output is priced well above input on every model: GPT-5.5 is $2.50 in and $10 out per 1M, and o1 is $15 in and $60 out. A chatty, long-response app spends far more than the input rate implies, so estimate on output volume.
up to $60 per 1M output tokens (o1)
Batch API halves the rate
Async jobs sent through the Batch API get 50% off across all models. For work that tolerates a delayed response, that GPT-5.5 10M-token run drops from $25 to about $12.50, a straight halving for no code beyond the batch endpoint.
50% off all models
Prompt caching on repeat context
On GPT-5.5 and the o-series, cached input tokens get a further 50% discount on a cache hit. Apps that resend a large fixed system prompt every call pay half rate on that repeated portion, which adds up fast at scale.
50% off cached input tokens
Enterprise provisioned throughput
Dedicated capacity for consistent latency is quote-only. You commit to reserved throughput rather than paying per token, so the cost is negotiated against expected volume rather than published on the rate card.
rate not published
The renewal jump, credit expiry and every discount worth having are in the OpenAI API true cost guide, with an email generator for negotiating team and enterprise rates.
OpenAI API Cost Analysis

OpenAI API pricing, read against its live plans and category

Positioning

The OpenAI API skips the category's flat $20 seat entirely and charges you only for the tokens you move. That is the cheapest way to run light or spiky workloads, and the most exposed way to run heavy ones. Model choice is the real lever: the same job on a nano tier versus the GPT-5.5 flagship differs by orders of magnitude, so the invoice is set by which model you call, not how many people are on the team. For scaled production, Enterprise swaps per-token billing for reserved provisioned throughput and adds zero data training.

Cost drivers

  • 1Long chat histories and large system prompts inflate token counts on every call, and it compounds silently.
  • 2Fine-tuning has its own training and hosting charges on top of inference.
  • 3Image generation and Whisper audio bill separately from text.
  • 4Higher rate-limit tiers unlock by cumulative spend, so early accounts hit throttles until they have paid enough to climb.

Watch-outs

The recurring complaint is speed of spend. Multi-agent chains and long context can drain credits far faster than a first estimate suggests, and beginners on low tiers hit rate-limit errors mid-build.

Strengths

Even at the free start you get the full frontier catalog, from GPT-5.5 down to the nano tiers, plus native image generation and embeddings under one key.

  • One API for text, vision, audio, embeddings, and native image generation
  • Batch and caching discounts stack to well below the headline rate
  • The largest developer community of any provider, so integration problems are already solved

What users say

Sign up to platform.openai.com instead of ChatGPT, because then you only get charged for the tokens

Reddit (positive)

WTF, the API cost is crazy expensive.

Reddit (negative)

Editor’s take

Pay-as-you-go is the right call for developers and startups who want to pay strictly for what they run, provided you set a spend cap first. Organizations that need dedicated throughput, guaranteed latency, and SOC 2 should move to Enterprise. If you would rather have a predictable flat monthly line item, look at Claude at $20/mo.

Oleh KemOleh KemFounder & Lead Analyst
ComparEdge EditorialUpdated: July 8, 2026

OpenAI API price history


Price & Data Intelligence SyncLast verified: July 30, 2026 · CE-LLM-2026W31-A48F32 · No changes detected
Up to date

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Frequently asked questions


Sources & verification

Verified by ComparEdgeMethod: Vendor docs, official pages, and selected independent sources
SourceWhat was checkedLast checked
Official Pricing PageSource of verified tiersJuly 8, 2026
Official WebsiteOfficial vendor website
G2G2 verified user reviews · 4.7/5 · 11 reviews
TrustRadiusTrustRadius verified reviews
PeerSpotPeerSpot enterprise peer reviews

Every fact on this OpenAI API pricing page is tied to a named source and a verification date. Freshness-sensitive figures trace to the sources above; verify against the vendor before relying on them.

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