OpenAI

OpenAI provides hosted language-model APIs billed primarily by token usage. This page connects the verified catalog entry to practical monthly cost planning.

Categories
LLM
Models and endpoints
3
Guide reviewed
Sep 24, 2026

Models, translated into money

Per million tokens. See what your budget actually buys.

TaskBudget · USD
Compare3 models
Task
Budget USD

GPT-6 Luna

What $10 gets you

About 22,222chats

Where it fits

Good fit
ChatSupportCodingDocuments
Calculate with GPT-6 LunaUse in calculator

ByeTokens

GPT-6 Luna


  • Your budget$10
  • Buys about22,222 chats
  • WorkloadTypical chat2,000 input + 500 output tokens per request

  • Price examples
    100 chats$0.0450
  • 1,000 chats$0.4500
  • 10,000 chats$4.50

Catalog 2026-09-26-7e5c5fac
Each line is a separate example.

How we calculated thisVerified Sep 26
Typical chat assumption2,000 input · 500 output tokens per request

Official pricing

openai-gpt-6-luna-standard · Current · Standard billing

Standard text
$0.10 input · $0.50 output / 1M tokens
Above 272,000 input tokens per request
$0.20 input · $0.75 output / 1M tokens

Verified Sep 26, 2026

Model details

Model ID
gpt-6-luna
Tool calling
true
Structured output
true
context Window
1,050,000
max Output Tokens
128,000
modality
text
processing Tier
standard
cached Input
No

Task evidence

General chat: 80 / 100 · good fit

Support chat: 80 / 100 · good fit

Coding help: 86 / 100 · good fit

Document work: 82 / 100 · good fit

Research agent: No current score

Catalog 2026-09-26-7e5c5fac

GPT-6 Sol

What $10 gets you

About 1,111chats

Where it fits

Strong fit
Coding
Good fit
ChatSupportDocumentsResearch
Calculate with GPT-6 SolUse in calculator

ByeTokens

GPT-6 Sol


  • Your budget$10
  • Buys about1,111 chats
  • WorkloadTypical chat2,000 input + 500 output tokens per request

  • Price examples
    100 chats$0.9000
  • 1,000 chats$9.00
  • 10,000 chats$90.00

Catalog 2026-09-26-7e5c5fac
Each line is a separate example.

How we calculated thisVerified Sep 26
Typical chat assumption2,000 input · 500 output tokens per request

Official pricing

openai-gpt-6-sol-standard · Current · Standard billing

Standard text
$2.00 input · $10.00 output / 1M tokens
Above 272,000 input tokens per request
$4.00 input · $15.00 output / 1M tokens

Verified Sep 26, 2026

Model details

Model ID
gpt-6-sol
Tool calling
true
Structured output
true
context Window
1,050,000
max Output Tokens
128,000
modality
text
processing Tier
standard
cached Input
No

Task evidence

General chat: 85 / 100 · good fit

Support chat: 84 / 100 · good fit

Coding help: 95 / 100 · strong fit

Document work: 85 / 100 · good fit

Research agent: 88 / 100 · good fit

Catalog 2026-09-26-7e5c5fac

GPT-6 Astra

What $10 gets you

About 222chats

Where it fits

Strong fit
ChatSupportCodingResearch
Good fit
Documents
Calculate with GPT-6 AstraUse in calculator

ByeTokens

GPT-6 Astra


  • Your budget$10
  • Buys about222 chats
  • WorkloadTypical chat2,000 input + 500 output tokens per request

  • Price examples
    100 chats$4.50
  • 1,000 chats$45.00
  • 10,000 chats$450.00

Catalog 2026-09-26-7e5c5fac
Each line is a separate example.

How we calculated thisVerified Sep 26
Typical chat assumption2,000 input · 500 output tokens per request

Official pricing

openai-gpt-6-astra-standard · Current · Standard billing

Standard text
$10.00 input · $50.00 output / 1M tokens
Above 272,000 input tokens per request
$20.00 input · $75.00 output / 1M tokens

Verified Sep 26, 2026

Model details

Model ID
gpt-6-astra
Tool calling
true
Structured output
true
context Window
1,050,000
max Output Tokens
128,000
modality
text
processing Tier
standard
cached Input
No

Task evidence

General chat: 94 / 100 · strong fit

Support chat: 95 / 100 · strong fit

Coding help: 99 / 100 · strong fit

Document work: 84 / 100 · good fit

Research agent: 97 / 100 · strong fit

Catalog 2026-09-26-7e5c5fac

OpenAI is represented in this catalog as a hosted large-language-model provider. For a product team, the useful planning question is not the price of a consumer ChatGPT subscription. It is the API cost created by application requests, input context, and generated output. The calculator therefore treats every request as a pair of token quantities and applies the public API rate for the exact catalogued model.

Where OpenAI fits

An OpenAI model can cover the language component of chat assistants, research workflows, classification, extraction, and structured generation. It does not replace search, page retrieval, image generation, or video generation in a mixed application. Those categories are priced independently and then combined into a stack total.

This separation matters when a feature performs several operations for one user action. A research task may call the language model more than once, run web searches, and scrape pages. The calculator preserves those operations as distinct workload rows instead of hiding them inside a single average request.

How the estimate is built

The active catalog entry uses separate rates for input and output tokens. Each enabled language workload is calculated with its own request count and token profile. The results are added only after the correct context band has been selected for every workload. This avoids averaging a short chat prompt with a much larger research prompt before pricing.

The live cards above contain the model identifier, current rate structure, limits, verification date, and official sources. They come from the versioned pricing snapshot, not from this article. Updating the catalog changes those cards without requiring editorial text to be rewritten.

What to check before choosing it

Token cost is only one constraint. Check the required context window, maximum output length, tool-calling support, and structured-output support against the application. Unknown capability data is not treated as support. If a required capability is missing or unverified, the offer is excluded from compatible recommendations rather than assigned an optimistic score.

The estimate excludes application hosting, storage, vector databases, retries, taxes, and engineering work. It also excludes caching, batch discounts, and negotiated agreements unless a future catalog entry models them explicitly. The result should be read as a reproducible API budget for the selected workload, not a complete infrastructure forecast.

Use the calculator

Choose the catalogued model above to open the calculator with Chat enabled and that exact offer locked. You can then change monthly users, messages, input tokens, and response length while keeping the provider selection stable. Unlocking the component returns it to the normal cost comparison.

Prices can change. Always review the displayed verification date and official pricing source before making a purchasing decision.