OpenAI
OpenAI publishes a pricing page with 5 discoverable plan tier(s). Self-serve signup exists alongside a sales-led / custom tier. Public API documentation is reachable without an auth wall.
API Pricing
$2.50/1M input, $15/1M output (GPT-5.4); $0.75/1M input (GPT-5.4 mini)
Higher volume
Higher volume
Higher volume
Higher volume
Contact sales
How OpenAI scores on the agent-ready dimensions
Public pricing
15 / 15
Usage-based / metered
20 / 25
Self-serve checkout
10 / 15
Public API
15 / 15
Low / no minimum
10 / 10
Unauth automated payment
6 / 10
Bonus (machine-readable pricing)On top of /100 base
0 / 5
Total
76 / 100
Six-step check: can an agent actually buy from OpenAI?
Discover price
https://openai.com/api/pricing/ — full token rates tableSelect a plan
Multiple distinguishable models with separate per-token pricing on https://openai.com/api/pricing/Pay per task
Per-token billing on every modelAvoid a sales call
PAYG self-serve at https://platform.openai.com/API docs without auth
https://platform.openai.com/docs — publicEstimate cost upfront
Token rates with calculator at https://openai.com/api/pricing/Pros and cons for AI agents
Observational summary written by xpay from the signals captured on 2026-05-03. Not a review of the product — only of its current pricing posture for agent buyers.- Pricing is publicly visible on an indexable page — agents can read tiers without scraping past auth.
- Per-unit billing is published, so an agent can budget for a single task before committing.
- API documentation is reachable without a login — discovery and integration can happen in one session.
- Per-unit rate is concrete enough that an agent can model expected spend before issuing a request.
- Some tiers are sales-led; the highest-capacity surfaces are not self-serve.
- PPU requires account creation and an issued API key; a fully unauthenticated agent purchase is not yet supported.
- No /.well-known/ai-pricing.json or equivalent machine-readable pricing manifest is published — agents must rely on HTML scraping.
How OpenAI could lift its score
Expose an anonymous-purchase path (no account required) for the smallest paid tier — even a $1 PAYG entry.
| pricing_visible | true |
| headline_phrasing | API Pricing |
| tier_count | 5 |
| lowest_paid_entry_usd | 0 |
| free_tier | false |
| free_tier_terms | Free trial credits historically; PAYG with no minimum after card add |
| per_unit_price | $2.50/1M input, $15/1M output (GPT-5.4); $0.75/1M input (GPT-5.4 mini) |
| annual_required | false |
| self_serve_paid_tiers | 5 |
| sales_only_tiers | 1 |
| public_api_docs_url | https://openai.com/api/ |
| api_docs_auth_walled | false |
| ai_pricing_json_present | false |
| agents_txt_present | false |
| anonymous_purchase_path | false |
| agent_friendly | {"ai_pricing_json":false,"agents_txt":false,"llms_txt":false,"sitemap_xml":true,"mcp_server_card":false,"agent_skills_index":false,"x402_supported":false} |
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See agent-ready picksOpenAI
76
/ 100 (rubric v1.1)AI Inference
API Pricing
5
No
Free trial credits historically; PAYG with no minimum after card add
Free
$2.50/1M input, $15/1M output (GPT-5.4); $0.75/1M input (GPT-5.4 mini)
5 / 1
Public
No
Not published
2026-05-03
Discovery files and protocols
Side-channel signals — informational, not part of the score. Each protocol is independent; adoption signals the publisher is thinking about agent buyers.ai-pricing.json
agents.txt
llms.txt
sitemap.xml
MCP Server Card
Agent Skills
x402 / MPP
Compare OpenAI with peers
Highest-scoring companies in the same category that an AI agent might evaluate as an alternative.Groq
87
RunPod
79
Replicate
78
Anthropic
76
Modal
76
DeepInfra
76
Together AI
74
Fireworks AI
74
Explore the Agent-Ready SaaS Index
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