PROVIDER GUIDE
Profilo provider OpenAI: modelli, protocolli, giudizio di fornitura e prossimi passi
Esamina OpenAI tramite copertura modelli, compatibilita protocollo, base URL predefinito, modelli esempio e il percorso successivo verso un controllo key reale.
Global supply sideModel labKey check available
OpenAI
OpenAI is tracked as a Model lab on the Global supply side, with 62 visible model entries right now. This route can continue into a direct key check.
Protocollo APIPrezzi APIAlternativeTracked models
62
Visible model count pulled from the current catalog layer.
Supply market
Global supply side
China and global routes should be judged separately.
Current status
Key check available
A direct key check is already available.
Protocol / entry
OpenAI
Confirm protocol fit before you move into checking or sales work.
GIUDIZIO DI FORNITURA
OpenAI should not be viewed as a brand-name page first. It should be viewed as a supply-structure page. Right now it sits on the Global supply side as a Model lab, with 62 visible models and a current status of “Key check available.”
OpenAI is tracked as a Model lab on the Global supply side, with 62 visible model entries right now. This route can continue into a direct key check.
If you already hold a real key from this provider, the next move should not be more reading. It should be confirming model visibility, protocol fit, and sale readiness.
CONTROLLI RAPIDI
Check whether the provider’s model families can actually support the workflow you want to sell or use.
Check protocol and base URL compatibility before you discover integration problems later.
If you are already choosing between supply routes, move to a comparison page instead of stopping here.
If you are choosing by workflow, the next move is a use-case page, not another brand page.
PROTOCOLLI E ACCESSO
SEDE
San Francisco, US
BASE URL PREDEFINITO
https://api.openai.com/v1
PROTOCOLLI
OpenAIResponsesVisionAudio
FAMIGLIE PRINCIPALI
GPT-5.5GPT-5.4 miniGPT-5o3
MODELLI ESEMPIO
GPT-3.5 TurboGPT-3.5 Turbo (older v0613)GPT-3.5 Turbo 16kGPT-3.5 Turbo Instruct
Catalog base updated on 2026-04-28T02:37:19.613Z.
PROSSIME AZIONI
Dopo la pagina provider, passa al prossimo passo.
Decision loop
Move provider traffic through pricing before the real key check
Once someone is evaluating a provider page, the shortest serious path is pricing context first, then the read-only key check.
Entry: this provider profile
Use the provider page as the supply starting point, not the final stop.
1. Read the provider pricing snapshot
Review price levels, sample models, and protocol fit before deciding where to send production traffic.
2. Continue into the real key check
Use the real key check to confirm visible models, limits, and risk on a live key.
Open key check
Core routes
Do not let provider pages become the end of the visit
Provider pages are good for supply judgment, but deeper sessions come from moving between checking, models, pricing, latest-model hubs, and compare routes.
Check this key
Confirm provider ownership, model visibility, limits, and risk on a real key.
Model hub
Return to the model hub and connect supply judgment to actual model choices.
Pricing page
Open pricing, context, and sample models for this provider.
Latest models
Pull fresh-model traffic back into the latest-models hub.
Compare hub
Move into high-intent comparisons when you are making tradeoffs.
Check OpenAI keys
If you already have a real key, the best next move is to verify visibility, protocol fit, and sale readiness together.
Open key check
OpenAI vs Claude
Compare OpenAI and Anthropic / Claude through a practical lens: ecosystem breadth, writing quality, product fit, and what to inspect before you test a real key.
Open comparisons
Best AI for customer support
A practical page for teams trying to improve first-response speed, knowledge consistency, and ticket continuity. Clarify the reply drafting, knowledge grounding, multi-turn handling, and ticket cleanup workflow first, then move into models, providers, or real key checks.
Open use cases
Pilot routes
These pages are in the next sampling lane
They are not being pushed through robots yet. Feed them from strong intent pages first, then decide whether they deserve to return to the public crawl lane.
CONFRONTI CORRELATI
OpenAI vs Claude
Compare OpenAI and Anthropic / Claude through a practical lens: ecosystem breadth, writing quality, product fit, and what to inspect before you test a real key.
Qwen vs OpenAI
Compare Qwen and OpenAI across enterprise cloud fit, model-family breadth, global compatibility, and real onboarding paths.
Kimi vs OpenAI
Compare Kimi / Moonshot and OpenAI across long-context knowledge work, coding flows, tool ecosystems, and broader product integration.
CASI D'USO
Best AI for customer support
A practical page for teams trying to improve first-response speed, knowledge consistency, and ticket continuity. Clarify the reply drafting, knowledge grounding, multi-turn handling, and ticket cleanup workflow first, then move into models, providers, or real key checks.
Best AI for sales teams
A practical page for teams trying to improve follow-up speed, better messaging, and deal progress. Clarify the lead follow-up, email drafting, call notes, and next-step suggestions workflow first, then move into models, providers, or real key checks.
Best AI for coding
A practical page for teams trying to improve developer speed, code quality, and team output. Clarify the code generation, refactoring, debugging, and code explanation workflow first, then move into models, providers, or real key checks.
GUIDE AI MIGLIORI MODELLI
Best AI model for customer support
Lay out the real decision factors for customer support first, then move deeper into models, providers, comparison routes, and live key checks.
Best AI model for sales teams
Lay out the real decision factors for sales first, then move deeper into models, providers, comparison routes, and live key checks.
Best AI model for coding
Lay out the real decision factors for coding first, then move deeper into models, providers, comparison routes, and live key checks.