OpenAI

OpenAI API and Models on GPTProto

Explore OpenAI models for reasoning, coding, image and video generation, speech, transcription, and embeddings. Compare live GPTProto pricing and task fit, then move from general-purpose GPT models to specialized Codex, Sora, image, audio, or embedding models with one shared API key.

Which OpenAI model do you actually need?

GPT 5.6 Sol
Highest reasoning

$3.2 / $16 per 1M tokens · $4 / $0.32 cache · 1.05M context

GPT 5.6 Terra
Best everyday coding

$1.6 / $9.6 per 1M tokens · $2 / $0.16 cache · 1.05M context

GPT 5.6 Luna
Fastest / cheapest

$0.16 / $0.96 per 1M tokens · $0.2 / $0.016 cache · 1.05M context

Models

Text Embedding Ada 002
The text-embedding-ada-002 model is the industry standard for transforming text into high-dimensional vector representations. By utilizing text-embedding-ada-002, developers can achieve unparalleled accuracy in semantic search, recommendation engines, and sentiment analysis tasks. This specific ai model optimizes cost and performance, making the text-embedding-ada-002 api a top choice for enterprise-grade ai applications. At GPTProto, we provide seamless access to text-embedding-ada-002 without the hassle of complex credit systems. By integrating text-embedding-ada-002 into your stack, you unlock the ability to process vast amounts of unstructured data with ease, ensuring your ai projects remain scalable and efficient.
byOpenAI$0.07/M input
Text Embedding 3 Small
The text-embedding-3-small model represents a major leap in embedding efficiency and cost-effectiveness. As a cornerstone of modern natural language processing, text-embedding-3-small allows developers to transform text into high-dimensional vectors that capture deep semantic meaning. Optimized for Retrieval-Augmented Generation (RAG) and semantic search, text-embedding-3-small outperforms previous generations like ada-002 while reducing infrastructure costs. By integrating text-embedding-3-small through GPTProto, you gain access to a stable, low-latency API that supports dimensionality reduction, enabling faster vector database queries and more scalable AI solutions without the complexity of traditional credit systems.
byOpenAI$0.014/M input
Text Embedding 3 Large
The text-embedding-3-large model represents the pinnacle of semantic representation in the AI industry. With 3072 dimensions, text-embedding-3-large provides unparalleled nuance for vector search, recommendation engines, and RAG systems. Available via the high-speed GPTProto API, text-embedding-3-large allows developers to capture complex relationships in text data. Whether you are building a global search platform or a niche AI agent, text-embedding-3-large offers the stability and depth required for professional-grade deployments. GPTProto ensures that your text-embedding-3-large integration is cost-effective, reliable, and easy to scale without complex credit systems or hidden fees.
byOpenAI$0.091/M input

Pricing

Your usage

OpenAI · ≈ 148M tokens/mo (48M cached)

OpenRouter
List + 5.5% credit fee
$903.08
per month
Input (non-cached)$270.08
Output$633
OpenAI
Direct from OpenAI (list price)
$856
per month
Input (non-cached)$256
Output$600
GPTProto
5% off official
$904.40
per month
After discount$904.40
Effective$904.40
Monthly cost by source
OpenRouter
$903.08
OpenAI
$856
GPTProto
$904.40
Comparable across channels
GPTProto is not cheaper than the available alternatives for this budget.
Monthly usage ≈ $904.4 · pay as you go

GPTProto applies a per-model discount (10–30% off official) on top of bonus credits — every unit costs less than going direct.

About OpenAI Models

OpenAI develops general-purpose and specialized AI models for reasoning, coding, visual understanding, image and video generation, speech, transcription, and semantic search. Its product names describe different jobs: GPT models handle broad text, vision, and tool-based workflows; Codex focuses on agentic software engineering; GPT Image and Sora generate visual media; audio models convert between speech and text; and embedding models turn text into vectors for retrieval. This OpenAI models collection shows only AI models by OpenAI that are available through GPTProto. The catalog updates as GPTProto adds support or availability changes.

Why Use OpenAI with GPTProto?

Compare general and specialized OpenAI models without maintaining a separate balance for every model family.

Cross-Modality Access

Use one GPTProto account for OpenAI text, image, video, audio, and embedding workloads.

Compare Live Costs

Review current GPTProto and reference rates on each model card before choosing a production model.

Test More Families

Evaluate GPT, Codex, Sora, image, audio, and embedding models under one shared balance.

Automatic Route Fallback

If one upstream route becomes unavailable, GPTProto automatically switches the request to another available route.

How to Access OpenAI Models

Get started with an OpenAI model through GPTProto.

  1. 1

    Create a GPTProto Account

    Sign up and open the dashboard to manage your balance, API keys, and usage.

  2. 2

    Generate an API Key

    Create a key in your dashboard and store it securely in your application or server environment.

  3. 3

    Choose a Model and Endpoint

    Open the selected model page for its endpoint and native parameters; text, image, video, audio, and embedding models do not all share one request schema.

Use cases

Common ways teams use OpenAI on GPTProto.

Chat and copilots

Build customer support, internal assistants, and product copilots with GPT models.

Coding and agents

Power code generation, review loops, and multi-step agent workflows.

Multimodal generation

Generate and edit images or combine text with vision inputs for richer product features.

OpenAI API Models FAQ

Which OpenAI models are available on GPTProto?

The live directory on this page is the current source of truth for OpenAI models available through GPTProto. Use its filters to view general GPT, coding, image, video, audio, and embedding models.

Which OpenAI model should I choose?

Use the Picker above to start from your task. Choose a coding-specialized model for repository work, a current GPT tier for reasoning or high-volume text tasks, an image or video model for media generation, an audio model for speech workflows, or an embedding model for retrieval.

Do I need a separate OpenAI API key?

No. Generate a GPTProto API key and use the supported OpenAI Model ID shown on the selected model page.

Is this every model released by OpenAI?

No. This page covers OpenAI models currently available through GPTProto, not every model or alias in OpenAI's official catalog.

Do all OpenAI models use the same endpoint and request format?

No. Text, image, video, audio, and embedding models use different request schemas and billing units. GPTProto exposes the native parameters supported by each listed model, so review its model page before integration.

Does GPTProto store API prompts, images, videos, or outputs?

GPTProto does not retain prompts, images, videos, or outputs submitted through API requests. Content created with GPTProto's online generation tools is retained so users can access it later.

Are failed, timed-out, or blocked requests charged?

No. Requests that fail, time out, or are blocked are not billed.

What happens if an upstream service becomes unavailable?

GPTProto automatically switches to another available route when the current upstream route is unavailable.

Start Building With OpenAI Models

Compare live models, choose the right Model ID, and make your first request with one GPTProto API key.

Start with OpenAI

One GPTProto API key for OpenAI and other providers.

Get API Key