Dev AI

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DeepSeek-V3

DeepSeek Chat V3 is a powerful AI model with 671 billion parameters, designed for advanced conversational capabilities and integration via OpenAI-compatible APIs. It excels in tasks like problem-solving, programming, and reasoning, making it ideal for developers to enhance their applications.

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Open AI Text to Speech

OpenAI TTS turns text into lifelike spoken audio, supporting more than 60 different languages and experiment with different voices (alloy, echo, fable, onyx, nova, and shimmer) to find one that matches your desired tone and audience

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Mercury Coder AI

A very fast and Ultra speed AI model, Mercury Coder uses a diffusion-based architecture—unlike traditional LLMs. This allows ultra-fast generation of code and responses.

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Swift AI

Access a wide range of AI models⚡, including OpenAI 🤖,DeepSeek 🔍, Claude 🧠, Gemini 🌟, and Meta LLaMA 🦙, with seamless compatibility via the Swift API ⚡

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GPT-5

GPT‑5 is OpenAI’s most advanced and unified AI model, combining fast, real-time responsiveness with deep reasoning capabilities. It supports multimodal inputs—including text, image, audio, and video—and features a dynamic architecture that switches between quick-answer and “thinking” modes based on prompt complexity. With improved accuracy, reduced hallucinations, and expert-level performance in coding, writing, health, and science, GPT‑5 delivers intelligent, context-aware responses across a wide range of tasks.

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GPT-5 mini

GPT-5 mini is a faster, more cost-efficient version of GPT-5. It's great for well-defined tasks and precise prompts

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GPT-5 nano

GPT-5 Nano is our fastest, cheapest version of GPT-5. It's great for summarization and classification tasks

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GPT-4.1 mini

GPT-4.1 mini excels at instruction following and tool calling. It features a 1M token context window, and low latency without a reasoning step.

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GPT-4.1 nano

GPT-4.1 nano excels at instruction following and tool calling. It features a 1M token context window, and low latency without a reasoning step.

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GPT-4o

GPT-4o (“o” for “omni”) is our versatile, high-intelligence flagship model. It accepts both text and image inputs, and produces text outputs (including Structured Outputs). It is the best model for most tasks, and is OpenAI most capable model outside of our o-series models.

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GPT-4o mini

GPT-4o mini (“o” for “omni”) is a fast, affordable small model for focused tasks. It accepts both text and image inputs, and produces text outputs (including Structured Outputs). It is ideal for fine-tuning, and model outputs from a larger model like GPT-4o can be distilled to GPT-4o-mini to produce similar results at lower cost and latency.

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o3

o3 is a well-rounded and powerful model across domains. It sets a new standard for math, science, coding, and visual reasoning tasks. It also excels at technical writing and instruction-following. Use it to think through multi-step problems that involve analysis across text, code, and images.

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o3-mini

o3-mini is OpenAI newest small reasoning model, providing high intelligence at the same cost and latency targets of o1-mini. o3-mini supports key developer features, like Structured Outputs, and function calling.

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o1-mini

The o1 reasoning model is designed to solve hard problems across domains. o1-mini is a faster and more affordable reasoning model, but we recommend using the newer o3-mini model that features higher intelligence at the same latency and price as o1-mini.

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o4-mini

o4-mini is our latest small o-series model. It's optimized for fast, effective reasoning with exceptionally efficient performance in coding and visual tasks.

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GPT-3.5 Turbo

GPT-3.5 Turbo models can understand and generate natural language or code and have been optimized for chat using the Chat Completions API but work well for non-chat tasks as well. As of July 2024, use gpt-4o-mini in place of GPT-3.5 Turbo, as it is cheaper, more capable, multimodal, and just as fast. GPT-3.5 Turbo is still available for use in the API.

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GPT-4 Turbo

GPT-4 Turbo is the next generation of GPT-4, an older high-intelligence GPT model. It was designed to be a cheaper, better version of GPT-4. Today, we recommend using a newer model like GPT-4o.

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text-embedding-3-small

text-embedding-3-small is our improved, more performant version of our ada embedding model. Embeddings are a numerical representation of text that can be used to measure the relatedness between two pieces of text. Embeddings are useful for search, clustering, recommendations, anomaly detection, and classification tasks.

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text-embedding-3-large

text-embedding-3-large is most capable embedding model for both english and non-english tasks. Embeddings are a numerical representation of text that can be used to measure the relatedness between two pieces of text. Embeddings are useful for search, clustering, recommendations, anomaly detection, and classification tasks.

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text-embedding-ada-002

text-embedding-ada-002 is OpenAI improved, more performant version of OpenAI ada embedding model. Embeddings are a numerical representation of text that can be used to measure the relatedness between two pieces of text. Embeddings are useful for search, clustering, recommendations, anomaly detection, and classification tasks.

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omni-moderation

Moderation models are free models designed to detect harmful content. This model is our most capable moderation model, accepting images as input as well.

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text-moderation

Moderation models are models designed to detect harmful content. This is our text only moderation model; we expect omni-moderation-* models to be the best default moving forward.

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Claude Sonnet 4.5

Claude Sonnet 4.5 is the best coding model in the world. It's the strongest model for building complex agents. It’s the best model at using computers. And it shows substantial gains in reasoning and math.