# OpenAI Browse models from OpenAI ## Latest Models ### [OpenAI: GPT-Image-1.5](/content/openai/gpt-image-1.5) #### Overview OpenAI's GPT Image 1.5 is the latest evolution of its AI image generation, offering superior instruction following, photorealism, text rendering, and editing control, making it ideal for detailed creative and production work with faster speeds and lower costs than predecessors like DALL-E 3. It excels at complex requests, maintaining character/style consistency, rendering crisp text in visuals, and understanding nuanced prompts through built-in reasoning, integrated into ChatGPT and available via API. - **Input type:** 5/M tokens - **Output Type:** 10/M tokens --- ### [OpenAI: GPT-Image-2](/content/openai/gpt-image-2/index.html) #### Overview GPT Image 2 — OpenAI's next-generation image generation model. It delivers rapid, high-quality image generation and editing capabilities, with support for flexible image dimensions and high-fidelity image inputs for seamless creative workflows. - **Input type:** 5/M tokens - **Output Type:** --- ### [OpenAI: Text Embedding 3 Small](/content/openai/text-embedding-3-small/index.html) #### Overview text-embedding-3-small is OpenAI's improved, more performant version of the 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. - **Input type:** 0.02/M tokens - **Output Type:** 0/M tokens --- ### [OpenAI: GPT-4.1 Nano](/content/openai/gpt-4.1-nano/index.html) #### Overview For tasks that demand low latency, GPT‑4.1 nano is the fastest and cheapest model in the GPT-4.1 series. It delivers exceptional performance at a small size with its 1 million token context window, and scores 80.1% on MMLU, 50.3% on GPQA, and 9.8% on Aider polyglot coding – even higher than GPT‑4o mini. It’s ideal for tasks like classification or autocompletion. - **Input type:** 0.1/M tokens - **Output Type:** 0.4/M tokens --- ### [OpenAI: GPT-4o-mini](/content/openai/gpt-4o-mini/index.html) #### Overview GPT-4o mini is OpenAI's newest model after GPT-4 Omni, supporting both text and image inputs with text outputs. As their most advanced small model, it is many multiples more affordable than other recent frontier models, and more than 60% cheaper than GPT-3.5 Turbo. It maintains SOTA intelligence, while being significantly more cost-effective. - **Input type:** 0.15/M tokens - **Output Type:** 0.6/M tokens --- ### [OpenAI: GPT-5 Chat](/content/openai/gpt-5-chat/index.html) #### Overview GPT-5 Chat is designed for advanced, natural, multimodal, and context-aware conversations for enterprise applications. - **Input type:** 1.25/M tokens - **Output Type:** 10/M tokens --- ### [OpenAI: GPT-4.1 Mini](/content/openai/gpt-4.1-mini/index.html) #### Overview GPT-4.1 Mini is a mid-sized model delivering performance competitive with GPT-4o at substantially lower latency and cost. It retains a 1 million token context window and scores 45.1% on hard instruction evals, 35.8% on MultiChallenge, and 84.1% on IFEval. Mini also shows strong coding ability and vision understanding, making it suitable for interactive applications with tight performance constraints. - **Input type:** 0.4/M tokens - **Output Type:** 1.6/M tokens --- ### [OpenAI: GPT-4o](/content/openai/gpt-4o/index.html) #### Overview GPT-4o is OpenAI's latest AI model, supporting both text and image inputs with text outputs. It maintains the intelligence level of GPT-4 Turbo while being twice as fast and 50% more cost-effective. GPT-4o also offers improved performance in processing non-English languages and enhanced visual capabilities. - **Input type:** 2.5/M tokens - **Output Type:** 10/M tokens --- ### [OpenAI: o4 Mini](/content/openai/o4-mini/index.html) #### Overview OpenAI o4-mini is a compact reasoning model in the o-series, optimized for fast, cost-efficient performance while retaining strong multimodal and agentic capabilities. It supports tool use and demonstrates competitive reasoning and coding performance across benchmarks. - **Input type:** 1.1/M tokens - **Output Type:** 4.4/M tokens --- ### [OpenAI: GPT-5.2 Chat](/content/openai/gpt-5.2-chat/index.html) #### Overview GPT-5.2 Chat (AKA Instant) is the fast, lightweight member of the 5.2 family, optimized for low-latency chat while retaining strong general intelligence. It uses adaptive reasoning to selectively “think” on harder queries, improving accuracy on math, coding, and multi-step tasks without slowing down typical conversations. - **Input type:** 1.75/M tokens - **Output Type:** 14/M tokens --- ### [OpenAI: GPT-5.2](/content/openai/gpt-5.2) #### Overview GPT-5.2 is the newest frontier-grade model in the GPT-5 family, outperforming GPT-5.1 in agentic capabilities and long-context handling. It uses adaptive reasoning to dynamically allocate compute. - **Input type:** 1.75/M tokens - **Output Type:** 14/M tokens --- ### [OpenAI: GPT-5.3 Chat](/content/openai/gpt-5.3-chat/index.html) #### Overview GPT-5.3 Chat points to the GPT-5.3 Instant snapshot currently used in ChatGPT. - **Input type:** 1.75/M tokens - **Output Type:** 14/M tokens ---