Text-embedding-3 series models are the latest and most capable embedding model from OpenAI.

Text-embedding-3 series models are the latest and most capable embedding model from OpenAI.

Focused on advanced reasoning and solving complex problems, including math and science tasks. Ideal for applications that require deep contextual understanding and agentic workflows.

o3 includes significant improvements on quality and safety while supporting the existing features of o1 and delivering comparable or better performance.

o3-mini includes the o1 features with significant cost-efficiencies for scenarios requiring high performance.

Focused on advanced reasoning and solving complex problems, including math and science tasks. Ideal for applications that require deep contextual understanding and agentic workflows.

Smaller, faster, and 80% cheaper than o1-preview, performs well at code generation and small context operations.

gpt-4.1-mini outperform gpt-4o-mini across the board, with major gains in coding, instruction following, and long-context handling

gpt-4.1-nano provides gains in coding, instruction following, and long-context handling along with lower latency and cost

OpenAI's most advanced multimodal model in the gpt-4o family. Can handle both text and image inputs.

gpt-5-chat (preview) is an advanced, natural, multimodal, and context-aware conversations for enterprise applications.

gpt-5 is designed for logic-heavy and multi-step tasks.

gpt-5-nano is optimized for speed, ideal for applications requiring low latency.

The DeepSeek R1 0528 model has improved reasoning capabilities, this version also offers a reduced hallucination rate, enhanced support for function calling, and better experience for vibe coding.

DeepSeek-R1 excels at reasoning tasks using a step-by-step training process, such as language, scientific reasoning, and coding tasks.

Excels in image reasoning capabilities on high-res images for visual understanding apps.

Llama 3.3 70B Instruct offers enhanced reasoning, math, and instruction following with performance comparable to Llama 3.1 405B.

Advanced image reasoning capabilities for visual understanding agentic apps.

Llama 4 Scout 17B 16E Instruct is great at multi-document summarization, parsing extensive user activity for personalized tasks, and reasoning over vast codebases.

Codestral 25.01 by Mistral AI is designed for code generation, supporting 80+ programming languages, and optimized for tasks like code completion and fill-in-the-middle