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Models
Try, test, and deploy from a wide range of model types, sizes, and specializations. Learn more.
OpenAI GPT-4o
ModelOpenAI's most advanced multimodal model in the gpt-4o family. Can handle both text and image inputs.
OpenAI GPT-4o mini
ModelAn affordable, efficient AI solution for diverse text and image tasks.
OpenAI o1
ModelFocused on advanced reasoning and solving complex problems, including math and science tasks. Ideal for applications that require deep contextual understanding and agentic workflows.
OpenAI o1-mini
ModelSmaller, faster, and 80% cheaper than o1-preview, performs well at code generation and small context operations.
OpenAI o1-preview
ModelFocused on advanced reasoning and solving complex problems, including math and science tasks. Ideal for applications that require deep contextual understanding and agentic workflows.
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.
A new mixture of experts model
Refresh of Phi-3-mini model.
Refresh of Phi-3-vision model.
Same Phi-3-medium model, but with a larger context size for RAG or few shot prompting.
A 14B parameters model, proves better quality than Phi-3-mini, with a focus on high-quality, reasoning-dense data.
Same Phi-3-mini model, but with a larger context size for RAG or few shot prompting.
Tiniest member of the Phi-3 family. Optimized for both quality and low latency.
Same Phi-3-small model, but with a larger context size for RAG or few shot prompting.
A 7B parameters model, proves better quality than Phi-3-mini, with a focus on high-quality, reasoning-dense data.
AI21 Jamba 1.5 Large
ModelA 398B parameters (94B active) multilingual model, offering a 256K long context window, function calling, structured output, and grounded generation.
AI21 Jamba 1.5 Mini
ModelA 52B parameters (12B active) multilingual model, offering a 256K long context window, function calling, structured output, and grounded generation.
Cohere Command R
ModelCommand R is a scalable generative model targeting RAG and Tool Use to enable production-scale AI for enterprise.
Command R is a scalable generative model targeting RAG and Tool Use to enable production-scale AI for enterprise.
Cohere Command R+
ModelCommand R+ is a state-of-the-art RAG-optimized model designed to tackle enterprise-grade workloads.
Command R+ is a state-of-the-art RAG-optimized model designed to tackle enterprise-grade workloads.
Cohere Embed English is the market's leading text representation model used for semantic search, retrieval-augmented generation (RAG), classification, and clustering.
Cohere Embed Multilingual is the market's leading text representation model used for semantic search, retrieval-augmented generation (RAG), classification, and clustering.
Excels in image reasoning capabilities on high-res images for visual understanding apps.
Advanced image reasoning capabilities for visual understanding agentic apps.
Llama 3.3 70B Instruct offers enhanced reasoning, math, and instruction following with performance comparable to Llama 3.1 405B.
The Llama 3.1 instruction tuned text only models are optimized for multilingual dialogue use cases and outperform many of the available open source and closed chat models on common industry benchmarks.
The Llama 3.1 instruction tuned text only models are optimized for multilingual dialogue use cases and outperform many of the available open source and closed chat models on common industry benchmarks.
The Llama 3.1 instruction tuned text only models are optimized for multilingual dialogue use cases and outperform many of the available open source and closed chat models on common industry benchmarks.
A powerful 70-billion parameter model excelling in reasoning, coding, and broad language applications.
A versatile 8-billion parameter model optimized for dialogue and text generation tasks.
Ministral 3B
ModelMinistral 3B is a state-of-the-art Small Language Model (SLM) optimized for edge computing and on-device applications. As it is designed for low-latency and compute-efficient inference, it it also the perfect model for standard GenAI applications that have
Mistral Large 24.11
ModelMistral Large 24.11 offers enhanced system prompts, advanced reasoning and function calling capabilities.
Mistral Nemo
ModelMistral Nemo is a cutting-edge Language Model (LLM) boasting state-of-the-art reasoning, world knowledge, and coding capabilities within its size category.
Mistral Large
ModelMistral's flagship model that's ideal for complex tasks that require large reasoning capabilities or are highly specialized (Synthetic Text Generation, Code Generation, RAG, or Agents).
Mistral Large (2407)
ModelMistral Large (2407) is an advanced Large Language Model (LLM) with state-of-the-art reasoning, knowledge and coding capabilities.
Mistral Small
ModelMistral Small can be used on any language-based task that requires high efficiency and low latency.
JAIS 30b Chat
ModelJAIS 30b Chat is an auto-regressive bilingual LLM for Arabic & English with state-of-the-art capabilities in Arabic.