A 398B parameters (94B active) multilingual model, offering a 256K long context window, function calling, structured output, and grounded generation.

A 52B parameters (12B active) multilingual model, offering a 256K long context window, function calling, structured output, and grounded generation.

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.

A powerful 70-billion parameter model excelling in reasoning, coding, and broad language applications.

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.

Command 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.

Command R+ is a state-of-the-art RAG-optimized model designed to tackle enterprise-grade workloads.

A versatile 8-billion parameter model optimized for dialogue and text generation tasks.

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.

Mistral Nemo is a cutting-edge Language Model (LLM) boasting state-of-the-art reasoning, world knowledge, and coding capabilities within its size category.

Mistral Small can be used on any language-based task that requires high efficiency and low latency.

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

Mistral'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) is an advanced Large Language Model (LLM) with state-of-the-art reasoning, knowledge and coding capabilities.