Models

Efficient multimodal model for instruction following, coding, reasoning, and function calling

Cohere command model for multilingual enterprise agents, tools, and chat

Open multimodal Gemma instruction model for multilingual text generation and image understanding

Largest open Gemma 3 instruction model for multilingual text generation and visual understanding

Open multimodal Gemma instruction model for efficient text generation and image understanding

Open reasoning model from the Qwen team for math, coding, and step-by-step problem solving

Open Command R model optimized for Arabic enterprise chat, RAG, and cultural knowledge

R1 reasoning distilled into Qwen 2.5 32B for efficient open-weight step-by-step problem solving

Classic open reasoning model for transparent math, coding, and deliberate problem solving

Open DeepSeek MoE chat model for coding, math, and general reasoning

Compact Microsoft instruction model tuned for efficient coding assistance, reasoning, and low-latency agent tasks

Popular open Llama workhorse for multilingual chat, coding, and self-hosting

Cohere retrieval model for long-context chat and enterprise RAG workflows

Flagship Mistral model for advanced reasoning, coding, and multilingual work

Open coding-focused Qwen model for code generation, repair, and repository reasoning

Tiny open Qwen code model for lightweight completion and on-device coding

Flagship Mistral model for advanced reasoning, coding, and multilingual work

Mistral's larger vision model for document-heavy image understanding and chat

Open multilingual model optimized for generation across 23 languages

Efficient open Mistral edge model for on-device chat and function calling

Compact Mistral model for edge, latency-sensitive, and cost-efficient workloads

Compact open Llama base model for lightweight and on-device use

Small open Llama base model for lightweight text generation and self-hosting

Open multimodal Llama model for image understanding, captioning, and visual QA

Mistral vision-language model for image understanding and multimodal chat

Qwen vision-language model for visual reasoning, documents, and agent tasks

Cohere retrieval model for long-context chat and enterprise RAG workflows

Cohere's RAG workhorse for long-context enterprise search and tool use

Compact Nemotron model for efficient reasoning and deployable AI agents

Llama 3.1-based safety classifier for moderating prompts and model responses

Open Llama instruction model for multilingual chat, reasoning, and coding

Compact open Llama model for lightweight chat, drafting, and self-hosting

Efficient Mistral-NVIDIA open model for multilingual chat and local deployment

Open Mistral code model for fill-in-the-middle and 80+ programming languages

Mistral code model for completions, refactors, and developer IDE workflows

Granite 4.1 8B is a dense, decoder-only 8-billion-parameter language model from IBM, part of the Granite 4.1 family. It supports a 131K-token context window and is designed for enterprise tasks...

Granite 4.2 8B is a dense reasoning model from IBM. It is suited for mathematics, code generation, multilingual dialogue, and agentic workflows that need multi-step reasoning. It supports full, low-effort,...