Models

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

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

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

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

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

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

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

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

Mistral vision-language model for image understanding and multimodal chat

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

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

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

Compact Nemotron model for efficient reasoning and deployable AI agents

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

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

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

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

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,...