Models

NVIDIA vision-language reasoning model for text, image, and video understanding and agentic tool use

Fast NVIDIA Nemotron MoE for reliable agentic tasks across enterprise workloads

Multimodal MoE reasoning model (276B total, 12B active) for text, image, and audio

Agentic coding model from Poolside in the XS size class for local deployment

Multimodal Kimi model with 1M context and toggleable max-effort thinking for long-horizon agent work

Open flagship GLM for long-horizon coding agents and million-token context work

Coding-focused Kimi model, stronger on long-horizon repo work with less overthinking

Compact Gemma 4 instruction model for open, self-hosted chat and reasoning

Largest Nemotron 3 model for maximum open-weight reasoning and agent accuracy

MiniMax multimodal model for long-context coding, perception, and agent planning

Balanced Mistral model for enterprise assistants, multilingual work, and tools

Open MoE flagship with million-token context for coding and long agent runs

Fast DeepSeek V4 lane for economical reasoning, coding, and long-context work

Stronger MiMo Pro tier for multimodal reasoning and coding-agent execution

Open MiMo model for multimodal coding agents and long-context automation

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

Multimodal Kimi workhorse for agent loops, coding tasks, and visual context

Open multimodal Qwen MoE for local agents that need vision, audio, and code

Strong GLM coding model for agentic engineering, terminals, and repository generation

Largest Gemma 4 instruction model for open, self-hosted chat and reasoning

Open Gemma instruction model for efficient chat and self-hosted deployments

Open Gemma instruction model for efficient chat and self-hosted deployments

Open MiniMax flagship for coding agents, office automation, and complex environments

Fast Mistral production model for chat, extraction, and cost-sensitive agents

Nemotron middle tier for collaborative agents and high-volume reasoning workloads

Efficient open Liquid MoE instruct model for on-device chat and tool calling

Qwen instruction model for multilingual chat, reasoning, and tool use

Small Nemotron 3 MoE for efficient coding, math, and long-context agents

Mistral's coding-agent model for repository work, terminal tasks, and software fixes

Compact multimodal coding model for repository exploration, file editing, and software agents

Mistral's largest general model for enterprise agents, coding, and multilingual reasoning

Compact multimodal Mistral model for local assistants, edge agents, and efficient tool use

Hybrid-reasoning DeepSeek model with thinking and non-thinking modes

Open GPT reasoning model for self-hosted agents and controllable deployments

Open GPT reasoning model for self-hosted agents and controllable deployments

Updated large open Qwen3 MoE instruct model for multilingual chat, coding, and tool use

Open Mistral reasoning model for transparent step-by-step problem solving

Dense 8B Qwen3 model with switchable thinking for chat, reasoning, and tool use

Dense open Qwen model for self-hosted chat, reasoning, and coding

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

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

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

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

Compact instruction-tuned Llama model for multilingual dialogue and on-device assistants

Small instruction-tuned Llama model for multilingual dialogue and agentic retrieval

Mistral vision-language model for image understanding and multimodal chat

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