Models

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

Reasoning-optimized 398B MoE agent model with extended thinking for long-horizon and multi-turn tool use

Nemotron model for efficient reasoning, coding, and specialized AI agents

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

Low-latency M2.7 variant for interactive coding plans and agent loops

Efficient Mistral model for fast chat, extraction, and production assistants

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

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

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

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

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

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

Efficient Indian-language reasoning model for chat, coding, and multilingual work

Large open Qwen multimodal MoE for visual agents and long technical tasks

High-speed MiniMax model for low-latency coding and agent workflows

General GLM flagship for coding, analysis, and tool-heavy engineering workflows

Prior MiniMax coding model for agent workflows, office edits, and automation

Open-weight Qwen coding model for agents, repository edits, and multi-turn tool use

StepFun flash lane for quick multimodal reasoning and coding assistance

Safety model for policy screening, moderation, and risk-aware routing workflows

Efficient GLM model for fast reasoning, coding, and agent workflows

Budget GLM lane for fast coding help, routing, and everyday automation

Earlier Kimi frontier model for long-context agents, coding, and multimodal work

Earlier MiniMax agent model for practical coding and productivity tasks

Mature GLM model for dependable coding, reasoning, and structured agent tasks

MiMo flash model for fast multimodal assistance and agent workflows

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

Lightweight GLM vision model for visual reasoning, documents, and multimodal agents

GLM vision model for visual reasoning, documents, and multimodal agents

DeepSeek reasoning model for multi-step analysis, math, coding, and tools

Reasoning-tuned 26B MoE model with 3B active parameters for agents, tools, and multi-step workloads

Hybrid-reasoning DeepSeek model with thinking and non-thinking modes, sparse attention, and tool-use

Thinking Kimi model for slower research passes, planning, and hard technical questions

Kimi reasoning model for long-horizon research, planning, and tool use

Safety model for policy screening, moderation, and risk-aware routing workflows

Safety model for policy screening, moderation, and risk-aware routing workflows

Nemotron multimodal model for visual reasoning and agentic AI workflows

Efficient open MiniMax model built for coding agents and tool-heavy workflows

Late GLM-4 workhorse for coding agents, reasoning, and structured tasks

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

Fully open 70B multilingual LLM supporting 1800+ languages with 65K context. Trained on 15T tokens of compliant open data. Apache 2.0, EU AI Act compliant.

Flagship Indian-language reasoning model for enterprise multilingual applications

Efficient Qwen thinking model for local reasoning, math, and coding agents

Cohere reasoning model for multilingual enterprise agents, tools, and complex workflows

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

Compact Nemotron model for efficient reasoning and deployable AI agents

GLM vision model for visual reasoning, documents, and multimodal agents

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

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

Hybrid-reasoning GLM release that made the 4.5 line broadly useful