Models

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

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

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

Multimodal model for analyzing text, images, documents, and rich media

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

DeepSeek chat model for instruction following, coding, and analysis

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

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

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

Open vision-language MoE model for image and video understanding, documents, and visual agents

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

Open-weight instruction model for adaptable chat and self-hosted production workloads

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

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

September 2025 Kimi K2 instruction update with a 256K context and improved agentic coding

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

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

Reasoning model for deliberate analysis, multi-step problem solving, and tool use

DeepSeek chat model for instruction following, coding, and analysis

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

Smaller Qwen coder for efficient local agents and repo-level fixes

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

Lighter GLM-4.5 variant for fast coding assistance and cheaper agents

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

Open audio-language model for speech transcription, audio understanding, and voice-driven tool use