Models

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

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

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

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

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

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

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

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

Open Qwen coding heavyweight for repository reasoning and agentic engineering

Mistral coding agent model for repository tasks and software engineering workflows

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

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

Sparse MoE Qwen model with 3B active parameters for efficient chat and reasoning

Flagship Nemotron model for high-throughput reasoning and complex agents

Open Llama with long-context vision for efficient multimodal agents

Open multimodal Llama for strong reasoning with efficient everyday serving

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

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

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

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

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

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