Models

Small Qwen3.5 multimodal model for low-cost chat, reasoning, and tool use

Smallest Qwen3.5 multimodal model for on-device chat, reasoning, and tool use

Pre-trained Qwen3.5 base checkpoint for fine-tuning and research, without instruction tuning

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

Pre-trained Qwen3.5 base checkpoint for fine-tuning and research, without instruction tuning

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

Turkish-language multimodal instruct model built on Gemma 3 12B for e-commerce text, chat, and image-text tasks

Flagship Indian-language reasoning model for enterprise multilingual applications

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

Compact multilingual model specialized for South Asian languages

Compact multilingual model specialized for West Asian and African languages

Compact multilingual model balanced across 70 languages and regions

Compact multilingual model specialized for European and Asia-Pacific languages

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

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

High-accuracy OCR model for extracting text from documents, screenshots, receipts, and natural scenes

Lightly post-trained 398B MoE chat model for creative work, long-context prompts, and tool-using agents

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

GLM-Image is an image generation model adopts a hybrid autoregressive + diffusion decoder architecture. In general image generation quality, GLM‑Image aligns with mainstream latent diffusion approaches, but it shows significant advantages in text-rendering and knowledge‑intensive generation scenarios. It performs especially well in tasks requiring precise semantic understanding and complex information expression, while maintaining strong capabilities in high‑fidelity and fine‑grained detail generation. In addition to text‑to‑image generation, GLM‑Image also supports a rich set of image‑to‑image tasks including image editing, style transfer, identity‑preserving generation, and multi‑subject consistency.

AI21's efficient, lightweight hybrid SSM-Transformer model for a wide range of tasks

Earlier MiniMax agent model for practical coding and productivity tasks

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

Embedding model for semantic search, retrieval, clustering, and ranking pipelines

Reranking model for improving retrieval quality in search and recommendation systems

MiMo flash model for fast multimodal assistance and agent workflows

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

Multilingual visual model for operating smartphone interfaces and mobile 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

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

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

Open 8B Essential AI model for code, STEM reasoning, and agentic tool use

Mistral coding agent model for repository tasks and software engineering workflows

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

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

Open vision-language model for efficient local deployment, instruction following, and tool use

Compact open vision-language model for edge deployment, instruction following, and tool use