Models

Reasoning-first Gemini preview for agentic coding and complex problem solving

Advanced Gemini model for complex reasoning, coding, and multimodal analysis

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

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

Claude workhorse for coding agents, careful analysis, and production cost control

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

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

Flagship ByteDance Seed 2.0 model for complex multimodal reasoning and long-horizon agent workflows

Cost-efficient ByteDance Seed 2.0 model for production chat, analysis, and structured generation

Lightweight ByteDance Seed 2.0 model for low-latency multimodal reasoning and high-volume tasks

ByteDance Seed coding model for multimodal software engineering and long-running agents

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

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

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

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

High-end Claude for difficult coding, planning, and slower expert reasoning

Coding-optimized GPT model for repository edits, reviews, and agentic software work

Coding-optimized GPT model for repository edits, reviews, and agentic software work

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

StepFun flash lane for quick multimodal reasoning and coding assistance

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

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

MiniMax M2 variant tuned for conversational and character-driven agent interactions

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

Flagship model for demanding analysis, coding, and production agent workflows

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

ByteDance Seed model for multimodal reasoning, long-context analysis, and agent workflows

Earlier MiniMax agent model for practical coding and productivity tasks

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

New Gemini flash lane bringing frontier-style multimodal reasoning to cheaper runs

MiMo flash model for fast multimodal assistance and agent workflows

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

Higher-accuracy GPT-5.2 variant for tougher reasoning and review workflows

Chat-tuned GPT model for conversational assistance, writing, and tool workflows

Code-specialist GPT for repository edits, reviews, and long-running software agents

Reliable GPT generation for broad coding, writing, and tool-assisted product work

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

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

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

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

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

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

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

Mistral coding agent model for repository tasks and software engineering workflows

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

Multimodal reasoning model for visual analysis, planning, and tool use

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

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