Models

DeepSeek V4.1 Flash model for reasoning and agentic coding

Flagship GLM model for long-horizon coding, agents, and complex project delivery

DeepSeek V4 Pro snapshot with million-token context and support for thinking and non-thinking modes

Open-weight sparse MoE (2.4T total, 95B active), the open-weight twin of Qwen3.8 Max for coding, research, complex reasoning, and agentic workflows

Fast NVIDIA Nemotron MoE for reliable agentic tasks across enterprise workloads

Fast NVIDIA Nemotron MoE for reliable agentic tasks across enterprise workloads

Official DeepSeek V4 Flash release with enhanced agentic capabilities and integrated DSpark speculative decoding

Multimodal Kimi model with 1M context and toggleable max-effort thinking for long-horizon agent work

Multimodal MoE reasoning model (975B total, 41B active) for text, image, and audio

Open flagship GLM for long-horizon coding agents and million-token context work

Lower-latency Kimi Code variant for interactive edits and coding-agent loops

Coding-focused Kimi model, stronger on long-horizon repo work with less overthinking

MiniMax multimodal model for long-context coding, perception, and agent planning

Balanced Mistral model for enterprise assistants, multilingual work, and tools

Open MoE flagship with million-token context for coding and long agent runs

Fast DeepSeek V4 lane for economical reasoning, coding, and long-context work

DeepSeek V4 Pro initial snapshot with million-token context and support for thinking and non-thinking modes

Initial DeepSeek V4 Flash snapshot for economical reasoning, coding, and million-token agent workloads

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

Multimodal Kimi workhorse for agent loops, coding tasks, and visual context

Strong GLM coding model for agentic engineering, terminals, and repository generation

Open Gemma instruction model for efficient chat and self-hosted deployments

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

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

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

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

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

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

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

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

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

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

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

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

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

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

Compact Nemotron model for efficient reasoning and deployable AI agents

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

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

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

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